CData launches accelerator to simplify Databricks integration

CData Software has introduced a new integration accelerator designed to simplify and speed up enterprise data integration for organisations utilising Databricks environments.
The CData Databricks Integration Accelerator aims to eliminate traditional data pipeline bottlenecks and shorten integration timelines, enabling companies to make more efficient use of their Databricks Lakehouse investments. Databricks Lakehouse Platform combines data warehousing and artificial intelligence with a unified system for real-time analytics and machine learning. However, integrating data from varied systems can be problematic for enterprises, particularly due to fragmented legacy ETL tools and hybrid environments spanning on-premises and multi-cloud infrastructure.
The new accelerator addresses these issues by providing a no-code framework for building scalable ingestion pipelines. It is also designed to simplify transformation tasks and support compliance with data governance frameworks such as Unity Catalogue. "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 operationalise data faster and focus on driving value through analytics and AI."
The CData Databricks Integration Accelerator is built around four toolkits, each designed to address specific integration challenges.
Delta Lake integration
The Delta Lake Integration Toolkit allows organisations to ingest data using a no-code approach and supports Change Data Capture (CDC) from over 270 sources. The toolkit provides live data access to business systems — including sales, marketing and finance — using Databricks Lakehouse Federation, while supporting governance through Unity Catalogue.
Delta Live Tables
The Delta Live Tables (DLT) Extension Toolkit expands connectivity to a broader range of business applications, creating a unified SQL data model via Databricks Spark for straightforward data integration. This toolkit also offers authentication and pagination support for any application programming interface (API), as well as server-side pushdown to improve speed and efficiency.
Databricks-Microsoft connectivity
With the Databricks-Microsoft Connectivity Toolkit, users can establish standards-based connections between Databricks and the Microsoft software ecosystem. This supports direct integration with products such as SSAS, SSRS and SSIS, maintaining live data connections and Unity Catalogue compatibility.
Agentic data pipelines
The Agentic Data Pipelines Toolkit focuses on automating data ingestion for agentic workloads, offering programmatic access to serverless PostgreSQL compatible with Databricks serverless deployments. The toolkit enables the instant availability of enterprise data for use by AI agents, provides programmatic orchestration of data pipelines, and processes real-time data from any source using Change Data Capture (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 deployment and outcomes
NJM Insurance, a provider of personal and commercial insurance policies, has deployed CData's Databricks Integration Accelerator to overhaul its marketing analytics operations. The company reported a 90% reduction in integration build time and saved 66% in project costs by replacing traditional, code-heavy ETL processes with CData's no-code solution. This allowed for quicker insight generation on customer acquisition and lifetime value. "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.
The CData Databricks Integration Accelerator is now available for organisations seeking to reduce the time and complexity associated with enterprise data integration projects.
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