Accelerate business insights with Lakeflow Connect, now with a Free Tier

2026-04-02 · Source: Databricks · Field: Technology & Digital — Data Science & Analytics, Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

Databricks has introduced the Lakeflow Connect Free Tier, announced at FabCon 2026, to facilitate the ingestion of enterprise data into the Databricks Platform. Lakeflow Connect, currently used by over 2,000 customers, offers built-in connectors for more than 30 data sources, including SaaS applications like Dynamics 365, Google Ads, Meta Ads, Confluence, and Jira, as well as databases such as SQL Server, MySQL, and PostgreSQL. The new free tier provides every Databricks workspace with 100 free DBUs per day, specifically for managed SaaS and database connectors. This allocation supports the ingestion of up to 100 million records per workspace daily, enabling AI agents like Databricks Genie to access a complete enterprise context for improved reasoning and decision-making.

Key takeaway

For CTOs and VPs of Engineering evaluating data integration solutions for AI initiatives, the Lakeflow Connect Free Tier offers a compelling opportunity to unify enterprise data without immediate cost. You can now ingest up to 100 million records daily per workspace, enabling your AI agents to operate with a complete data picture and avoid guesswork, thereby improving analytical accuracy and operational insights.

Key insights

Unifying enterprise data from disparate sources enhances AI agent capabilities by providing complete context.

Principles

• Data silos limit AI agent effectiveness.
• Unified governance simplifies data management.

Method

Lakeflow Connect uses built-in connectors and a point-and-click UI to ingest data from SaaS apps, databases, and cloud storage into the Databricks Platform, governed by Unity Catalog.

In practice

• Ingest up to 100M records daily for free.
• Correlate support trends with revenue patterns.

Topics

• Lakeflow Connect
• Databricks Platform
• Free Tier
• Enterprise Data Unification
• AI Agents

Best for: CTO, VP of Engineering/Data, Executive, Data Engineer, MLOps Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Databricks.