ClickHouse vs. TimescaleDB Comparison


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About ClickHouse is a fast open-source OLAP database management system. It is column-oriented and allows to generate analytical reports using SQL queries in real-time. ClickHouse's performance exceeds comparable column-oriented database management systems currently available on the market. It processes hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. ClickHouse uses all available hardware to its full potential to process each query as fast as possible. Peak processing performance for a single query stands at more than 2 terabytes per second (after decompression, only used columns). In distributed setup reads are automatically balanced among healthy replicas to avoid increasing latency. ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. All nodes are equal, which allows avoiding having single points of failure.	About TimescaleDB is the leading time-series database built on PostgreSQL, designed to handle massive volumes of real-time data efficiently. It enables organizations to store, analyze, and query time-series data — such as IoT sensor data, financial transactions, or event logs — using standard SQL. With hypertables, TimescaleDB automatically partitions data by time and ID for fast ingestion and predictable query performance. Its compression engine reduces storage costs by up to 95%, while continuous aggregates make real-time dashboards instantly responsive. Fully compatible with PostgreSQL, it integrates seamlessly with existing tools and applications. TimescaleDB combines the simplicity of Postgres with the scalability and speed of a specialized analytical system.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Companies of all sizes	Audience Developers, data engineers, and analytics teams who need high-performance, PostgreSQL-compatible time-series storage and querying for IoT, fintech, DevOps, or event-driven applications
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Supported Free Trial Supported
Reviews/Ratings Overall 5.0 / 5 ease 3.0 / 5 features 4.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros ClickHouse is really really fast. I can say that it is THE fastest I've came across. It has lots of native integration options S3, Kafka, SQLite, PostgreSQL and so on. Its SQL capabilities are top notch. And it is 100% free! Cons - Updates and deletes are eventual. - Hard to setup a cluster. - Does not have ACID.
Training Documentation Not Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Not Supported In Person Not Supported
Company Information ClickHouse Founded: 2021 United States clickhouse.com	Company Information Tiger Data Founded: 2015 United States www.tigerdata.com/timescaledb
Alternatives StarTree	Alternatives Amazon Timestream Amazon
Amazon Redshift Amazon	GridDB
Apache Druid Druid	InfluxDB InfluxData
Yandex Managed Service for ClickHouse Yandex	Tiger Data
CelerData Cloud CelerData View All	DataPortia Atorcom View All
Categories Columnar Databases Supported Database Supported Database Management Systems (DBMS) Supported Distributed Databases Supported OLAP Databases Supported Query Engines Supported	Categories Relational Database Supported Time Series Databases Supported

Integrations QStudio Supported VisuaLeaf Supported Wyn Enterprise Supported Airtool Supported Argonaut Supported AtomicJar Supported Blink Supported DbGate Supported DbVisualizer Supported Doctor Droid Supported Manticore Search Supported Mindflow Supported MyDBA.dev Not Supported Ndustrial Contxt Not Supported NeoBase Supported NexClipper Not Supported SigNoz Supported Visplore Not Supported Yandex Managed Service for ClickHouse Supported n8n Not Supported Show More Integrations View All 113 Integrations	Integrations QStudio Supported VisuaLeaf Supported Wyn Enterprise Supported Airtool Not Supported Argonaut Not Supported AtomicJar Not Supported Blink Not Supported DbGate Not Supported DbVisualizer Not Supported Doctor Droid Not Supported Manticore Search Not Supported Mindflow Not Supported MyDBA.dev Supported Ndustrial Contxt Supported NeoBase Not Supported NexClipper Supported SigNoz Not Supported Visplore Supported Yandex Managed Service for ClickHouse Not Supported n8n Supported Show More Integrations View All 20 Integrations
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