Read the columns you need
Column-oriented storage suits aggregations over events, logs and other analytical datasets.
Read the official guideCollect product events, logs and reporting data in a column-oriented SQL database. Aggregate the columns you need without making your transactional application database carry every analytical query.
SELECT toStartOfHour(timestamp) AS hour,
count() AS events, uniq(user_id) AS users
FROM product_events
GROUP BY hour
ORDER BY hour DESC;Working with ClickHouse
Column-oriented storage suits aggregations over events, logs and other analytical datasets.
Read the official guideChoose ordering keys and partitioning for the way you query and retain your data.
Read the official guideMaterialized views can move repeated transformations into the ingestion path.
Read the official guideProduct analytics, operational logs and SQL reporting across large event datasets.
DBTurbine currently offers dedicated single-node ClickHouse deployments and full cloud backups. HA and point-in-time recovery are not included for this engine.
The workspace brings connections, access and recovery together. Your application keeps its standard database client.
Find your endpoint, port, credentials and certificate together, with examples for standard clients.
Set allowed IPs and give applications separate users. Review permissions before opening access.
Full cloud backups provide restore points away from the live database server.
Choose a published node type, region and storage. Review your monthly total before checkout.