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Stay informed about new features, explore use cases, and learn how to build real-time data pipelines with GlassFlow.
ClickHouse
Read moreWhy Denormalization is Not the Answer to Reducing Joins in ClickHouse
Why denormalization slows down ClickHouse and what to do instead.
Written by Armend Avdijaj31/03/2025, 09.31

ClickHouse
Flink Alternatives for ClickHouse: Real-Time Streaming Without the Overhead
Compares Flink alternatives for real-time ClickHouse integration.
ClickHouse
GlassFlow: ClickHouse Duplications and JOINs solved for Kafka Users
Learn how we will solve the biggest challenges of Kafka users with ClickHouse.
ClickHouse
Part 1: How do you usually ingest data from Kafka to ClickHouse?
Deep dive on raw data ingestions from Kafka to ClickHouse.
ClickHouse
Part 2: Why are duplicates happening and JOINs slowing ClickHouse?
Learn the root of the duplication and JOINs issues of Kafka to ClickHouse.
ClickHouse
Part 3: ClickHouse ReplacingMergeTree and Materialized Views are not enough
Deep dive on limitations of ReplacingMergeTree and Materialized Views.
ClickHouse
Part 4: Can Apache Flink be the solution?
Apache Flink isn't the solution for duplications and JOINs on ClickHouse.
ClickHouse
Part 5: How GlassFlow will solve Duplications and JOINs for ClickHouse
Learn the details on how GlassFlow will solve Duplications and JOINs.
Cleaned Kafka Streams for ClickHouse
Clean Data. No maintenance. Less load for ClickHouse.
GitHub Repo