CData's inclusion in the 2025 report underscores the growing recognition of our innovative solutions and our ability to address the evolving demands of modern data integration.

Palantir Technologies has expanded its relationship with CData's Embedded business unit to enhance data connectivity in Palantir Foundry, enabling users to connect to hundreds of data sources through CData's embedded connectors.

Sign up for our limited series covering useful prompts, tips, and future CData MCP releases that will make Claude your undisputed work bestie.

CData's Connect AI platform brings MCP connectivity to Microsoft Copilot Studio and Microsoft Agent 365.

CData's developer community connects thousands of data professionals who share solutions, best practices, and expertise for integrating enterprise data sources through collaborative forums and comprehensive resources.

State of AI Data Connectivity Report: 2026 Outlook Based on research with 200+ data & AI leaders and insights from AI pioneers at Microsoft and AWS, this report is the first to examine how data integration maturity drives AI success.

Join data leaders, AI innovators, and CData experts to explore the future of enterprise data infrastructure. Discover how to build AI-ready foundations, deploy intelligent agents, and transform your organization's data strategy.

CData's inclusion in the 2025 report underscores the growing recognition of our innovative solutions and our ability to address the evolving demands of modern data integration.

Sign up for our limited series covering useful prompts, tips, and future CData MCP releases that will make Claude your undisputed work bestie.

CData's Connect AI platform brings MCP connectivity to Microsoft Copilot Studio and Microsoft Agent 365.

DB2 for i to Microsoft Azure Tables Data Integration

The leading hybrid-cloud solution for Microsoft Azure Tables integration. Automated continuous ETL/ELT data replication from DB2 for i to Microsoft Azure Tables.

Whether you're managing operational reporting, connecting data for analytics, or ensuring disaster recovery, CData Sync's no-code approach to data integration simplifies the process of putting DB2 for i data to work.

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DB2 for i:

Microsoft Azure Tables:
Microsoft Azure Tables is a NoSQL data storage service that allows users to store structured data in the cloud. It offers high availability, scalability, and low latency for applications that require fast access to large amounts of data. Azure Tables is a cost-effective solution for storing and querying data at scale.

Integrate DB2 for i and Microsoft Azure Tables with CData Sync

CData Sync provides a straightforward way to continuously pipeline your DB2 for i data to any database, data lake, or data warehouse, making it easily available to analytics, reporting, AI, and machine learning.

Synchronize data with a wide range of traditional and emerging databases including Microsoft Azure Tables.
Replicate DB2 for i data to database's and data warehouse systems to facilitate operational reporting, BI, and analytics.
Offload queries from DB2 for i to reduce load and increase performance.
Connect DB2 for i to business analytics for BI and decision support.
Archive DB2 for i data for disaster recovery.

Integrate DB2 for i with Microsoft Azure Tables

Screenshot showing connections to services selected as destination in CData Sync

DB2 for i Data Integration Features

Simple no-code DB2 for i data integration

Ditch the code and complex setups to move more data in less time. Connect DB2 for i to any destination with drag-and-drop ease.

Hassle-free data pipelines in minutes

Incremental updates and automatic schema replication eliminate the headaches of DB2 for i data integration, ensuring Microsoft Azure Tables always has the latest data.

Don't pay for every row

Replicate all the data that matters with predictable, transparent pricing. Unlimited replication between DB2 for i and Microsoft Azure Tables.

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Other DB2 for i Data Integration Tools

Easily create data pipelines that integrate and replicate data from DB2 for i to any supported data store, including:

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CData is the data layer that makes AI work in production—live connectivity and replication across hundreds of the most critical enterprise sources, semantic context, and built-in governance. Powering AI for Databricks, Microsoft, Google, Palantir, and 10,000+ customers worldwide.