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What is TimescaleDB?

TimescaleDB is an advanced time-series and analytics database built entirely on top of PostgreSQL, combining the best of relational reliability and time-series speed. It’s engineered to help developers and data teams analyze streaming, sensor, and event data in real time, while retaining historical data cost-effectively. Its core innovation, the hypertable, automatically partitions large datasets across time and space, optimizing query planning and ingestion for billions of records. TimescaleDB’s continuous aggregates provide incrementally refreshed views, enabling instant dashboards and analytics without costly recomputations. It also offers hybrid row-columnar storage, blending transactional speed with analytical performance, and supports compression rates up to 95% for long-term data storage. With built-in automation for retention, aggregation, and reordering, it reduces the operational overhead of managing time-series data at scale. TimescaleDB’s hyperfunctions library extends SQL with over 200 specialized time-series analysis functions — ideal for anomaly detection, forecasting, and performance tracking. Because it’s 100% PostgreSQL compatible, teams can leverage existing Postgres tools, drivers, and extensions while gaining time-series capabilities instantly. Open-source and cloud-ready, it powers critical workloads for industries ranging from IoT and fintech to cloud infrastructure monitoring. With TimescaleDB, developers can query billions of data points in milliseconds — using the same SQL they already know.

What is Azure Time Series Insights?

Azure Time Series Insights Gen2 stands out as a flexible and all-encompassing analytics platform tailored for IoT, offering users a superior experience along with powerful APIs that facilitate the integration of its innovative features into existing applications or workflows. This platform is designed to handle the entire lifecycle of data—collecting, processing, storing, querying, and visualizing it—specifically targeting the expansive needs of the Internet of Things (IoT), with an emphasis on contextualized data ideal for time series analysis. Whether for exploratory data analysis or operational insights, it equips users with the tools to uncover hidden trends, detect anomalies, and conduct thorough root-cause investigations with ease. Serving as a robust and adaptable solution, it meets the varied demands of industrial IoT applications while promoting scalability and user-friendliness. Moreover, the platform's advanced capabilities can greatly improve decision-making and operational efficiency across multiple industries, ultimately driving better outcomes. In addition, it fosters a data-driven culture, encouraging organizations to leverage insights for continuous improvement.

Media

Media

Integrations Supported

APERIO DataWise
AccessOwl
Azure Data Explorer
Azure Marketplace
DataClarity Unlimited Analytics
Dataplane
HighByte Intelligence Hub
Last9
Mode
MyDBA.dev
Ndustrial Contxt
NexClipper
PostgreSQL
Pro Edition for Eclipse Mosquitto
QStudio
Tiger Data
TrendMiner
Visplore
Wyn Enterprise
n8n

Integrations Supported

APERIO DataWise
AccessOwl
Azure Data Explorer
Azure Marketplace
DataClarity Unlimited Analytics
Dataplane
HighByte Intelligence Hub
Last9
Mode
MyDBA.dev
Ndustrial Contxt
NexClipper
PostgreSQL
Pro Edition for Eclipse Mosquitto
QStudio
Tiger Data
TrendMiner
Visplore
Wyn Enterprise
n8n

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$36.208 per unit per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tiger Data

Date Founded

2015

Company Location

United States

Company Website

www.tigerdata.com/timescaledb

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/pricing/details/time-series-insights/#overview

Categories and Features

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

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