Clearer Insights, Faster Innovation: TerraTrue is now an Official Databricks Partner

For modern enterprises, a data lake is core to the use of AI models and innovation. But as data environments grow more sophisticated to support AI, the gap between engineering speed and data security oversight often widens.

At TerraTrue, our vision has always been to close that gap by moving trust and data security into the heart of the development lifecycle.

Today, we are thrilled to announce that TerraTrue is officially a Databricks partner. By uniting Databricks’ data intelligence with TerraTrue’s proactive workflows, we are giving organizations a way to innovate at rapid speed without ever losing sight of their sensitive data. For our mutual customers, this means the end of manual data inventories and the beginning of automated, real-time data oversight.

Turning Passive Metadata into Proactive Action

While traditional catalogs are often passive "search and browse" tools, TerraTrue is built for action. This integration ensures that your trust and data security teams are no longer reacting to ad-hoc gaps.

By bringing this metadata into the TerraTrue ecosystem, your team can:

1. Gain Instant Visibility: Quickly identify what types of data are being stored where, including high-risk or sensitive information, to confirm it aligns with intended use cases.

2. Automate Data Mapping: Maintain a live, synchronized inventory of data schemas that updates automatically, replacing manual, "point-in-time" data inventories.

3. Validate Data Placement: Check the exposure of data across different environments. For example, verifying if specific sensitive data types are stored in their raw form in workspaces used for broad analytics.

4. Enable Self-Service Answers: Equip data security and privacy professionals with the ability to answer their own questions about data schemas, reducing the need for constant back-and-forth with data engineering.

One Bridge, Total Visibility: Data Source Federation

For organizations using Databricks Unity Catalog, the TerraTrue connector is a force multiplier. By utilizing Lakehouse Federation, Unity Catalog acts as a centralized metadata hub for your entire data estate, including external sources that are connected to Databricks like Snowflake, Azure SQL, and AWS Redshift.

By connecting TerraTrue to Unity Catalog, you gain visibility into every source managed by Databricks. This allows TerraTrue to absorb a unified stream of metadata, providing a single, comprehensive view of your data footprint across your entire organization without the need for dozens of individual connectors..

The TerraTrue Difference: Innovation-Led Launch Triggers

The real magic happens when you pair the Databricks connector with Launch Triggers. This is where metadata becomes pro-active intelligence..

TerraTrue goes beyond simply showing you what data exists: it actively monitors changes. When our platform detects a specific change, such as the appearance of a new sensitive data type or the appearance of existing data in a new table, TerraTrue can automatically initiate a review process.

This helps teams catch potential gaps early.

For instance, you can automatically detect the first time a known data type, like fine-grained location data or financial records, appears in Databricks, ensuring the right safeguards are in place from day one. It also keeps pace with evolving product needs – as fast-moving teams create new clusters or stand up new services, Launch Triggers can ensure that data remains managed and understood, even in complex and rapidly shifting environments.

Extending Trust to AI: MLflow Integration

As Databricks continues to unify its ecosystem, MLflow has moved into Unity Catalog, creating a single governance layer for both data and AI models. TerraTrue is keeping pace by extending our visibility into this AI layer.

Ingest AI and ML Data Sources: With the ability to ingest MLflow metadata, TerraTrue’s Data Catalog offers unmatched visibility into your AI and ML ecosystem. You can now track not just where your data lives, but how it is being transformed into models.

Improve Data Governance for AI: Similar to how we classify metadata from persistent storage via Unity Catalog, we can now effectively govern and classify the data types used as inputs for AI and ML models. This ensures that sensitive data and PII is being handled according to policy throughout the entire training and deployment pipeline, significantly enhancing data privacy and compliance.

Building for the Future

Becoming an official Databricks partner is more than just a badge. It is a commitment to ensuring that as your data ecosystem grows, your security oversight stays just as fast. By uniting the power of Databricks Unity Catalog with TerraTrue’s customizable privacy and security reviews, we are helping you innovate with a clearer picture of your data than ever before.

As Unity Catalog continues to mature, we are looking toward a future where data governance is fully contextualized through Data Lineage and Observability. For privacy and security teams, the most critical questions are often the most difficult to answer: Where does PII enter the system? How is it transformed? And where does it ultimately end up? We plan to incorporate this deep lineage information directly into TerraTrue reviews, making them more intelligent, richer, and more deeply integrated into your overall governance strategy. By understanding the full lifecycle of a data element, we ensure that as data flows through your pipelines, your security posture moves with it.

Contact us today for a demo of our Databricks and MLflow integrations, and discover how we can help you build a more transparent and secure data future.