CategoriesTime Series

Companies in the category 'Time Series'

These are companies that provide open source databases and tools optimized for storing and analyzing time-stamped data.

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Showing 1-5 of 5 items
Tiger Data

PostgreSQL platform for time-series data

Tiger Data (formerly Timescale) is the creator of TimescaleDB, an open-source PostgreSQL extension purpose-built for time-series workloads that delivers high-performance analytics with automatic partitioning, columnar storage, and tiered storage. The company offers a fully managed cloud platform that extends PostgreSQL with time-series, vector search, and lakehouse integration capabilities for IoT, observability, financial, and AI workloads at petabyte scale.

Location: New York, NY, USA
Founded: 2015
Industries
Data & Analytics
Technologies
DatabasePostgreSQL
Sectors
Enterprise
Licenses
Apache-2.0
Updated: April 11, 2026
2 people
6 headlines
TDengine

AI-powered time-series database for IoT

TDengine is an AI-powered industrial data platform built around TDengine TSDB, an open-source, high-performance, cloud-native time-series database optimized for IoT, connected cars, and industrial applications. The platform enables real-time ingestion, processing, and analysis of petabytes of data generated by billions of sensors and devices, and includes an AI-native industrial data management layer with built-in stream processing, caching, and data subscription capabilities.

Location: San Jose, CA, USA
Founded: 2017
Industries
Industrial
Technologies
IoTStream Processing
Sectors
Enterprise
Licenses
AGPL-3.0
Updated: April 6, 2026
2 people
2 headlines
Timescale

PostgreSQL-based time-series database

Timescale (now operating as Tiger Data) is the creator of TimescaleDB, an open-source time-series database built as a PostgreSQL extension that delivers high-performance analytics and automated data management. The company offers a managed cloud platform that extends PostgreSQL with time-series optimizations, columnar storage, tiered storage, and vector search capabilities for IoT, observability, financial, and AI workloads.

Location: New York, NY, USA
Founded: 2015
Industries
Technologies
DatabasePostgreSQL
Sectors
Enterprise
Licenses
Apache-2.0
Updated: March 13, 2026
2 people
8 headlines
QuestDB

High-performance time-series database

QuestDB is an open-source time-series database designed for high-performance applications in finance, IoT, and observability. It is written in Java and C++ and optimized for time-series data, providing fast data ingestion and querying capabilities. The company primarily serves enterprise clients who require real-time analytics and high throughput data processing.

Location: London, United Kingdom
Founded: 2019
Industries
Financial Services
Technologies
DatabaseJava/C++
Sectors
Enterprise
Licenses
Apache-2.0
Updated: September 10, 2025
2 people
5 headlines

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InfluxData

Time series database for real-time data & AI.

InfluxData provides a platform for collecting, storing, visualizing, and processing time series data. Its core products, InfluxDB and InfluxDB Cloud, are built on a high-performance time series database designed to handle large volumes of timestamped data generated by IoT devices, applications, and systems. InfluxData primarily serves enterprises and developers.

Location: San Francisco, CA, USA
Founded: 2012
Industries
Data & Analytics
Technologies
DatabaseAnalytics
Sectors
Enterprise
Licenses
MIT
Updated: May 14, 2025
2 people
10 headlines