ClickHouse®
Now running 25.8
ClickHouse, without the complications.
You’re minutes away from a production-ready ClickHouse cluster — ready to fuel lightning-fast online analytical processing (OLAP) applications.
On any cloud
99.99% SLA
You’re minutes away from a production-ready ClickHouse cluster — ready to fuel lightning-fast online analytical processing (OLAP) applications.
On any cloud
99.99% SLA
You’re minutes away from a production-ready ClickHouse cluster — ready to fuel lightning-fast online analytical processing (OLAP) applications.
On any cloud
99.99% SLA
Why Aiven
Aiven for ClickHouse® is a managed service that gives you full control of your online analytical processing infrastructure — with the convenience of not managing it yourself, predictable billing, and our 99.99% uptime SLA.
Real-time insights
Enable sub-second insights for interactive dashboards and advanced observability platforms across petabytes of data — all with superior cost-performance.
Tiered storage
Move older, infrequently accessed data to object storage, while ClickHouse scales compute and storage independently to handle your most demanding queries.
Data stack
Aiven in action
Explore a live, interactive dashboard powered by Aiven for ClickHouse, querying a dataset of over 1 billion rows.
pricing
Scale without hidden costs
For business-critical production and larger test environments
Starting from
$654/monthClickHouse® is an open source columnar database management system that powers scalable real-time data products. ClickHouse is:
Ideal for OLAP use cases: ClickHouse’s column-oriented database outperforms row-oriented alternatives by 100x — a critical difference in analytical workloads using large datasets.
Aiven for ClickHouse is a managed version of the real-time data warehouse and open source database ClickHouse. Aiven handles all the operational overhead of running ClickHouse — including server provisioning, patching, high-availability, backups, and security — allowing you to focus on building your OLAP-powered apps, rather than on managing infrastructure.
Online Analytical Processing (OLAP) is a technology used to perform low-latency, multidimensional analysis of large volumes of data. This approach is frequently employed in real-time analytics, observability, data warehousing, and artificial intelligence applications.
The most common use cases span a range of categories, including:
Faster JOIN operations: With Dictionaries, create in-memory key-value mappings from various data sources like small reference tables in PostgreSQL, CSV files, and other ClickHouse tables. These dictionaries provide ultra-low latency lookups to enrich analytical queries.
STOP MANAGING, START BUILDING
Why Aiven
Aiven for ClickHouse® is a managed service that gives you full control of your online analytical processing infrastructure — with the convenience of not managing it yourself, predictable billing, and our 99.99% uptime SLA.
Real-time insights
Enable sub-second insights for interactive dashboards and advanced observability platforms across petabytes of data — all with superior cost-performance.
Tiered storage
Move older, infrequently accessed data to object storage, while ClickHouse scales compute and storage independently to handle your most demanding queries.
Data stack
Aiven in action
Explore a live, interactive dashboard powered by Aiven for ClickHouse, querying a dataset of over 1 billion rows.
pricing
Scale without hidden costs
For business-critical production and larger test environments
Starting from
$654/monthClickHouse® is an open source columnar database management system that powers scalable real-time data products. ClickHouse is:
Ideal for OLAP use cases: ClickHouse’s column-oriented database outperforms row-oriented alternatives by 100x — a critical difference in analytical workloads using large datasets.
Aiven for ClickHouse is a managed version of the real-time data warehouse and open source database ClickHouse. Aiven handles all the operational overhead of running ClickHouse — including server provisioning, patching, high-availability, backups, and security — allowing you to focus on building your OLAP-powered apps, rather than on managing infrastructure.
Online Analytical Processing (OLAP) is a technology used to perform low-latency, multidimensional analysis of large volumes of data. This approach is frequently employed in real-time analytics, observability, data warehousing, and artificial intelligence applications.
The most common use cases span a range of categories, including:
Faster JOIN operations: With Dictionaries, create in-memory key-value mappings from various data sources like small reference tables in PostgreSQL, CSV files, and other ClickHouse tables. These dictionaries provide ultra-low latency lookups to enrich analytical queries.
STOP MANAGING, START BUILDING
