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.
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.
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…
ClickHouse support for Apache Parquet is outstanding. We blogged about it last year in “What’s Up With Parquet Performance in ClickHouse”. In this article, we will look at Parquet from a different perspective. Let’s say there is public Parquet data…
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…
ClickHouse clusters depend on ZooKeeper to handle replication and distributed DDL commands. In this webinar, we’ll explain why ZooKeeper is necessary, how it works, and introduce the new built-in replacement.
Can your Snowflake application run on ClickHouse? Learn how to migrate data from Snowflake to ClickHouse via S3 object storage and Parquet. Low latency response, freedom to run anywhere, and outstanding cost efficiency await.
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