The BYOC model lets you run analytics databases in your cloud account. You control where your data and compute resources live, you control backups and storage, but Altinity handles the infrastructure for you.
Can a single ClickHouse BYOC node stay responsive across 3 billion rows? Our ClickHouse Star Schema Benchmark measured selective query latency as low as 34 ms.
Using materialized views to process data from Kafka into ClickHouse® is a common architecture. See how changing where a materialized view wrote its rows reduced ingestion lag by more than 50%.
Last year, Project Antalya arrived, integrating ClickHouse® with Iceberg data lakes to bring low-cost object storage to real-time analytics. Now you can try out these features yourself in the new Antalya Playground.
Antalya swarms are clusters of stateless ClickHouse servers that can give you real-time query performance for Parquet files and Iceberg catalogs. See how standalone swarms add even more flexibility.
ClickHouse ingestion lag can have many causes. In this case, creating a separate Keeper for S3Queues solved the problem. See how we found the culprit, designed a solution, pushed it into ClickHouse, and delivered it to the customer.
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