Event streaming
Kafka-compatible event ingestion brings live data into the platform.
Real-time lakehouse in early access
Build pipelines while Growler runs the platform. Store data in a dedicated bucket or your own S3.
The intended workflow, without the operational stack becoming your team's job.
Send event data into the platform.
Define the data flow your team needs.
Transform and aggregate streaming data.
Work with results stored as Iceberg tables.
Designed for early access: choose isolated Growler-managed S3 storage or bring your own bucket.
Platform
Streaming, processing, and lakehouse storage working together, operated by Growler.
Provisioned and operated by Growler. Your data is separated from other customers.
Connect a bucket you provide and use it for your platform data.
Kafka-compatible event ingestion brings live data into the platform.
Transform and aggregate streams as events arrive.
Organize processed data in an open lakehouse format.
Use a dedicated Growler-managed bucket or one you provide.
Bring a bucket if you want to. You don't need one to get started.
A dedicated bucket provisioned and operated by Growler for your team.
Use a bucket you provide, with Growler directing the platform to store your data there.
Growler stores processed data as Apache Iceberg tables, an open format that many query engines can read. The format never decides which platform you use next.
Early access
Interested in real-time workflows without running the whole stack? Let's talk about early access.
Have another question? Request early access