Stream Real‑Time Data to Databricks with Estuary
Learn how to stream real-time data from PostgreSQL into Databricks using Estuary — no code, no maintenance.
In this demo, Dani walks through:
• Setting up a Databricks SQL Warehouse and generating a personal access token
• Capturing the users and transactions tables from PostgreSQL in Estuary
• Materializing those tables directly into Databricks using the built-in connector
• Monitoring live data replication and verifying the results in Databricks SQL Warehouse
Highlights of Estuary:
• Real-time change data capture with millisecond latency
• Native support for Databricks Unity Catalog and Delta Lake
• Zero-code pipeline setup with automatic backfill and continuous sync
Why it matters
Streaming live data into Databricks unlocks fresh analytics, real‑time dashboards, and feeding ML models with up‑to‑date data — all without complex ETL or scripting
🔗 Learn more & get started:
• Official Estuary Flow guide: https://estuary.dev/real-time-fraud-detection-databricks/
• https://estuary.dev/blog/load-data-into-databricks/
• Start building for free at: https://dashboard.estuary.dev/register
If you have questions or need help, jump into our community Slack or check the docs.
#databrickstutorial #databricks
00:00 - Introduction
00:49 - Materializing Data to Databricks
01:45 - Verifying Data in Databricks
02:04 - Conclusion

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