TimescaleDB

TimescaleDB

Tiger Data
+
+

Related Products

  • Google Cloud BigQuery
    2,027 Ratings
    Visit Website
  • DbVisualizer
    593 Ratings
    Visit Website
  • Google Cloud SQL
    554 Ratings
    Visit Website
  • RaimaDB
    12 Ratings
    Visit Website
  • Couchbase
    417 Ratings
    Visit Website
  • BidJS
    37 Ratings
    Visit Website
  • Crelate
    699 Ratings
    Visit Website
  • Muzaic
    2 Ratings
    Visit Website
  • ClickLearn
    67 Ratings
    Visit Website
  • Arryved
    46 Ratings
    Visit Website

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

Screenshots and 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

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

Alternatives

InfluxDB

InfluxDB

InfluxData
CelerData Cloud

CelerData Cloud

CelerData
DataPortia

DataPortia

Atorcom

Categories

Categories

Integrations

QStudio Supported
VisuaLeaf Supported
Wyn Enterprise Supported
Bytebase Supported
Claude Dashboards Supported
Grouparoo Supported
HighByte Intelligence Hub Not Supported
Kestra Supported
Manticore Search Supported
Megaladata Supported
Metabase Supported
Nucleon Database Master Supported
Peaka Supported
Preset Supported
Prometheus Supported
RudderStack Supported
SigNoz Supported
StackSpend Supported
Toucan Supported
YepCode Supported

Integrations

QStudio Supported
VisuaLeaf Supported
Wyn Enterprise Supported
Bytebase Not Supported
Claude Dashboards Not Supported
Grouparoo Not Supported
HighByte Intelligence Hub Supported
Kestra Not Supported
Manticore Search Not Supported
Megaladata Not Supported
Metabase Not Supported
Nucleon Database Master Not Supported
Peaka Not Supported
Preset Not Supported
Prometheus Not Supported
RudderStack Not Supported
SigNoz Not Supported
StackSpend Not Supported
Toucan Not Supported
YepCode Not Supported
Claim ClickHouse and update features and information
Claim ClickHouse and update features and information
Claim TimescaleDB and update features and information
Claim TimescaleDB and update features and information