Unify your productivity and AI data with Lakeflow Connect

Lakeflow Connect integrates documents, project tools, emails, and AI systems into a unified data foundation on Databricks, addressing the fragmentation of enterprise knowledge. Native connectors for wikis, project management platforms, and AI foundation models allow AI agents to access complete business context without manual data extraction. The service provides fully managed connectors for SaaS applications, databases, and files, ingesting data directly into Unity Catalog as governed tables. Setup is streamlined via a point-and-click UI or API, eliminating the need for infrastructure management or custom pipelines.

The productivity stack—spanning project trackers, document stores, and AI tools—often holds critical operational data that is difficult to consolidate. Historically, extracting this data required slow, maintenance-heavy custom pipelines, limiting access to high-impact use cases like AI agents grounded in internal knowledge. Lakeflow Connect removes these bottlenecks by offering connectors across Customer 360, Operations, Finance, and Productivity, enabling real-time ingestion without integration delays. Customers like Toyota Finance Australia and VaxCare use these connectors to automate data flows into Databricks for AI applications.

Unstructured content such as files, pages, and messages is ingested as governed tables in Unity Catalog, where it can be transformed for downstream AI use cases. The data format varies by source, but all content is standardized into text that can be indexed for retrieval and deployed behind AI agents. Lakeflow Connect supports connectors for major foundation model providers, providing a unified view of AI usage and adoption trends to measure ROI. Customers like M3 Accounting and Digicert leverage these connectors to unify engineering and product documentation or power internal AI assistants without custom pipelines.

Lakeflow Connect extends coverage to widely used platforms like Atlassian, enabling tracking of project launches, bottlenecks, and resolution times alongside documentation. Data from all connectors resides in Unity Catalog, allowing direct querying in Databricks SQL, natural language analysis with Genie One, and grounding of agents built with Agent Bricks. Governance, lineage, and access controls remain consistent across sources, ensuring secure and auditable data access. The platform continues to expand with new connectors rolling out across lines of business, and a free trial is available for immediate evaluation.