What’s Up with Parquet Performance in ClickHouse®?
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…
Real-time Gets Real: The Shift to Fresh Analytics Data
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…
Run ClickHouse® like a Cheapskate – 6 Ways to Save Money While Delivering Real-Time Analytics
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…
ClickHouse® ReplacingMergeTree Explained: The Good, The Bad, and The Ugly
How much do you know about ClickHouse ReplacingMergeTree? Learn about this powerful engine, how it works, and all its functionalities | old and new | so you can build real-time synchronization pipelines from OLTP databases like MySQL.
ETL vs ELT Cage Fight: Combining RudderStack and ClickHouse® to Build Real-Time Data Pipelines – Altinity/RudderStack Joint-Webinar
ETL or ELT? Use both. RudderStack streaming transforms and ClickHouse® materialized views work together to build fast, secure real-time data pipelines.
Preventing ClickHouse® Storage Deletion with the Altinity Kubernetes Operator reclaimPolicy
Accidental storage deletion is preventable with the Altinity Kubernetes Operator for ClickHouse. Avoid accidents with reclaimPolicy: retain.
New Tips and Tricks that Every ClickHouse® Developer Should Know
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.
