Accelerate Enterprise Transformation — into Microsoft’s Intelligent Data Ecosystem

DataSwitch enables enterprises to modernize legacy ETL, analytics, and warehouse environments into scalable Microsoft-native data platforms (Fabric, Synapse, and ADLS Gen2) through deterministic AI-led engineering automation.

86%

Average Automation Rate

65%

Avg Cost Reduction Achieved

30,000+

Objects Modernized Across Microsoft Ecosystem

23+

Successful Implementations on Microsoft

Available on
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AWS
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Azure
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Google Cloud

Scalable Native Performance

DataSwitch transforms enterprise ETL systems, SQL estates, and warehouse-centric workloads into intelligent Microsoft-native architectures optimized for scalability, governance, and cloud performance.

Deterministic AI Automation

Leveraging deterministic Agentic AI automation, the platform accelerates modernization into modern Microsoft analytics and Lakehouse ecosystems while reducing engineering complexity and delivery timelines.

Unified Lakehouse Transition

The platform also enables enterprises to transition from fragmented legacy ecosystems into unified Microsoft-native Lakehouse architectures powered by Fabric, Synapse, and ADLS Gen2 — supporting an end-to-end modernization strategy across ingestion, orchestration, transformation, and analytics consumption layers.

Bring Any Enterprise Data Landscape into Microsoft-Native Architectures

Go beyond legacy migration tools. With GenAI-led automation and graph-based engineering, DataSwitch accelerates transformation into unified Microsoft-native Lakehouse architectures delivering high-quality Microsoft-ready code faster—reducing manual effort by up to 95%.

Data Platforms
Source DB Reader
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netezza logo
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mysql logo
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db2 logo
greenplum logo
saphana logo
synapse logo
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Microsoft Fabric
ETL tools
Source ETL Reader, Scheduler
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talend logo
ssis logo
datastage logo
sapbods logo
informatica_idmc logo
autosys logo
palantir logo
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abinitio logo
sapbw logo
uc4 logo
odi logo
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Automate Your End-to-End Transformation to Microsoft

DataSwitch handles every phase of your Microsoft transformation — from legacy code discovery and assessment to automated conversion, validation, optimization, and production deployment — powered by DataSwitch's Agentic AI automation for high efficiency, speed, and accuracy.

Discover

Gain deep visibility into legacy ETL pipelines, SQL transformations, warehouse dependencies, schemas, and orchestration workflows through intelligent assessment and modernization analysis.

Re-Engineer

DS Migrate intelligently converts legacy workloads into Microsoft-native pipelines, Fabric workloads, Synapse transformations, and Lakehouse-ready architectures using deterministic AI-powered engineering frameworks.

Validate & Operationalize

Automatically validate generated assets, resolve transformation inconsistencies, optimize orchestration logic, and accelerate deployment readiness with built-in governance and quality assurance capabilities.

Key Enablement Areas

Accelerating transformation across modern Microsoft analytics and Lakehouse ecosystems.

Lakehouse Architecture Modernization
Fabric Workspace Transformation
Unified Analytics Enablement
Cloud-Native Pipeline Engineering
Enterprise Data Governance
Cross-Platform Workload Consolidation

Frequently Asked Questions

DataSwitch enables enterprises to modernize legacy ETL systems, SQL estates, and warehouse-centric workloads into scalable, Microsoft-native data platforms (including Microsoft Fabric, Azure Synapse, and Azure Data Lake Storage Gen2 / ADLS Gen2). Powered by deterministic, Agentic AI-led engineering automation, the platform reduces technical complexity and shortens delivery timelines while ensuring strict compliance, governance, and scalable performance.
DataSwitch enterprise implementations deliver an 86% average code automation rate alongside a 65% average operational cost reduction. Across more than 23 successful implementations on the Microsoft ecosystem, the platform has automated the refactoring and modernization of over 30,000 legacy data objects into Microsoft-native data architectures.
Traditional legacy migration tools rely on manual, rule-based rewriting. DataSwitch goes beyond standard tools by leveraging GenAI-led automation and graph-based engineering to automatically compile high-quality, Microsoft-ready code faster, reducing manual remediation efforts by up to 95% and facilitating seamless transition from fragmented legacy setups into unified Lakehouse architectures.
The lifecycle is systematically executed through three automated phases: 1. Discover (gaining deep visibility into legacy ETL pipelines, SQL transformations, warehouse dependencies, and orchestration workflows through intelligent assessment); 2. Re-Engineer (using deterministic frameworks to intelligently convert legacy workloads into Microsoft-native pipelines, Fabric workloads, Synapse transformations, and Lakehouse-ready models); and 3. Validate & Operationalize (automatically validating assets, resolving inconsistencies, optimizing orchestration logic, and accelerating deployment readiness with built-in quality assurance).
The platform's source DB readers ingest metadata from systems including Teradata, Netezza, Oracle, MySQL, SQL Server, IBM DB2, Greenplum, SAP HANA, Azure Synapse Analytics, Hive, and Sybase IQ. Simultaneously, its source ETL readers parse and translate logic from Informatica PowerCenter (9.6+), Talend, Microsoft SSIS, IBM DataStage, SAP BODS, Informatica IDMC, Autosys, Palantir, Microsoft Fabric, Ab Initio, SAP BW, UC4, Oracle ODI, and Oracle Middleware.
DataSwitch accelerates modern Microsoft analytics and Lakehouse deployments across six standardized vectors: Lakehouse Architecture Modernization, Fabric Workspace Transformation, Unified Analytics Enablement, Cloud-Native Pipeline Engineering, Enterprise Data Governance, and Cross-Platform Workload Consolidation.

Ready to Modernize into Microsoft?

Tell us about your modernization journey — we’ll assess your legacy ETL and SQL ecosystem, estimate automation potential, and define a realistic transformation roadmap into Microsoft's data ecosystem. No obligation.