Data Control, Without Compromise: Label Studio Enterprise + Databricks
HumanSignal Team
Enterprises run on data, but making that data usable for machine learning requires annotation. Until now, teams working in Databricks faced a painful tradeoff: either export sensitive data out of their governed environment for annotation, or slow projects down with manual workarounds.
Label Studio Enterprise now integrates directly with Databricks. It’s part of a broader set of secure enterprise connectors, including Amazon S3, Azure Blob Storage, Google Cloud Storage, and more, that are designed to respect your compliance requirements. Unlike the open source and Starter Cloud editions of Label Studio, which support basic connections, Enterprise connectors provide advanced authentication, role-based access, and audit trails to keep data fully governed.
Databricks gives enterprises a single home for fragmented data through Unity Catalog. But the moment annotation was required, that unified picture fractured. Teams had to eject data into external storage, creating duplicates, slowing timelines, and most importantly, breaking governance. What was meant to be a streamlined workflow became a compliance risk and an operational drag.
The new integration removes that break in the workflow. Label Studio Enterprise connects directly to Databricks, so data never leaves the governed environment. Annotators can work in place, while existing role-based permissions and audit trails continue to apply. Once annotation is complete, results flow straight back into Databricks in JSON format, no detours, no duplication, no loss of control.
Enterprises shouldn’t have to choose between moving fast and staying compliant. By keeping annotation inside Databricks, this integration eliminates risky exports and redundant storage. Security teams maintain oversight, while machine learning teams get immediate access to governed data and deliver higher-quality training sets
Annotation shouldn’t force your data outside its governance framework. That’s where Label Studio Enterprise makes a difference. Open source and Starter Cloud editions support basic connectors, but Enterprise takes it further with secure, compliant integrations across Databricks, S3, Azure Blob, GCS, and more. These connectors ensure role-based permissions, audit logs, and compliance controls stay intact throughout the annotation process.
For a complete breakdown of supported storage systems and authentication methods, see the Enterprise storage connector documentation.
Databricks has introduced features for automated evaluation, but when it comes to human annotation, enterprises need a dedicated interface. Label Studio Enterprise brings advanced consensus workflows, intuitive tools for annotators, and the ability to combine human and automated evaluation in the same pipeline, all while keeping data where it belongs.
The Databricks connector is included with Label Studio Enterprise at no extra cost. It expands a growing ecosystem of secure integrations built for enterprise data governance, so wherever your data lives, you can annotate it in place without compromise.