JavaScript Required

We can't work properly without JavaScript Enabled.

Data warehouse representing Aegis Softtech’s data warehouse migration services

Data Warehouse Migration Services

Modernize your analytics foundation with a secure, low-risk migration.

Your legacy data warehouse may be holding back your analytics potential. Don’t let slow queries and outdated architecture limit your decision-making speed and scalability. With Aegis Softtech’s data warehouse migration services, you can shift from legacy, on-premise, or siloed systems to a modern, cloud-native data warehouse.

120+

Projects Delivered

18+

Data Warehouse Experts

15+ yrs

Managed Services

Excellent

Trusted by Clients: Rated 4.9 Stars.
Consult with Experts
Data warehouse migration consultant offering expert guidance
captcha
Trusted by Global Enterprises Across Industries
Aegis Softtech Client Reliance
Aegis Softtech Client Tata Consulting Services
Aegis Softtech Client Zydus
Aegis Softtech Client Sterling Hospitals
Aegis Softtech Client Nirma
Aegis Softtech Client Ajio
Aegis Softtech Client efacec

Awards and Appreciation

Clutch Badge SuperbCompanies Badge Goodfirms Badge Crunchbase Badge TQV Badge

Who Needs Data Warehouse Migration?

Data warehousing is a business advantage, and migration can prove a more cost-effective and streamlined way of staying ahead of your competitors.

If you’re experiencing any of these challenges, it’s time to consider migration:

Data warehouse and business team representing challenges that indicate the need for data warehouse migration
  • Reporting cycles are taking hours instead of minutes
  • Infrastructure costs are skyrocketing due to unpredictable maintenance overheads
  • Data is stored across multiple systems, creating silos and inconsistencies
  • Difficulty scaling storage and compute resources as data grows
  • Limited integration with modern analytics or AI tools

Our team specializes in data migration for enterprises to move from a costly, rigid legacy data warehouse to a cloud data warehouse—uninterrupted, secure, and with business continuity in mind.

Let’s assess if migration is right for your business.
Data warehouse migration consultant reviewing system dashboards during readiness assessment

We Help You Choose the Right Migration Type by Approach

Each migration type offers distinct advantages depending on your goals. Our consultants help you choose the path that balances speed, cost, and modernization.

Migrate your existing data and workloads to the cloud with minimal or no modifications. It is the fastest way to exit your legacy system and reduce infrastructure dependency.

We keep much of your core architecture intact while leveraging specific cloud capabilities. It’s suitable for enterprises seeking incremental improvements without a full-scale redesign, offering speed and optimization.

In this approach, your entire data ecosystem is redesigned from the ground up to benefit from the cloud platforms’ elasticity, scalability, and advanced features. We modernize your schemas and integrate real-time streaming and AI/ML capabilities.

We carefully assess your existing systems to determine which workloads migrate to the cloud, which should be retired, and which must be retained.

Our team brings you the expertise of migrating from various legacy enterprise data warehouses and analytics systems, including:

  • Teradata
  • Netezza
  • Oracle Exadata
  • SQL Server/SSAS
  • SAP BW/HANA
  • Hadoop ecosystems (Cloudera, Hortonworks, MapR)
  • On-premises enterprise data warehouses & custom-built platforms

Each source system has its own challenges, whether it’s proprietary SQL, legacy ETL jobs, or complex schemas.

Our accelerators help automate and simplify the transition.

Our Data Warehouse Migration Strategy

So, we have established that our data warehouse migration services support your transition from legacy systems to modern, cloud-native architectures.

But what strategies do we adopt to bring the desired results?

One of the major decisions lies in whether to convert your existing pipelines/code or rebuild them from scratch. The right strategy—convert or rebuild—depends on your performance goals and time-to-value expectations.

Here’s how we decide what’s best for your business:

Automatic/Tool-Assisted Conversion

If you have many pipelines to migrate and want to preserve as much of the current logic as possible, then it’s the better option. Some tools or accelerators can help translate SQL dialects, adapt ETL workflows, or convert code or metadata definitions.

Rebuild/Rewrite Pipelines

Rebuild is better when logic is complex, legacy, inefficient, or utilises non-portable components (UDFs, obscure dependencies). It enables the usage of Databricks-native features, including Delta Lake, Auto Loader, structured streaming, and Databricks SQL for cleaner, more maintainable pipelines.

With the right approach to data warehouse services, Aegis Softtech helps you make this choice with full visibility into trade-offs.
Data warehouse services consultant providing guidance for requesting a service quote

Why Choose Aegis Softtech as Your Data Warehouse Migration Company?

Whether you're moving from on-premise to Snowflake, Redshift, or BigQuery, our migration approach ensures minimal disruption and maximum performance. Choosing the right data migration partner solidifies the success of your transformation.

Our core intent of data migration is built around four principles that ensure reliability and measurable value.

Talk to our certified data warehouse consultants for a better understanding of our migration approach.
Certified data warehouse consultant offering expert guidance on migration approach

The Tech Stack Behind Our Data Warehouse Migration Solutions

From cloud platforms to integration frameworks, our technology choices deliver measurable outcomes for you.

Our expertise spans across leading data ecosystems and tooling environments for fast migration and long-term scalability.

Apache NiFi ETL tool logo
Apache Nifi
Apache Kafka logo for stream processing and data pipelines
Apache Kafka
Fivetran data integration and ETL tool logo
Fivetran
Talend ETL and data integration platform logo
Talend
Informatica PowerCenter enterprise ETL tool logo
Informatica PowerCenter
Microsoft SSIS SQL Server Integration Services logo
Microsoft SSIS
Amazon Redshift cloud data warehouse platform logo
Amazon Redshift
Snowflake cloud data warehouse and analytics platform logo
Snowflake
Teradata Vantage analytics and enterprise data platform logo
Teradata Vantage
Google BigQuery cloud data warehouse platform logo
Google BigQuery
Microsoft Azure Synapse Analytics unified data and warehousing platform logo
Azure Synapse
Databricks Lakehouse unified data and analytics platform logo
Databricks Lakehouse
Teradata enterprise data warehouse and database platform logo
Teradata
Oracle relational database management system logo
Oracle
IBM Netezza data warehouse and analytics appliance logo
Netezza
IBM Db2 relational database management system logo
IBM Db2
Microsoft SQL Server relational database platform logo
SQL Server

Primary ETL/ELT Tools & Existing Landscape

Before migration, we understand your current ecosystem to suggest the best-fit approach.

The most common tools we suggest to our clients are:

ToolsCategoryUsage
Informatica, Talend, SSISTraditional enterprise ETL toolsOften used with GUI workflows, connectors, transformation logic, etc.
Matillion, Fivetran, AirbyteCloud-native/modern toolsOften used for simpler ingestion, prebuilt connectors, and more automated pipelines.
PySpark, ScalaCustom Spark jobs or code-based pipelinesCommon for large transformations, custom logic, batch, or streaming.

When you hire our data warehouse developers, they custom-pick the toolset so you can maintain data consistency and reduce post-migration tuning time.

Our Migration Approach: Phases We Undertake

Our team follows a time-tested, de-risked migration methodology designed for speed, accuracy, and zero data loss.

Examples from the Field: Use Cases We Deliver

Your organization’s data journey is unique, but the challenges faced are often the same. Hence, before migrating your data warehouse, it is helpful to know the possibilities.

Here’s how we’ve solved common migration challenges for global enterprises, and can do so for you, too.

Hive or HiveQL migration icon representing migration of Hive workloads

Migrating from Hive or HiveQL

We moved many Hive workloads to Databricks with minimal refactoring. We achieved it by changing SerDe, file formats, or partitioning rather than full rewrites.

Icon representing SQL pipelines migration from enterprise data warehouses

SQL Pipelines from Enterprise Warehouses

Our team chooses a light conversion for pipelines that are largely SQL, only including setting up data access or adapting syntax.

Apache Spark icon representing custom Spark jobs and workload migration

Custom Spark Jobs

We implemented adaptations, such as using Databricks Runtime and optimizing for Databricks cluster architecture for custom Spark jobs. Our team reused some parts while rewriting others, depending on the custom logic.

Want to map your tech landscape for data migration?
Our data migration experts have your back. Let’s discuss your concerns.
Data migration consultant reviewing system dashboards during a technical consultation

Our Team

Nikul Patel - Data Warehouse Consultant
Nikul Patel

Data Warehouse Consultant

Harsh Savani - Director & Head of Operations
Harsh Savani

Director & Head of Operations

Rajen Raiyarela - Delivery Head, Aligning Team-Outcomes
Rajen Raiyarela

Delivery Head, Aligning Team-Outcomes

Our Engagement Models

When engaging with customers, Aegis Softtech offers multiple pricing and engagement approaches tailored to the nature, complexity, scope, and risk profile of each project.

The goal is to align commercial terms with client expectations and business outcomes.

Fixed-Price (Scope-Limited) Model

It offers a well-defined scope, timeline, and deliverables, all of which are agreed upon upfront, and the price is fixed accordingly. It’s best suited for short-term projects with clear requirements, well-documented migration tasks or repeatable implementations.

Time & Materials (T&M) Model

You pay based on the actual effort spent, which involves hourly/daily/monthly rates for consultants, engineers, and architects. It’s best for complex, evolving, or exploratory projects or scenarios where requirements are dynamic or not fully defined upfront.

Outcome-Based (SLA-Tied) Model

Pricing is linked to achieving stated business outcomes or service level targets, such as a set percentage of migration success, system uptime, or performance SLAs. It’s best for long-term partnerships where measurable outcomes are critical or clients who prefer to pay for results rather than effort.

Proof of Concept (PoC) Pricing

Chosen for a small-scale pilot engagement at a lower cost or fixed minimal pricing to validate feasibility before a full rollout. It’s suitable for those trying new technology adoption (e.g., Databricks migration pilot, Snowflake PoC) or seeking to validate ROI or technical compatibility before committing.

We believe in transparent pricing that aligns effort with measurable outcomes.
Data migration consultant providing guidance on transparent pricing and project proposals

FAQs

Cloud-native data warehouse migration is the process of migrating your workloads and data from a traditional, on-premises data warehouse to a modern, cloud-based DWH designed to run on cloud infrastructure. It encompasses re-architecting the system to modernize and leverage cloud advantages, such as scalability and flexibility, by decoupling storage and compute.

Deciding between rehost, replatform, and refactor migration depends on your organization’s priorities for budget, speed, long-term benefits, and modernization.

Rehost is the fastest and most budget-friendly option if the application can be moved with minimal changes. Replatform helps maintain speed with minor data warehouse modernization without a full rewrite. Refactoring involves extensive code changes and is thus best when the goal is significant innovation and agility for the long term.

Hiring professionals for data warehouse migration is imperative for ensuring data integrity, mitigating risks, minimizing downtime, and cost and time efficiency.

The four main types of data migration are:

  • Storage migration: Moving data from one storage system to another for faster and more reliable performance.
  • Database migration: Transferring a database from one platform to another to upgrade the database or consolidate data.
  • Application migration: Moving data from one application to another or from one environment to a different one, especially when updating software.
  • Cloud migration: Moving data from on-premises systems to a cloud-based infrastructure or from one cloud provider to another.

The duration of a data warehouse migration can vary significantly depending on factors such as data volume, target platform, modernization level, and source complexity. We do offer a one-size-fits-all estimate and instead begin every engagement with a readiness assessment, scoping your workloads, and identifying dependencies.

We anticipate and mitigate the key issues commonly arising during migration. Some of which include:

  • Data loss or corruption
  • Unplanned downtime
  • Performance degradation
  • Security and compliance risks
  • Scope and cost overruns
Latest Insights

Considering the sheer amount of unstructured data being generated on an everyday basis, organizations ought to be drowning in it. However, this volume still does not guarantee them insights because just collecting it is no longer enough.

In the light of a data-driven world today, organizations now depend more on complex data architectures that can store, manage, and analyze significant volumes of data. Two of the most popular approaches are Data Lakehouse and Traditional Data Warehousing.