FIPS-compatible Altinity Stable Builds for ClickHouse enable secure analytics in compliance with US government standards. Learn about FIPS and how to run ClickHouse in a FIPS-compatible manner.
Supported in ClickHouse, Apache Parquet has use cases other than just a storage format in the Hadoop ecosystem. See what results we got when we tested it in Altinity.Cloud to query Parquet files at S3 with the same efficiency as…
Altinity CEO Robert Hodges and Tinybird CEO Jorge Sanchez explore what real-time analytics actually means in practice: from the origin story of ClickHouse® at a 300-billion-events-per-day ad platform to inventory management, security event detection, personalization, and the open-source ecosystem that…
Discover six practical, proven techniques for dramatically cutting the cost of running ClickHouse® analytics, from free laptop development through schema tuning, TTL recompression, tiered storage, Kubernetes compute scaling, and cheaper cloud infrastructure. Altinity CEO Robert Hodges draws on years of…
ETL or ELT? Use both. RudderStack streaming transforms and ClickHouse® materialized views work together to build fast, secure real-time data pipelines.
Discover seven advanced ClickHouse® developer tips from Altinity CEO Robert Hodges, covering fast S3 data reads with named collections, codec-based compression, ORDER BY optimization, ReplacingMergeTree deduplication, RBAC replication via ZooKeeper, TTL recompression, and using aggregation to replace costly joins.
OpsVerse replaced Cassandra with ClickHouse for Jaeger traces, built a full APM module with materialized views and Grafana — no changes to Jaeger’s code.
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