CData Launches Databricks Integration Accelerator to Simplify and Accelerate Enterprise Data Integration

Purpose-built solution reduces data pipeline complexity and accelerates integration across hybrid and multi-cloud Databricks environments

CHAPEL HILL, N.C., June 11, 2025 /PRNewswire/ -- CData Software, a leading provider of data connectivity and integration solutions, today announced the launch of the CData Databricks Integration Accelerator, a new solution purpose-built to simplify and expedite enterprise data integration for Databricks environments. By eliminating traditional bottlenecks in data pipeline development, the Accelerator can reduce integration timelines by as much as 90%, helping organizations unlock insights faster and fully realize the potential of their Databricks Lakehouse investments.

The Databricks Lakehouse Platform combines data warehousing and AI with a unified architecture that supports real-time analytics and machine learning workflows. Yet, many enterprises encounter friction when integrating data from disparate systems due to the fragmented nature of legacy ETL tools and the need to support hybrid environments, including on-premises infrastructure and multi-cloud deployments. The CData Databricks Integration Accelerator mitigates these challenges by offering a no-code framework for building scalable ingestion pipelines, simplifying transformation tasks, and ensuring compliance with data governance standards like Unity Catalog.

"Integrating enterprise data into Databricks often requires extensive custom code and manual configuration, which can introduce delays and increase maintenance overhead," said Manish Patel, Chief Product Officer at CData. "Our Integration Accelerator eliminates those inefficiencies by providing prebuilt connectors, automated pipeline orchestration, and real-time data availability, enabling teams to operationalize data faster and focus on driving value through analytics and AI."

Overview of Databricks Solution Toolkits

The CData Databricks Integration Accelerator includes four purpose-built toolkits designed to enhance data integration capabilities:

• Delta Lake Integration Toolkit: Enable no-code data ingestion into Delta Lake with Change Data Capture (CDC) from over 270 sources. This toolkit also facilitates live data access into sales, marketing, financial, and other business systems via Databricks Lakehouse Federation, ensuring full governance through Unity Catalog.
• Delta Live Tables (DLT) Extension Toolkit: Expand DLT connectivity to all business applications, providing a unified SQL data model via Databricks Spark for simplified integration. The toolkit includes out-of-the-box authentication and pagination support for any API, along with server-side pushdown for optimal performance.
• Databricks-Microsoft Connectivity Toolkit: Leverage standards-based connectivity between Databricks and Microsoft ecosystems, enabling native integration capabilities with SSAS, SSRS, SSIS, and more.  The toolkit ensures performant live connectivity into Databricks from any application while maintaining complete Unity Catalog compatibility.
• Agentic Data Pipelines Toolkit: Supercharge agentic workloads with CData's automated data ingestion capabilities, enabling true programmatic ingest into serverless PostgreSQL, fully compatible with Databricks serverless Postgres deployments. The toolkit provides instant data availability for AI agents with automated pipelines from any enterprise data source into Databricks serverless Postgres, programmatic orchestration to build and modify data pipelines via code, and real-time processing to integrate data from any source on-the-fly with CDC.

"Everyone needs a good way to load data into their data lake," said Eric Newcomer, CTO and Principal Analyst, Intellyx. "CData has been developing and delivering a broad and deep set of data connectors for more than a decade. Now, Databricks users can leverage not only the proven CData suite of connectors, but also the integration toolkits built on top of them, including SQL data models, Microsoft-specific connections, and MCP servers for AI agent automations."

Customer Success: NJM Insurance

NJM Insurance, a leading provider of personal and commercial insurance, leveraged the CData Databricks Integration Accelerator to transform their marketing analytics. By replacing code-intensive ETL processes with CData's no-code solution, NJM reduced integration build time by 90% and saved 66% on project costs. This enabled faster insights into customer acquisition costs and lifetime value, driving better decision-making across the organization. "With CData, we were able to ingest our marketing data into Databricks 10 times faster, allowing us to make data-driven decisions more quickly," said Ameya Narvekar, Data Insights Supervisor at NJM Insurance.

For more information about the CData Databricks Integration Accelerator, visit www.cdata.com/solutions/databricks.

About CData Software

CData Software is a leading provider of data access and connectivity solutions. Our self-service data products and connectivity solutions provide universal access to live data from hundreds of popular on-premises and cloud applications. Millions of users worldwide rely on CData to enable advanced analytics, boost cloud adoption, and create a more connected business. Consumable by any user, accessible within any application, and built for all enterprises, CData is redefining data-driven business. Learn more at www.cdata.com or reach a representative via email at [email protected].

SOURCE CData Software