Ataccama joins Databricks Marketplace with MCP Server

Ataccama has joined the Databricks Marketplace with an integration for its MCP Server, linking its data trust tools with the Databricks platform.

The integration brings data quality, lineage and governance signals from source systems into Databricks. It covers enterprise environments including SAP, Oracle and mainframe systems, making metadata and quality context available to Databricks pipelines, workflows and AI tools through Ataccama's MCP Trust Layer.

The announcement reflects a wider push by software suppliers to address concerns over the reliability of data used in artificial intelligence. Companies building AI applications on consolidated data platforms face pressure to show where data came from, how it has been governed and whether it is fit for use, particularly in regulated settings.

The marketplace listing gives Databricks users access to trust signals for AI agents, analysts and data teams. These include business glossary terms, catalogue metadata, quality scores, monitoring results and anomaly indicators tied to data assets.

Native checks

Part of the integration centres on running quality checks directly on Databricks compute. Ataccama says its software translates data quality rules into SQL and executes them through Spark pushdown on Databricks clusters, rather than moving data into another processing environment.

This approach allows business users to define rules without writing code while handling very large data volumes for analytics and AI workloads. Quality gates can also be applied inside Databricks Lakeflow and DLT pipelines, so data is evaluated at set checkpoints before moving to the next stage.

Records that fail thresholds can be flagged, quarantined or rerouted for remediation. Rules and thresholds are defined in Ataccama ONE and enforced across pipelines, with changes applied without code updates.

Lineage focus

Another part of the tie-up is a broader audit trail across systems. Ataccama says it can scan source systems and capture lineage from Oracle, SAP, mainframes and other environments through Databricks to business intelligence reports and regulatory outputs, with quality scores recorded at each step.

This is aimed at companies that need oversight beyond a single platform, especially where data moves across legacy systems, cloud tools and reporting environments. Governance and metadata management can also be extended across Databricks and upstream systems through more than 200 connectors, including links to dbt and AWS Glue.

Jay Limburn, Chief Product Officer at Ataccama, said trust would shape the next stage of AI adoption in large organisations.

"The next phase of enterprise AI will be defined by trust," said Jay Limburn, Chief Product Officer at Ataccama. "The organizations that succeed with AI will be the ones that can understand, govern, and stand behind the data informing every decision. By bringing trusted data context directly into Databricks via Databricks Marketplace, we're helping customers build the confidence needed to scale AI from promising pilots to business-critical outcomes."

Databricks framed the addition as part of broader customer demand for easier access to data and AI assets across organisations and partner ecosystems.

"Customers consistently ask us for easier, more secure ways to discover, access, and share data and AI assets across their organizations and ecosystems," said Stephen Orban, SVP, Product Ecosystem & Partnerships at Databricks. "By bringing Ataccama ONE to the Databricks Marketplace, we're helping our joint customers accelerate innovation and unlock more value from their data on an open, governed platform."

The integration highlights how marketplace channels are becoming a route for specialist data management suppliers to reach users of major cloud data platforms. For vendors such as Ataccama, the challenge is to show that data governance and quality controls can sit close enough to AI development workflows to influence model and agent behaviour before flawed data produces unreliable results.

Ataccama says the integration is available now through the Databricks Marketplace.