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
50+ extensions












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.
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
Frequently 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 OpenSearch 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.
- SQL user-defined functions: Define, reuse, and standardize your complex analytical logic with SQL UDFs. This speeds up query development, guarantees consistent business rule enforcement, and moves common transformations closer to your data, reducing external processing overhead.
- 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 heterogenous 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.
STOP MANAGING, START BUILDING