
Stream into Databricks with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Databricks using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines



Databricks connector details
Estuary’s Databricks connector materializes data collections into tables in a Databricks SQL Warehouse. Data changes are first written to a Unity Catalog Volume and then applied transactionally to Databricks tables, ensuring reliable delivery of real-time updates. This connector supports both standard merges and delta updates for high-performance CDC workflows.
- Real-time CDC data sync from data collections into Databricks tables
- Choice of standard (merge) or delta updates to optimize performance and costs
- Native integration with Databricks Unity Catalog for secure, managed storage
- Flexible sync scheduling to balance freshness and warehouse costs

See how Launchmetrics uses Databricks
How to connect your data source to Databricks in 3 easy steps
- 1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Sync to Databricks
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.
Learn more with some related videos
Dive deeper into Databricks with tutorials and walkthroughs from our YouTube channel.
![Introducing Estuary Agent Skills: Build Data Pipelines with AI video thumbnail]()
Introducing Estuary Agent Skills: Build Data Pipelines with AI
Estuary Agent Skills give your AI coding assistant the Estuary-specific context it needs to build and operate real-time data pipelines. Ask in plain English, capture my Postgres database into Snowflake, load these collections into BigQuery, or why is this connector failing, and your assistant knows the workflow.
![What’s Next for Data Warehouses? Lessons from Our Benchmark and Emerging Trends video thumbnail]()
What’s Next for Data Warehouses? Lessons from Our Benchmark and Emerging Trends
Dani and Ben talks about key findings on performance ceilings, cost traps, and failure modes, and explore the major trends reshaping data warehouse architecture, including:
![Oracle CDC Setup Tutorial: Stream Oracle Data in Real Time with Estuary video thumbnail]()
Oracle CDC Setup Tutorial: Stream Oracle Data in Real Time with Estuary
Learn how to set up **Oracle Change Data Capture (CDC)** with Estuary and continuously capture changes from an Oracle Database using **Oracle LogMiner**.
![Save Webhook Data to Databricks in Real Time video thumbnail]()
Save Webhook Data to Databricks in Real Time
Learn how to stream incoming webhook data to Databricks without setting up and maintaining your own server for webhook captures. Follow along with our 3-minute demo and try out Estuary for free → https://dashboard.estuary.dev/register
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
Read success storyLaunchmetrics
Launchmetrics Scales Real-time Analytics to the Next Level with Estuary and Databricks
Read success storyDeel
How Deel Powers Real-Time Customer-Facing Analytics with Estuary
Read success storyTogether AI
How Together AI Uses Near-Real-Time Data to Understand Inference Economics
Read success storyEnvoy
Right-Time Visibility for a High-Velocity Business: Envoy’s Estuary Story

HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into Databricks, with capture and delivery cadence based on connector capabilities and pipeline configuration.
- Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Databricks through Estuary.
- Transform and route data through Estuary collections before delivering it to Databricks.
See what you can connect to Databricks:
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
One platform for real-time and batch data pipelines

Deliver real-time and batch data from DBs, SaaS, APIs, and more




















