Altinity Blog

The new Hybrid Table Engine feature in the Project Antalya version of ClickHouse lets you query data from MergeTree and Iceberg together.

The new Antalya release is an important step in the Project Antalya roadmap that delivers better integration with data lakes and improved performance of queries over Iceberg data.

Connect ClickHouse to AWS's new S3 Table Buckets using Iceberg, run real-time SQL on Parquet data, and build data pipelines in Altinity.Cloud.

Real-time data lakes just got real. Altinity.Cloud for ClickHouse® now supports managed Iceberg & compute swarms for fast, scalable analytics.

Recent developments in ClickHouse® and Project Antalya elevate Iceberg support to a new level - matching and in some cases outperforming MergeTree, while enabling cheap object storage and scalable, shared data systems.

Discover Project Antalya: Experience ClickHouse® analytics on Iceberg storage, cutting costs by 90% and delivering up to 100x faster queries.

Large data lakes are challenging centralized analytic services. To deliver real-time analytics, databases need to work less like restaurants and more like food trucks.

An emerging architecture is using swarms of small ClickHouse® nodes to read Parquet files in S3. We look at what it'll take to make this work.

SPOILER ALERT: The popular Altinity Kubernetes Operator for ClickHouse supports ClickHouse Keeper as of version 0.24.0!

A few weeks ago we discussed how to read external Parquet data from ClickHouse. The article raised some performance concerns when querying big collections of Parquet files out of AWS S3 buckets. Time flies fast. Altinity engineers have made some...

In this article, we give a short retrospective of Altinity contributions to ClickHouse and also introduce our view on how ClickHouse should evolve to be the best database on the planet! 

Version 2.0 of the Altinity ClickHouse Sink Connector is here! This open-source, Apache 2.0-licensed project lets you mirror changes from a MySQL or PostgreSQL database into ClickHouse.