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Redefine what's
possible
Recognized for Excellence in Data and Analytics
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KPI Partners and Databricks provided the architectural clarity and technical guidance we needed to move forward with confidence.
Their support helped align all stakeholders on the go-forward design and accelerated the success of the project.
Director,
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Why Migrate Your Data Platform Now?
Risk & Cost
Reduce TCO by moving off costly legacy infrastructure, licenses, and maintenance models.
Speed & Control
Accelerate migration timelines with automation-driven conversion and validation.
Automate
Build a modern data foundation for cloud, Lakehouse, and AI use cases.
Modernization
Ensure stable, trusted outcomes with validated, production-ready data and code.
Your Data Platform Shouldn’t Slow You Down
We help enterprises modernize their core data foundation by migrating from legacy platforms to cloud and Lakehouse architectures such as Databricks, Snowflake, and Microsoft Fabric, using an automation-first, validation-led migration approach that reduces risk and rework.What this enables
- Automated conversion of SQL, ETL, and transformation logic
- Validation-driven migration to ensure data accuracy and code integrity
- Reduced reliance on manual re-engineering and prolonged testing
- Faster, lower-risk transitions to modern data platforms

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Any Source. Any Target.
Migrating and modernizing your enterprise data platform doesn’t need to be complex.
The Data Platform Migration Accelerator enables flexible migration from legacy and on-prem platforms to modern cloud and Lakehouse environments.
Built on automation with integrated validation, it reduces manual effort, preserves transformation logic, and delivers production-ready outcomes up to 5 times faster with lower costs and risk.
Migration Capabilities Built for Enterprise Data Platforms
Informatica to Snowflake Migration
Automates the migration of data structures, pipelines, and transformation logic into Snowflake’s cloud-native architecture.
Informatica-to-Databricks Migration
Converts Informatica ETL logic and mappings into Databricks-native workflows and notebooks, preserving the transformation logic.
Oracle to
Databricks
Supports the automated migration of Oracle-based data assets and logic into Databricks Lakehouse environments.
Oracle to
Snowflake
Facilitates the transition of Oracle data platforms to Snowflake, with a focus on structure, logic, and compatibility.
SQL Server to Databricks
Enables the migration of SQL Server–based data platforms to Databricks using an automation-driven approach.
SQL Server to Snowflake
Assists in migrating SQL Server data assets and transformations into Snowflake’s cloud data platform.
Snowflake to Databricks
Supports platform transitions and consolidation scenarios between Snowflake and Databricks environments.
‘Any Source to Any Target’ Migration
A flexible, platform-agnostic framework designed to automate data platform migration across a wide range of source and target environments.
Business Values of our Data Platform Migration Accelerator
5× Faster Migration Timelines
Cut migration cycles from months to weeks through automation-driven conversion and validation.
50–60% Lower Migration Cost
Reduce dependency on manual development, prolonged testing, and extended parallel runs.
Validated, Production-Ready Platforms
Ensure data accuracy, logic fidelity, and stability before go-live through automated validation.
Future-Ready Data Foundation
Enable modern analytics, AI, and evolving cloud architectures without the need for repeated rework.
Data Platform Migration for Modern Analytics
KPI DataBridge Suite is designed to help enterprises modernize their data and analytics infrastructure across:
BI Modernization 🔗
Data Platform Migration 🔗
Data Products 🔗

Our Methodology for Modern Data Platform Migration
Discover and Validate
Migration Readiness and Proof of Value
We assess your data platform, migration goals, and target architecture using GenAI-assisted analysis and expert review to identify complexity, risks, and automation potential- ensuring validated readiness and proof-of-value before scaling.
Convert, Review & Automate
Controlled, Automation-Driven Execution
Migration leverages GenAI-augmented automation for logic translation, testing, and discrepancy detection, with expert review ensuring accuracy, data integrity, performance, and compliance.
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Configure for your environment
Accelerator Setup and Target Alignment
The accelerator is configured based on your source platforms and target environment, with automation and validation aligned to your migration scope.
Scale with confidence
Production Readiness and Expansion
Validated migrations scale across the remaining scope, with optimized workloads, ownership transition, and readiness for ongoing growth.
From Global Enterprises to Industry Leaders
Delivering Measurable Data Platform Modernization Results Across Industries
Banking & Financial Services
Automated modernization of legacy data platforms to cloud and Lakehouse architectures, enabling faster analytics, lower operational costs, and improved regulatory confidence.
Semiconductor & High Tech
Accelerated large-scale data platform migration using automation and validation-led approaches, reducing manual effort while supporting complex, enterprise-wide analytics needs.
Manufacturing & Supply Chain
Modernized data pipelines and transformation logic to support scalable analytics, operational visibility, and future-ready data platforms across global operations.
Retail & Consumer Goods
Discover how automation-first migration accelerates data platform modernization, preserving logic, ensuring accuracy, minimizing risk, and enabling faster business insights.
Client Testimonials
“The data platform migration helped us modernize complex legacy ETL workflows with minimal disruption. The automation and validation capabilities significantly reduced migration timelines and risk.”
VP, Data Engineering
Global Supply Chain Enterprise
"KPI Partners helped us modernize faster and more confidently than we thought possible by delivering measurable savings and a scalable platform for the future."
Director, Data & Analytics
Global Semiconductor Enterprise
“We were able to migrate critical data workloads to a modern cloud platform faster than expected. The structured approach and built-in governance gave our teams confidence throughout the transition.”
Head of Data Platforms
Financial Services Company
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This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Accelerator FAQ - Data Platform Migration
How does the Data Platform Migration Accelerator help reduce migration risk and cost?
By automating the conversion of SQL, ETL, and transformation logic, and embedding automated validation loops, the accelerator minimizes manual rework and defect risk. This approach typically results in up to 5× faster migration timelines and significant cost savings compared to traditional manual rewrites and lengthy testing cycles, while ensuring a production-ready platform upon cutover.
Which source and target platforms does the accelerator support?
The accelerator supports any-to-any data platform migration, including common source platforms such as Oracle, SQL Server, Azure Synapse, and Informatica, as well as modern targets like Databricks, Snowflake, and Microsoft Fabric.
The approach is platform-agnostic and designed to handle heterogeneous enterprise environments.
How is this different from a traditional system integrator-led migration?
Traditional migrations rely heavily on manual rewrites, lengthy testing cycles, and a high dependency on custom development, which increases costs and risks.
KPI Partners’ approach is automation-first and validation-led, enabling:
- Faster migration timelines
- Lower migration costs
- Reduced defect rates
- Greater confidence before production cutover
This allows enterprises to modernize without disrupting business continuity.
How long does a typical data platform migration take?
Timelines vary based on complexity, scope, and platform mix. However, organizations using the Data Platform Migration Accelerator typically achieve migrations up to 5x faster compared to manual approaches.
A proof-of-value phase using representative workloads helps establish timelines early and reduces the risk of full-scale execution.
How do you ensure data accuracy and logic integrity during migration?
The accelerator utilizes automated data and code validation to ensure that migrated outputs accurately reflect the source behavior and business logic.
This validation-led approach significantly reduces defects, minimizes rework, and ensures the migrated platform is production-ready before go-live.
Can we start with a proof of concept before committing to a full migration?
Yes. Most engagements begin with a proof-of-value or pilot phase, using representative workloads to demonstrate automation outcomes, validate logic preservation, and align on migration strategy.
This approach helps stakeholders build confidence before scaling across the full migration scope.
Is the Data Platform Migration Accelerator a tool or a services-led offering?
It is a services-led accelerator, combining KPI Partners’ automation utilities, migration frameworks, and deep platform expertise.
This ensures enterprises get not just tools, but end-to-end accountability, from assessment through production readiness and scale.



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