Stream your data to Snowflake now!
While everyone else is talking about “90-minute migrations” with Jupyter notebooks, Spark, Kafka, YAML, and prayers, we’re letting you stream your entire pipeline into Snowflake — in 5 minutes.
At Snowflake Summit?
Meet with Paul
1.
Bring in data from your source
Streamkap supports a growing list of real-time sources, destinations, and file formats. It’s a low-code, straightforward configuration. Connect your cloud and on-prem databases via SSH, VPN, and an On-Prem proxy agent.
Start for free
2.
Setting up your Snowflake Warehouse
To get Snowflake 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 Snowflake, it could be Databricks… or ClickHouse, or MotherDuck, or BigQuery
Tsss! It doesn’t have to be Snowflake, it could be Databricks… 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!
