Stream your data to Databricks now!
While others barehand their way through Kafka, Delta Live Tables, and a week of Spark jobs, you can stream clean, production-ready data into Databricks in 5 minutes — without breaking a sweat (or your DAGs).
At DATA + AI Summit?
Meet with Paul
1.
Bring in data from your source
Stream PostgreSQL data or Kafka events into Databricks to continuously update features for your machine learning models.
Stream support logs from DocumentDB or Parquet files in S3 to populate vector indexes or fine-tune LLM workflows.
Ingest MySQL or Oracle CDC data directly into Delta Lake tables, and more...
Low-latency transport and transformation: clean up and prepare data before it hits Databricks to maximize performance
See all connectors
2.
Setting up your Databricks Warehouse
To get Databricks ready for integration with Streamkap, you’ll need to setup all the required users, roles, permissions, and objects. We have a handy script and instructions!
Tsss! It doesn’t have to be Databricks, it could be Snowflake… or ClickHouse, or MotherDuck, or BigQuery
Tsss! It doesn’t have to be Databricks, it could be Snowflake… or ClickHouse, or MotherDuck, or BigQuery
3.
Create Pipeline
Transform, clean up, and filter your data on the way to snowflake
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4.
That’s it!
Follow the demo to see it in action!
Good job, you are streaming!
Go enjoy the summit!
Deploy in minutes, not weeks
No infra to manage. Bonus: BYOC!
Handles schema changes automatically
Built for engineers, not consultants
Cost effective and performant!
