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  • Faster Migration. Faster Value.

    Cut Migration Time by 60% through automation. Realize Value Faster. 

     

     

     

     

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  • Cut Data Platform Costs by 67%

    See a Global Manufacturer’s Seamless Migration from Informatica to Databricks.

     

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  • Data Platform Migration, Simplified

    Modernize legacy platforms with speed, scale, and confidence.

     

     

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Trusted By the Biggest Names

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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, 
Enterprise Data Platforms,
Leading Global Insurance Company 

 

 

 

 

 

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Why Migrate Your Data Platform Now?

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.

 

 
Empowering data and AI transformation with Azure, Power BI, and advanced cloud solutions.
 
Enabling modern data platforms and lakehouse architecture for agile analytics and AI/ML workloads.
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Driving scalable cloud data and analytics solutions with AWS infrastructure and managed services.
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Accelerating cloud adoption with BigQuery, Vertex AI, and scalable data engineering solutions.
KPI Partners Oracle-2-1
 
Providing enterprise BI and data integration solutions powered by Oracle’s analytics suite.
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Transforming how users interact with data through powerful visualization and dashboarding.
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Enhancing CRM insights with analytics-driven decision support on the Salesforce platform.

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 🔗

 

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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.

 

 

 

Explore Real-World
Data Platform Migration Case Studies

 


 

From Global Enterprises to Industry Leaders

Delivering Measurable Data Platform Modernization Results Across Industries

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Banking & Financial Services

Automated modernization of legacy data platforms to cloud and Lakehouse architectures, enabling faster analytics, lower operational costs, and improved regulatory confidence.

 

Read the Case Study

Semiconductor Industry

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.

 

Read the Case Study

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Manufacturing & Supply Chain

Modernized data pipelines and transformation logic to support scalable analytics, operational visibility, and future-ready data platforms across global operations.

 

 

 

Read the Case Study

Retail Industry

Retail & Consumer Goods

Discover how automation-first migration accelerates data platform modernization, preserving logic, ensuring accuracy, minimizing risk, and enabling faster business insights.

 

 

 

Read the Blog

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. 

BI Platform Migration

GenAI Accelerators

Databricks Accelerators

4 Infrastructure Optimizer
5 Databricks Unity Catalog Enablement
Description Text is Optional
6 Data Quality Validator for Databricks
Description Text is Optional

Snowflake Accelerators

2 Oracle / SQL Server to Snowflake Migration
3 Snowflake Cost Optimization App
4 Snowflake Security Automation App
5 Snowflake Data Governance App
Description Text is Optional
6 Data Quality Validator for Snowflake
Description Text is Optional

KPI Data Products on Any Cloud

Microsoft Fabric Migration Accelerators

1 EDW (Snowflake, Redshift, Oracle/ADWC, Teradata, and Netezza) to Microsoft Fabric Migration Accelerator

Google Accelerators

1 Marketing Analytics and AI/ML  for GA
2 Oracle to BigQuery Migration Utility
3 Snowflake to BigQuery Migration Utility
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