ClickHouse®
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
Why Aiven
ClickHouse made simple
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.
Aiven in action
See the sub-second response times for yourself
Explore a live, interactive dashboard powered by Aiven for ClickHouse, querying a dataset of over 1 billion rows.
pricing
Try Aiven for ClickHouse for free
Scale without hidden costs
Startup
For test environments with high performance needs
Starting from
$155/month
Business
For business-critical production and larger test environments
Starting from
$654/monthFrequently asked questions
ClickHouse® is an open source columnar database management system that powers scalable real-time data products. ClickHouse is:
- Fast and resource efficient: Lightning-quick query performance combines with best-in-class compression ratios to meet mission-critical needs.
- Easy to integrate across your stack: An expansive integration ecosystem simplifies data ingestion, visualization, connections to language clients, and more.
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:
- Real-time observability: Ingest millions of log events or metrics per second from sources like Kafka or OpenTelemetry. Build powerful, centralized observability platforms to monitor your systems and troubleshoot issues in real time.
- AI/ML feature stores and analytics: Power your AI applications by using ClickHouse as a high-performance engine for real-time feature engineering and analytics. Quickly query massive datasets to train models or serve features with low latency.
- Real-time heterogeneous joins: With federated queries, seamlessly query data directly from external systems like S3-compatible object storage, PostgreSQL, Apache Kafka, MySQL, or any web resource accessible over HTTP for accelerated data exploration.
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.
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