High-performance analytical queries across Kafka and Iceberg
Hyperstream indexes Kafka and Iceberg for ultra-fast SQL. Up to 30x performance improvement vs today's SQL on Kafka products.
What is Hyperstream
What you get with Hyperstream
Faster query performance
Hyperstream lets you filter data by message fields like user, timestamp or status without scanning entire datasets, dramatically reducing query time.
Efficient non-sequential access
Instead of being limited to Kafka's offset-based access pattern, you can query data flexibly based on business-relevant attributes.
Reduced compute costs
Avoiding full-table scans saves more than just time. Hyperstream lowers the amount of processing required for queries, saving infrastructure and reducing peak loads.
Improved scalability
As data grows, traditional query performance drops. Hyperstream queries remain performant, making it easier to handle large-scale streaming and analytical workloads.
Better support for analytical use cases
Indexes power filtering and aggregations present in 99% of analytical use cases. Hyperstream brings these directly to the data.
Seamless integration
Hyperstream is SQL based, ensuring compatibility with all Iceberg engines.
Getting started in minutes, not months
- 1
Configure
Configure an Iceberg engine and Streambased I.S.K. data source – Hyperstream does the rest.
- 2
Deploy
Manage index lifecycles with Streambased UI/REST tools.
- 3
Connect
Add Hyperstream's powerful SQL tools to your application code and see immediate speed up.
Let's find the right solution for your data
We're here to help you unlock the full potential of your streaming data. Tell us about your challenges or ideas — and let's explore how Streambased can support your business.