{"id":11930,"date":"2025-06-30T12:51:40","date_gmt":"2025-06-30T12:51:40","guid":{"rendered":"https:\/\/www.aegissofttech.com\/insights\/?p=11930"},"modified":"2026-04-06T13:38:25","modified_gmt":"2026-04-06T13:38:25","slug":"snowflake-cost-optimization","status":"publish","type":"post","link":"https:\/\/www.aegissofttech.com\/insights\/snowflake-cost-optimization\/","title":{"rendered":"Ultimate Guide to Snowflake Cost Optimization: Best Practices &amp; Strategies"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Businesses of all sizes and natures strive for financial efficiency\u2014meticulously tracking expenses and plugging obvious leaks. However, the cloud data world is vast and dynamic, making the possibility of insidious, unseen leaks inevitable. Resources consume valuable credits silently and are often only noticed when the monthly bill arrives.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You&#8217;ve embraced Snowflake, trusting its architecture to power your insights and simplify your data operations. <em>But<\/em> the very elasticity that makes it so powerful can also induce surprising costs if not carefully managed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By the end of 2025, a staggering <a href=\"https:\/\/www.prnewswire.com\/news-releases\/44-5-billion-in-infrastructure-cloud-waste-projected-for-2025-due-to-finops-and-developer-disconnect-finds-finops-in-focus-report-from-harness-302385580.html\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">$44.5 billion in cloud infrastructure spend<\/a> is projected to be wasted globally due to underutilized resources. <em>But you don\u2019t have to contribute to it.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Here\u2019s the ultimate guide to Snowflake cost optimization to help you identify and seal those leaks, ensuring your data platform delivers maximum value. As a renowned <a href=\"https:\/\/www.aegissofttech.com\/snowflake-services\" target=\"_blank\" rel=\"noreferrer noopener\">Snowflake Development Company<\/a>, we know the cost of snowflake development, so we have discussed all the scenarios you should know about.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Let\u2019s begin!<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Laying the Foundation for Snowflake Cost Optimization: Pricing Explained<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.aegissofttech.com\/insights\/snowflake-database\/\">Snowflake database<\/a> follows the <strong><em>pay-as-you-go<\/em><\/strong> principle, stating you only have to pay for the compute or the storage you use. Currently, Snowflake offers multiple editions, each serving a specific purpose.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Snowflake editions follow a specific hierarchy:<\/p>\n\n\n    \t<section class=\"call-to-action-section\">\n    \t\t<div class=\"call-to-action-container\">\n    \t\t\t<div class=\"call-to-action-body\">\n    \t\t\t\t<div class=\"cta-title\"><\/div>\n    \t\t\t\t<p>Standard \ud83e\udc6a Enterprise \ud83e\udc6a Business Critical \ud83e\udc6a Virtual Private Snowflake<\/p>\n    \t\t\t<\/div>\n    \t\t\t    \t\t<\/div>\n    \t<\/section>\n    \n\n\n\n<p class=\"wp-block-paragraph\">In simpler terms, <strong><em>higher edition = higher price per credit = better features<\/em><\/strong>.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Snowflake-edition-with-key-features-1024x683.webp\" alt=\"A depiction of each variant of the Snowflake edition with key features\" class=\"wp-image-11931\" style=\"width:1024px;height:auto\" title=\"A depiction of each variant of the Snowflake edition with key features\" srcset=\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Snowflake-edition-with-key-features-1024x683.webp 1024w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Snowflake-edition-with-key-features-300x200.webp 300w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Snowflake-edition-with-key-features-768x512.webp 768w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Snowflake-edition-with-key-features.webp 1536w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Snowflake pricing also depends on the given factors:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Platform:<\/strong> You can choose leading cloud platforms like AWS, Google Cloud, or Microsoft Azure.<\/li>\n\n\n\n<li><strong>Region<\/strong>: US-East, US-West, Canada, etc.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">For instance, the price upon choosing AWS and for the US East (Ohio) region would be:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Standard Edition:<\/strong> $2 cost\/credit<\/li>\n\n\n\n<li><strong>Enterprise Edition<\/strong>: $3 cost\/credit<\/li>\n\n\n\n<li><strong>Business Critical Edition<\/strong>: $4 cost\/credit<\/li>\n\n\n\n<li><strong>Virtual Private Snowflake<\/strong>: For this, Snowflake has to be contacted.<\/li>\n\n\n\n<li><strong>On-demand Storage<\/strong>: $40\/TB\/month<\/li>\n\n\n\n<li><strong>Capacity Storage<\/strong>: $23\/TB\/month<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Snowflake\u2019s decoupled architecture comprises three layers, namely <em>storage, compute, and services<\/em>. The pricing model is also based on your actual usage of these layers within the Snowflake platform.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What is Snowflake Credit?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Snowflake credit is a unit of measure. You can use them to pay for the consumption of the resources within the platform. These are consumed only when resources are used.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For instance, your Snowflake credits will be consumed if the virtual warehouse and serverless features (including Snowpipe and materialized views) are running.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Snowflake Compute Pricing<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Snowflake\u2019s compute is the <em>virtual warehouse<\/em> where you run workloads. You can choose from a variety of virtual warehouses (VWHs) depending on the kind of workload you run. The size of the virtual warehouse also determines how fast a query runs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>When the virtual warehouse is not running or is in a suspended state, it does not consume any credits.<\/em><\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img decoding=\"async\" width=\"1024\" height=\"130\" src=\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Snowflake-virtual-warehouse-sizes-1024x130.webp\" alt=\"Table showing Snowflake virtual warehouse sizes (XS to 6XL) and corresponding credits\" class=\"wp-image-11932\" style=\"width:1024px;height:auto\" title=\"Table showing Snowflake virtual warehouse sizes (XS to 6XL) and corresponding credits\" srcset=\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Snowflake-virtual-warehouse-sizes-1024x130.webp 1024w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Snowflake-virtual-warehouse-sizes-300x38.webp 300w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Snowflake-virtual-warehouse-sizes-768x98.webp 768w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Snowflake-virtual-warehouse-sizes.webp 1233w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Snowflake\u2019s credits have fixed rates and are billed by the second, with a minimum time of one minute.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>Here\u2019s a basic formula to evaluate the compute cost:&nbsp;<\/em><\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\">$ (Cost) = No. of clusters (applicable if multi-cluster configuration, else consider 1)&nbsp;<br>x Number of nodes (determined by Warehouse Size)&nbsp;<br>x Warehouse running time (in hours)<br>x $ value per credit (based on region and cloud provider)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Note these factors here:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>60 seconds is the minimum billing for all VWHs, irrespective of size &amp; type.<\/li>\n\n\n\n<li>Beyond the 60 seconds, the billing is calculated on a per-second basis.<\/li>\n\n\n\n<li>Resizing the warehouse incurs additional costs every time.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Snowflake Cloud Services Pricing &amp; Calculation<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Cloud services are resources within the platform. Snowflake automatically assigns them according to your specific workload requirements. But understanding your Snowflake bill, especially in the case of the Cloud Services layer, can feel like a complex puzzle.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Beyond compute and storage, these essential services orchestrate everything and directly impact your overall spend. Let&#8217;s break down the mechanics behind Snowflake&#8217;s Cloud Services pricing and calculations, but first, let\u2019s understand its key tasks.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The Cloud Service layer primarily undertakes the following tasks:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Authentication<\/li>\n\n\n\n<li>Security and Governance<\/li>\n\n\n\n<li>Metadata management<\/li>\n\n\n\n<li>Transaction management<\/li>\n\n\n\n<li>Query caching<\/li>\n\n\n\n<li>Query compilation and optimization<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Managing these resources yourself is a hefty task and best done with the aid of a reliable Snowflake development services partner.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Snowflake also offers discounts up to 10% on daily compute credits. Let\u2019s understand it with the following formula:<\/p>\n\n\n    \t<section class=\"call-to-action-section\">\n    \t\t<div class=\"call-to-action-container\">\n    \t\t\t<div class=\"call-to-action-body\">\n    \t\t\t\t<div class=\"cta-title\"><\/div>\n    \t\t\t\t<p>Credits billed = Actual Compute credits + Actual Cloud Service credits \u2013 (10% of daily compute credits)<\/p>\n    \t\t\t<\/div>\n    \t\t\t    \t\t<\/div>\n    \t<\/section>\n    \n\n\n\n<p class=\"wp-block-paragraph\"><em>For instance<\/em>, if your compute credits per day are 100, and your cloud service cost is 10, then you do not have to pay anything for using the cloud service. Your 10% discount on the actual compute, which in this case is 100, will nullify the amount.<\/p>\n\n\n    \t<section class=\"call-to-action-section\">\n    \t\t<div class=\"call-to-action-container\">\n    \t\t\t<div class=\"call-to-action-body\">\n    \t\t\t\t<div class=\"cta-title\"><\/div>\n    \t\t\t\t<p>10% of 100 (actual compute credits) = 10 credits (this would be discounted)<\/p>\n    \t\t\t<\/div>\n    \t\t\t    \t\t<\/div>\n    \t<\/section>\n    \n\n\n\n<h2 class=\"wp-block-heading\">Snowflake Managed Service Features<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Snowflake&#8217;s comprehensive suite of managed services is one of its biggest appeals. It holds the power to abstract away infrastructure complexities and boost your operational efficiency.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>But are you fully leveraging these <a href=\"https:\/\/www.aegissofttech.com\/insights\/advanced-snowflake-features\/\">snowflake features<\/a> to their maximum potential?<\/em> Its powerful capabilities simplify your data operations while optimizing performance and cost. You do not have control over defining or allocating resources that Snowflake manages.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Let&#8217;s explore how Snowflake&#8217;s managed features empower your data team.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u2022 Snowpipe and Snowpipe Streaming<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">It is an automated service that rapidly ingests streaming data without a virtual warehouse.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u2022 Database Replication<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">It replicates the data across the cloud and regions with standard storage and data transfer costs.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u2022 Materialized View<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Automatically syncs materialized views with underlying base tables without using the virtual warehouse.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u2022 Automatic Clustering <\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Applies to tables and materialized views to maintain the optimal clustering state of the table by using defined cluster keys.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u2022 Search Optimization Service<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Billed per second, it uses Snowflake-managed compute resources to speed up the point look-up queries.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Cost &amp; Performance Driving Parameters of the Warehouse<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Your Snowflake virtual warehouse is the engine of your analytics. It directly impacts <a href=\"https:\/\/www.aegissofttech.com\/insights\/query-performance-in-snowflake\/\" data-type=\"link\" data-id=\"https:\/\/www.aegissofttech.com\/insights\/query-performance-in-snowflake\/\">query performance<\/a> and operational costs. It is imperative that you are well-versed in its configuration choices for optimizing spend while ensuring blazing-fast query execution.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Let us understand all the key parameters within the Snowflake virtual warehouse.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img decoding=\"async\" width=\"1024\" height=\"593\" src=\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/configuring-the-warehouse-within-Snowflake-1024x593.webp\" alt=\"Different warehouse level parameters while configuring the warehouse within Snowflake\" class=\"wp-image-11933\" title=\"Different warehouse level parameters while configuring the warehouse within Snowflake\" srcset=\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/configuring-the-warehouse-within-Snowflake-1024x593.webp 1024w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/configuring-the-warehouse-within-Snowflake-300x174.webp 300w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/configuring-the-warehouse-within-Snowflake-768x445.webp 768w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/configuring-the-warehouse-within-Snowflake.webp 1536w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">1. Warehouse Size<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The warehouse size ranges from X-Small to 6X-Large. It controls the number of compute resources and impacts query parallelism and speed.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. Max Concurrency Level<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Different concurrency levels define the number of queries that can run parallelly. Higher sizes naturally support greater concurrency.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3. Auto-Suspend<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Automatically suspends the warehouse after a defined period of inactivity to help save costs.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">4. Auto-Resume<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">For smoother execution without manual intervention, it automatically resumes the warehouse when a new query is submitted.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">5. Min\/Max Clusters (for Multi-Cluster Warehouses)<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">These are used in multi-cluster setups to scale out for high-concurrency workloads. It automatically starts more clusters if necessary.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">6. Scaling Policy<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Includes two options, namely <em>Standard<\/em> and <em>Economy<\/em>. They determine the cluster\u2019s aggressiveness upon addition or removal from multi-cluster warehouses.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">7. Resource Monitors<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">It tracks and controls credit usage to manage costs effectively. The warehouse is alerted or suspended when it approaches the threshold.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Managing the <em>Compute credits <\/em>is of utmost importance. The following section goes deeper into the best practices of compute management and cost optimization.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">11 Snowflake Cost Optimization Best Practices<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Without a proactive strategy, your compute costs can quickly outpace expectations and turn Snowflake\u2019s elasticity into a headache.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>How do you ensure you&#8217;re not overspending while maintaining peak performance?<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As a business owner, your knowledge shouldn\u2019t be limited to&nbsp; Snowflake pricing and credit details, but you should also learn about its best practices.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Here are tested Snowflake cost optimization best practices for actionable strategies to help eliminate waste, streamline resource consumption, and maximize your ROI.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. Workload Isolation<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Your multiple workloads must include data ingestion, data engineering teams, data transformation, and data analytics. Creating a single virtual warehouse supporting all these workloads and teams is not always recommended. Allocating different warehouses to different teams makes it easier to track and scale compute.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"700\" src=\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Snowflake-architecture-showing-various-workloads-and-scaling.webp\" alt=\"Snowflake architecture showing various workloads and scaling\" class=\"wp-image-11934\" style=\"width:1026px;height:auto\" title=\"Snowflake architecture showing various workloads and scaling\" srcset=\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Snowflake-architecture-showing-various-workloads-and-scaling.webp 1000w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Snowflake-architecture-showing-various-workloads-and-scaling-300x210.webp 300w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Snowflake-architecture-showing-various-workloads-and-scaling-768x538.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">2. Right Scaling Policy on Multi-Cluster Warehouse<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The two policies to choose from are:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>STANDARD:<\/strong> It focuses on delivering high query performance by minimizing wait times. Upon detecting queuing, it quickly spins up an additional VWH to handle the load. It is suitable for user-facing workloads where attention on speed and responsiveness is high.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>ECONOMY:<\/strong> As a cost-efficient option, it is well-suited for batch workloads where performance is not the top priority. It does not immediately react to query queues. Instead, it waits until there&#8217;s at least six minutes of work queued before adding more clusters.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">3. AUTO_SUSPEND Settings<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">It is a parameter set when configuring the warehouse and is directly proportional to the warehouse cache that Snowflake provides. If the warehouse is suspended, all its cache is lost. Consequently, incremental queries won&#8217;t be able to use the cache to improve query performance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">While all analytical workloads should keep the AUTO_SUSPEND parameter minimum, here is the recommendation for all other kinds of workloads:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Use Cases<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>Recommended AUTO_SUSPEND<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>Reason<\/strong><\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Interactive \/ BI Queries<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">60 \u2013 120 seconds<\/td><td class=\"has-text-align-center\" data-align=\"center\">Minimizes idle cost while ensuring quick response for ad-hoc queries<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>ETL \/ Batch Jobs<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">300 \u2013 600 seconds<\/td><td class=\"has-text-align-center\" data-align=\"center\">Avoids frequent suspend-resume during short gaps in scheduled workloads<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Low Usage \/ Dev Warehouse<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">60 \u2013 180 seconds<\/td><td class=\"has-text-align-center\" data-align=\"center\">Keeps costs low while allowing occasional testing or development queries<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>High-Concurrency Workload<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">60 seconds or based on demand<\/td><td class=\"has-text-align-center\" data-align=\"center\">Prioritize responsiveness for many concurrent users<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Rarely Used<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">30 \u2013 60 seconds<\/td><td class=\"has-text-align-center\" data-align=\"center\">Suspend as quickly as possible to minimize cost<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">4. Scaling Up a Warehouse<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Scaling up a warehouse involves increasing the warehouse size, for instance, going from X-Small to Large. It often happens in the case of complexity that you must handle.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Condition<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>When to Scale Up a Warehouse<\/strong><\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Resource spillage or disk spillage<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">When queries spill to local or remote storage, it&#8217;s a sign that you need more memory or CPU.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Long-running queries<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">If individual queries are taking too long, increasing size improves parallelism and CPU availability.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Consistent workload slowdowns<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">If performance is slow across the board, even with low usage, the warehouse size may be too small.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Heavy transformations<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">For large JOINs, aggregations, window functions, or MERGE\/UPDATE\/DELETE, bigger compute can significantly speed up performance.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Low concurrency but high compute<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">When a few users or processes run computationally intensive tasks, scaling up is wiser than adding more clusters.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">5. Scaling Out a Warehouse<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"700\" src=\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Scaling-Out-a-Warehouse.webp\" alt=\"Multi-cluster can automatically add or remove additional small clusters to an existing warehouse as the workload changes\n\" class=\"wp-image-11935\" style=\"width:1026px;height:auto\" title=\"Multi-cluster can automatically add or remove additional small clusters to an existing warehouse as the workload changes\" srcset=\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Scaling-Out-a-Warehouse.webp 1000w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Scaling-Out-a-Warehouse-300x210.webp 300w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Scaling-Out-a-Warehouse-768x538.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">You scale out a warehouse when there is a need for concurrency. The multi-cluster warehouse comes into play here.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Suppose you have workloads where, at any point in time, there are multiple processes and jobs expected to run. In such a situation, the multi-cluster warehouse will kick in.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Here are a few key use cases for its consideration:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Condition<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>When to Scale Out<\/strong><\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>High query concurrency<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Multiple users or apps are submitting queries at the same time.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Queued queries<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Scaling out distributes the load if queries often wait in the queue and are not long-running.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>BI dashboards with multiple users<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Dashboards can trigger many simultaneous queries. Scale out to keep them responsive.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Customer-facing apps<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Since end-user queries should not queue, scaling out maintains real-time performance.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Multiple data pipelines running<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Concurrent ETL\/ELT workflows benefit from more parallel compute<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">6. STATEMENT_TIMEOUT_IN_SECONDS Value Settings<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">STATEMENT_TIMEOUT_IN_SECONDS is a manageable value at a warehouse level, set to be 48 hours by default.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Hence, if a bad query is executed on the platform, it can continue running for at least 48 hrs. It will thus cost you more and must be set at each warehouse level to optimize the spend.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Aspect<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>Best Practice<\/strong><\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Default Behaviour<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">The timeout is 48 hours by default. Queries can hence run till that time without manual intervention.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Align with Use Case<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Interactive queries: 300\u2013600 seconds. ETL workloads: 1800+ seconds.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Monitor &amp; Adjust<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Use <em>Query History<\/em> to identify unusually long-running queries. Tune the timeout accordingly.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Purpose<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Automatically cancels long-running queries after a defined time.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Use for Cost &amp; Governance<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Prevents accidentally expensive or poorly&nbsp;written queries, which may consume too many resources.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Set at Appropriate Level<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Preferably set at the warehouse level for workload flexibility.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Avoid Overly Aggressive Values<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">A very short timeout (eg, 30 seconds) can kill valid complex queries.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">7. Resource Monitor Set up at a Warehouse Level<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Resource monitors are Snowflake\u2019s internal feature for tracking the credit consumption. Setting up resource monitors for every warehouse to optimize credit is recommended.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"602\" height=\"708\" src=\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Set-up-Resource-Monitors-at-a-Warehouse-Level.webp\" alt=\"Snowflake resource monitor setup for warehouse credit quota\" class=\"wp-image-11936\" title=\"Snowflake resource monitor setup for warehouse credit quota\" srcset=\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Set-up-Resource-Monitors-at-a-Warehouse-Level.webp 602w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/Set-up-Resource-Monitors-at-a-Warehouse-Level-255x300.webp 255w\" sizes=\"(max-width: 602px) 100vw, 602px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">8. Minimum Cluster Size to 1 <\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">To avoid overprovisioning in a multi-cluster warehouse, set the minimum cluster size to one. Snowflake automatically adds clusters as needed, up to the defined maximum, with minimal provisioning delay. If the minimum cluster count is above 1, it can result in idle clusters incurring charges.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"700\" src=\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/single-warehouse-vs-a-multi-cluster-warehouse.webp\" alt=\"Comparison of a large single warehouse vs a multi-cluster warehouse for query handling\" class=\"wp-image-11937\" style=\"width:1026px;height:auto\" title=\"Comparison of a large single warehouse vs a multi-cluster warehouse for query handling\" srcset=\"https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/single-warehouse-vs-a-multi-cluster-warehouse.webp 1000w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/single-warehouse-vs-a-multi-cluster-warehouse-300x210.webp 300w, https:\/\/www.aegissofttech.com\/insights\/wp-content\/uploads\/2025\/06\/single-warehouse-vs-a-multi-cluster-warehouse-768x538.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">9. Access Controls for a Warehouse<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.aegissofttech.com\/insights\/snowflake-role-based-access-control\/\">Applying Role-Based Access Control (RBAC) to VWHs in Snowflake<\/a> secures access while working as a strategic lever for cost optimization. You can prevent unauthorized or unintentional consumption of computing resources by controlling who can start, stop, modify, or resume a warehouse.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You can grant specific authorities, such as ETL admins or data scientists, the usage rights on heavy-duty warehouses. It will help you reduce the risk of triggering large compute clusters for lightweight queries.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Similarly, you can restrict the ability to resize or resume warehouses. Consequently, warehouses do not stay active unnecessarily and dodge idle compute charges<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">10. Query Frequency Choices<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Batch data transformation pipelines usually run hourly by default in many enterprises. Yet, this often mismatches actual downstream consumption, which may not genuinely require such frequent, low-latency updates. You can adjust the run frequency of these pipelines to align with your specific business needs. It will help you achieve substantial cost optimizations.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">11 Data Management<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Effective data management involves systematically organizing, maintaining, and storing data to lower unnecessary expenses. Regularly reviewing and pruning unused\/old data, efficiently loading data, and leveraging micro-partitioning for optimal query performance are a few things to follow.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Implement clear data retention policies to understand data access patterns. It is a proactive approach that minimizes storage costs while optimizing compute usage by processing only necessary, well-structured data.<\/p>\n\n\n<section class=\"call-to-action-section\">\n<div class=\"call-to-action-container\">\n<div class=\"call-to-action-body\">\n<div class=\"cta-title\"><\/div>\n<\/p>\n<div style=\"text-align:center; color:white;\">\n<strong>Also Read:<\/strong> <a href=\"https:\/\/www.aegissofttech.com\/insights\/snowflake-data-models\/\" target=\"_blank\">Data Models in Snowflake: Design Strategies for Performance<\/a><\/div>\n<\/p>\n<\/div>\n<\/div>\n<\/section>\n\n\n\n<h2 class=\"wp-block-heading\">16 High-Impact Cost Optimization Metrics<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Getting into the depths of Snowflake cost optimization is more than just learning its strategies.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>You need precise measurement and knowledge of where your credits are going.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Here is a practical checklist of key areas to focus on for granular cost control within your Snowflake environment:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Parameters\/Case in Point<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>Category<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>Comments<\/strong><\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Manage <strong>auto_suspend<\/strong> Values<\/td><td class=\"has-text-align-center\" data-align=\"center\">Compute<\/td><td class=\"has-text-align-center\" data-align=\"center\">Check this value at the warehouse level.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Manage <strong>statement_timeout<\/strong> Values<\/td><td class=\"has-text-align-center\" data-align=\"center\">Compute<\/td><td class=\"has-text-align-center\" data-align=\"center\">The default value is 48 hours at a warehouse level. Change it to an optimum level.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Manage <strong>Warehouse Size<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Compute<\/td><td class=\"has-text-align-center\" data-align=\"center\">Reduce the warehouse size of the workloads as necessary.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Warehouse Segregation<\/td><td class=\"has-text-align-center\" data-align=\"center\">Compute<\/td><td class=\"has-text-align-center\" data-align=\"center\">Results in better user experience and workload isolation.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Manage <strong>Cluster Size<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Compute<\/td><td class=\"has-text-align-center\" data-align=\"center\">Query queuing enables size change from single to multi-cluster.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Manage <strong>Query Frequency<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Compute<\/td><td class=\"has-text-align-center\" data-align=\"center\">Optimizes the number of query runs.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Consolidate Warehouse<\/td><td class=\"has-text-align-center\" data-align=\"center\">Compute<\/td><td class=\"has-text-align-center\" data-align=\"center\">A single warehouse solves all data teams or environments.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Avoid Frequent DML Operations<\/td><td class=\"has-text-align-center\" data-align=\"center\">Storage<\/td><td class=\"has-text-align-center\" data-align=\"center\">Minimize DML operations when necessary.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Lower Data Retention Period<\/td><td class=\"has-text-align-center\" data-align=\"center\">Storage<\/td><td class=\"has-text-align-center\" data-align=\"center\">Time travel to Active byte percentage checks must be done continuously.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Drop Unused Warehouse<\/td><td class=\"has-text-align-center\" data-align=\"center\">Compute<\/td><td class=\"has-text-align-center\" data-align=\"center\">Eliminates inactive warehouses.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Use Transient\/Temporary Tables<\/td><td class=\"has-text-align-center\" data-align=\"center\">Storage<\/td><td class=\"has-text-align-center\" data-align=\"center\">Determine the right table design in the layered architecture.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Drop Unused Tables<\/td><td class=\"has-text-align-center\" data-align=\"center\">Storage<\/td><td class=\"has-text-align-center\" data-align=\"center\">Housekeeping checks.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Manage <strong>Failed Query Runs<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Compute<\/td><td class=\"has-text-align-center\" data-align=\"center\">Identify the failed query runs and avoid running them.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Manage <strong>Long Running Queries<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Compute<\/td><td class=\"has-text-align-center\" data-align=\"center\">Apply query optimization techniques.<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Resource Monitors, Budgets,Alerts &amp; Notifications<\/td><td class=\"has-text-align-center\" data-align=\"center\">Alerts<\/td><td class=\"has-text-align-center\" data-align=\"center\">Actively set and monitor these for proactive cost control.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">How can Aegis Softtech help with Snowflake Cost Optimization?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Optimizing cost within a data platform is important for sustainable and scalable operations. You must actively manage compute resources, query efficiency, and storage usage to eliminate unnecessary expenditure while maintaining performance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Snowflake cost optimization prevents overspending and aligns platform usage with business priorities. So, you can allocate the budget towards innovation and growth.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At Aegis Softtech, our seasoned experts deliver <a href=\"https:\/\/www.aegissofttech.com\/snowflake-services\/consulting\">Snowflake consulting services<\/a> for the right governance, With our professional team by your side to guide <a href=\"https:\/\/www.aegissofttech.com\/snowflake-services\/implementation\">Snowflake implementation<\/a>, achieve high operational efficiency, and cut your Snowflake costs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Contact us to ensure your data works smarter, not costlier.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">FAQs<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Q1. What are the top Snowflake cost optimization techniques?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Top Snowflake cost optimization techniques include optimizing query performance, managing data retention policies, right-sizing virtual warehouses, and scaling out a warehouse. Adopting these helps reduce costs.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Q2. What are the native features of the best Snowflake cost optimization tools?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Top Snowflake cost optimization tools include native features like Resource Monitors, Account Usage schema, Auto-Suspend\/Resume for warehouses, and Query Profile for usage analysis.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Q3. How to reduce costs in Snowflake?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">To reduce costs in Snowflake, you must adopt the right strategies and techniques as per your organizational needs.<\/p>\n","protected":false},"excerpt":{"rendered":" ","protected":false},"author":4,"featured_media":11939,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[493],"tags":[1493],"class_list":["post-11930","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-snowflake","tag-snowflake-cost-optimization"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.aegissofttech.com\/insights\/wp-json\/wp\/v2\/posts\/11930","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aegissofttech.com\/insights\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aegissofttech.com\/insights\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aegissofttech.com\/insights\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aegissofttech.com\/insights\/wp-json\/wp\/v2\/comments?post=11930"}],"version-history":[{"count":18,"href":"https:\/\/www.aegissofttech.com\/insights\/wp-json\/wp\/v2\/posts\/11930\/revisions"}],"predecessor-version":[{"id":19087,"href":"https:\/\/www.aegissofttech.com\/insights\/wp-json\/wp\/v2\/posts\/11930\/revisions\/19087"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aegissofttech.com\/insights\/wp-json\/wp\/v2\/media\/11939"}],"wp:attachment":[{"href":"https:\/\/www.aegissofttech.com\/insights\/wp-json\/wp\/v2\/media?parent=11930"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aegissofttech.com\/insights\/wp-json\/wp\/v2\/categories?post=11930"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aegissofttech.com\/insights\/wp-json\/wp\/v2\/tags?post=11930"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}