PostgreSQLPostgreSQL Global Development Group
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TimescaleDBTiger Data
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Related Products
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About
PostgreSQL is a powerful, open-source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. There is a wealth of information to be found describing how to install and use PostgreSQL through the official documentation. The open-source community provides many helpful places to become familiar with PostgreSQL, discover how it works, and find career opportunities. Learm more on how to engage with the community. The PostgreSQL Global Development Group has released an update to all supported versions of PostgreSQL, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23. This release fixes 25 bugs reported over the last several months. This is the final release of PostgreSQL 10. PostgreSQL 10 will no longer receive security and bug fixes. If you are running PostgreSQL 10 in a production environment, we suggest that you make plans to upgrade.
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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.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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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
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Audience
Companies searching for a solution to manage and improve their operations
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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
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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PricingFree, open-source software
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationPostgreSQL Global Development Group
United States
www.postgresql.org
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Company InformationTiger Data
Founded: 2015
United States
www.tigerdata.com/timescaledb
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Alternatives |
Alternatives |
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Categories |
Categories |
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Relational Database Features
ACID Compliance
Supported
Data Failure Recovery
Supported
Multi-Platform
Supported
Referential Integrity
Supported
SQL DDL Support
Supported
SQL DML Support
Supported
System Catalog
Supported
Unicode Support
Supported
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Integrations
APERIO DataWise
Supported
DataClarity Unlimited Analytics
Supported
Last9
Supported
Mode
Supported
MyDBA.dev
Supported
Ndustrial Contxt
Supported
QStudio
Supported
Tiger Data
Supported
TrendMiner
Supported
Visplore
Supported
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Integrations
APERIO DataWise
Supported
DataClarity Unlimited Analytics
Supported
Last9
Supported
Mode
Supported
MyDBA.dev
Supported
Ndustrial Contxt
Supported
QStudio
Supported
Tiger Data
Supported
TrendMiner
Supported
Visplore
Supported
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