What type of data platforms can you migrate to Snowflake?

The types of data platforms we migrate to Snowflake are as follows:Legacy Databases - Oracle, SQL Server, Teradata, Cloud Data Warehouses - Amazon Redshift, Google BigQuery, Azure Synapse, Data Formats - tables, JSON, XML, text, images, File Types - Excel, CSV, Parquet, Other Sources - Data lakes, SaaS applications.

Snowflake Migration Services

Accelerate your transition to Snowflake with confidence.

When your data lives in silos, it slows down decisions and creates uncertainty across teams. Migrating to Snowflake, you can bring everything together securely, efficiently, and in a way that aligns with your business operations.

We work with you to ensure your data warehouse is not merely migrated, but also optimized for performance and long-term value. Speak to our Snowflake experts to build a sustainable enterprise data strategy.

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110+

Projects Delivered

16+

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15+ yrs

Managed Services

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Trusted by Clients: Rated 4.9 Stars.

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Why Migrate to Snowflake?

By choosing Snowflake, you step onto a platform that scales, optimizes cost, enhances collaboration, and keeps your data accessible and secure, with minimal overhead.

Uncover the competitive edge of migrating to Snowflake.

Scalability

Snowflake’s architecture is built to scale as your data grows. You get the power to expand compute and storage independently, so your performance won’t suffer even during peak loads. Your queries run smoothly and deliver results in real-time.

Optimized and Justified Investment

With per-second billing and auto-suspend features, you pay strictly for what you consume. You can avoid wasted hardware investments and keep operating expenses tightly aligned to your actual workload.

Hands‑free Infrastructure Management

The platform takes infrastructure management off your plate. It can manage the hardware, allowing you to stop worrying about hardware upgrades, patches, or maintenance. Instead, your IT teams can build analytics, ML projects, and everything that matters for business growth.

Secure and Uninterrupted Data Sharing

Data doesn’t belong in silos. Snowflake provides a unified view of your business across departments and partners. You can share data across departments and partners without needing to copy or move data. Everyone works from the same live source, ensuring reliable collaboration and consistency across all projects.

Cloud‑Native Flexibility

Snowflake integrates smoothly with your modern architecture, including AWS, Azure, or Google Cloud Platform (GCP). It can also handle a diverse mix of data types, such as tables, JSON, and XML, from various sources.

Understand How Snowflake Works for Organizations

Snowflake Migration Services Resolve your Business Challenges

Legacy data systems have some limitations that hold your business back. They limit innovation, strain IT teams, and make modern analytics more challenging than it should be.

Moreover, manual fixes, scattered governance, and long migration timelines increase the burden.

You know that migrating legacy platforms to Snowflake promises agility. Yet, the path is often riddled with surprises. We help you break out of this cycle by leveraging proven frameworks, Snowflake-native practices, and automation at every level without the usual friction or uncertainty.

See how our Snowflake migration solutions solve your data system challenges:

Snowflake Infrastructure Automation and Management

Configuring servers and managing infrastructure manually can slow your progress before you even begin.

How we support:

Our Snowflake consultants automate your platform’s ecosystem from day one, eliminating infrastructure complexity and simplifying data operations. You get a clean, scalable foundation that frees your teams to focus on insights, not upkeep.

What we include:

Auto-managed compute and storage
Access controls, built-in security, and compliance
Zero-ETL collaboration through native Snowflake features

AI-Led SQL and App Logic Migration

SQL rewrites, app logic migration, and procedural conversions are prone to errors and slow without automation. They also raise risk and stall timelines.

How we support:

We apply SnowConvert and Snowpark Migration Accelerator to automate SQL and app logic conversions, reducing manual work and delivering accurate results, even in complex environments. Our AI-powered tools accelerate timelines and keep migration on track by regular performance tuning through automation.

You benefit from:

Automated code translation at scale
Simplified app logic porting
Pre-built playbooks for phased or full-scale rollouts

Unified Data Architecture and Management

When data lives in silos, insights slow down. Advanced analytics and real-time collaboration are often overlooked in legacy systems.

How we support:

We design Snowflake environments that bring everything together—data, apps, AI, and governance. Our architectures support modern patterns, such as lakehouses and data mesh, allowing you to scale smarter and unlock deeper value from your data.

We enable you to:

Eliminate silos with hybrid cloud patterns
Embed ML and Python workflows natively
Align business logic, security, and performance under one platform

Business-IT Alignment for Snowflake Migration

When IT and business teams work in isolation, migrations struggle with miscommunication and delays.

How we support:

We align technical and business stakeholders from the start. They co-own the journey through early stakeholder workshops and a clear RACI matrix. The RACI matrix provides clarity about who is Responsible, Accountable, Consulted, and Informed during each phase.

Our alignment approach includes:

Cross-functional planning workshops
Business-aligned goals and value metrics
Role clarity with RACI-led governance

Real-Time Dashboards and Metrics

Many migration efforts fail due to a lack of transparency.

How we support:

You stay in control with live project health insights. We deliver dashboards that track schema moves, ETL jobs, test statuses, and milestone progress, allowing both your technical teams and executives to see exactly where the migration stands.

You’ll have access to:

Object-level tracking for operations, loads, and schema movement
Live testing and validation insights
Milestone roll-ups for leadership and board-level reporting

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Aegis Softtech: Not Your Regular Migration Vendor

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100% In-house Snowflake Experts

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Cloud & On-Premise Migration

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15+ Years of Snowflake Expertise

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10+ Industries Served

Our Snowflake Cloud Migration Process: Best Practices

Through our migration process, we ensure your project stays on track and your enterprise achieves a seamless transition to the cloud platform.

Here’s how we approach it:

Assess and Inventory

We begin by identifying all your existing databases, ETL jobs, data assets, and table structures, categorizing each by business priority and technical function.

Map Dependencies and Resources

Before the move, we analyze all upstream and downstream dependencies and check infrastructure capacity, helping you avoid performance issues in storage, network, and compute environments.

Design Security and Access Controls

We help you redesign roles, implement secure SSO access, and configure data-level permissions to align with your governance and compliance goals.

Convert Legacy Code and Logic

Our team translates platform-specific scripts and procedures into Snowflake-compatible formats, ensuring that nothing breaks downstream.

Migrate and Ingest Data

We securely transfer your initial data sets to Snowflake, set up pipelines, and reconfigure your ETL/ELT processes using the best-fit ingestion tools and compression techniques.

Embed Integrity and Validation At Every Phase

Throughout historical loads, delta syncs, and cutovers, we build in validation rules to catch discrepancies early and preserve data fidelity.

Automate Transfers at Scale

Using Snowpipe and Snowflake’s native transfer services, we create a seamless, automated data flow that reduces manual errors and keeps your environment in sync.

Repoint Reporting And Analytics

We repoint and reconnect your dashboards, BI tools, and downstream consumers to work flawlessly with the new backend.

Data Validation and Testing

Next, we run side-by-side checks and performance tests so you can trust that everything matches your expectations. You’ll review test reports and sign off on each validation.

Deploy and Optimize

Once we have done the final dry run, we will move your operations to Snowflake with barely a few minutes of downtime. You will get real-time visibility throughout the switch, and our team will be right there to resolve any issues immediately.

Post-Migration Support

After everything is set and going live, we will help you fine-tune your queries, set up smart controls, and train your team to maximize the benefits of Snowflake. You will also receive regular performance reports.

Your Snowflake data migration needs expert hands.

Know How Aegis Softtech Can Help

Our Team

Yash Shah

Snowflake Implementation Consultant

Harsh Savani

Director & Head of Operations

Rajen Raiyarela

Delivery Head, Aligning Team-Outcomes

Our Engagement Models

Choose the model that best fits your migration scope, timelines, and delivery needs.

Fixed-Price Model

$2,800 per resource per month

Best suited for businesses with a clearly defined Snowflake migration scope.

You will work with a dedicated Snowflake developer/consultant, available across time zones, five days a week.

Time-Based Model

$20 per hour

Built for teams with evolving requirements or migration needs that need flexibility and quick turnarounds.

You only pay for the actual hours spent with developers available across time zones, five days a week.

Case Studies

Optimizing Snowflake Costs And Governance For A Global E-Commerce Enterprise

A global e-commerce company managing millions of daily transactions used Snowflake as its main data platform. While Snowflake helped them make smart data-driven decisions, their fast growth and poor resource management caused costs to spike. They needed a better way to cut expenses and tighten control over their data.

Read Detailed Case Study

Snowflake Data Warehouse Transformation for a Leading Retail Enterprise

A retail company operating worldwide depended on an old data warehouse to handle its data related to sales, inventory, and customers. This posed a challenge when the business started to grow. The client’s system couldn’t keep up, causing slow performance and higher maintenance expenses. They approached Aegis for an advanced data warehouse solutions.

Read Detailed Case Study

Data Warehouse Solutions for A Global Aviation Company

A global aviation company operates both commercial and cargo planes around the world. The company manages flight operations, logistics, maintenance, crew scheduling, and customer service. They have decided to implement a centralized data solution for operational efficiency, and safety and to give better experiences to their millions of customers.

Read Detailed Case Study

FAQ's

Not entirely. Snowflake won’t automatically migrate all your data and code, but it does offer helpful tools to simplify and speed up the process.

The types of data platforms we migrate to Snowflake are as follows:

Data Platforms	Examples
Legacy Databases	Oracle, SQL Server, Teradata
Cloud Data Warehouses	Amazon Redshift, Google BigQuery, Azure Synapse
Data Formats	tables, JSON, XML, text, images
File Types	Excel, CSV, Parquet
Other Sources	Data lakes, SaaS applications

Yes, we offer a comprehensive migration roadmap and strategy tailored to your specific requirements, ensuring a smooth and organized transition to the Snowflake cloud.

Yes. We handle both ways of migration to Snowflake.

Yes. As a reliable Snowflake migration company, we adhere to strict security protocols, encryption standards, and compliance frameworks to protect your data throughout the process.

Latest Insights

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Snowflake Security: Strengthen Your Data Protection

You’ve entrusted your most valuable asset—your data—to the cloud by embracing Snowflake’s unparalleled scalability and analytics.

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