Make your entire Apache Kafka estate instantly accessible for analytics, BI, and AI/ML workflow
No ETL, no delays, just insights.
Streamline your workflow
ACCESS YOUR KAFKADATA AS A...
DatabaseAnalytics Service for Kafka (A.S.K) allows you to query your Kafka data directly using SQL, at interactive speed. Treat Kafka topics just like tables in a traditional database, unlocking instant insights without shuffling data around or sacrificing performance. Perfect for debugging, ad-hoc exploration and reporting.
File systemStorage Service for Kafka (S.S.K) allows you to easily pull raw data straight from your Kafka topics for rapid experimentation, as if it was an S3 bucket. No data movement, just tap into your existing Kafka estate to explore, prototype, and iterate in real time.
Table format (Iceberg)Iceberg Service for Kafka (I.S.K) takes analytics to the next level by treating Kafka like an Iceberg table, right at the source. With no data movement, you can plug your Kafka data directly into Snowflake or Databricks. Analyze real-time events just as if they were any other table, all without replicating or relocating a single byte.
Across all components, Streambased provides:
- Best-in-class indexing for unmatched query/read performance
- Full compatibility with Kafka ecosystem tools like Schema Registry and ACLs
The Streambased effect
With Streambased, analysts can:
Query Kafka directly with SQL - No need to move data.
Access Kafka as a file system - Perfect for AI/ML & experimentation.
Stream Kafka as Iceberg - Plug into Snowflake, Databricks & BI tools instantly.
Backed by leaders who want to provide better insights from real-time data
