Faster joins for your ClickHouse
ClickHouse Join performance is slow. Pre-join your data before ingesting to ClickHouse. Faster queries. Lower costs. Clean data.
Clean data
Ensures only cleaned data arrives to your ClickHouse. That makes every query faster to run and ensures correct query results.
Lower costs
Reduce significantly the costs of your ClickHouse by joining data before ingestion.
Faster queries
By reducing the load of your ClickHouse your queries will be blazing fast again.
Comparison
See in detail how GlassFlow performs compared to alternative solutions
Denormalization
Late event management
Stateful store
Stateful store
Quick to start
Reduced load for ClickHouse
Low maintanance effort
Open source
Not needed
ClickHouse
Go Service
Not needed
Requires state store
CLICKHOUSE JOINS - LIMITATIONs
Joins in ClickHouse are popular, but they have certain limitations. Learn more about JOINS in ClickHouse below and their performance limitations below.
How does it work?
Joins and dedupe before ingestion
GlassFlow sits in-between your Kafka and ClickHouse. The joins are performed directly on GlassFlow. With managed connectors and a serverless engine, it offers a clean, low-maintenance architecture that is easy to deploy and scales effortlessly.
7 days joining window
Auto detection of matching records within 7 days after setup to ensure your data is always clean and storage is not exhausted.
State store built-in
Built-in lightweight state store enables low-latency, in-memory deduplication and joins with context retention within the selected time window (up to 7 days).
Managed Kafka and Clickhouse Connector
Built and updated by GlassFlow team. Data inserts with a declared schema and schemaless. The connectors are optimized for ClickHouse and can source data from any Kafka instance (managed and on-prem). If you need another connector than Kafka, fee free to reach out to us.
Frequently asked questions
Feel free to contact us if you have any questions after reviewing our FAQs.
