Best Time Series Database Products in 2025

Scalable datastore for metrics, events, and real-time analytics.

Key InfluxData features:

High Performance Open-Source Scalability Built-In Data Processing

Open Source

TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.

Key TimescaleDB features:

Scalability Time-Series Data Optimization SQL Compatibility Retention Policies

Open Source

Fast, easy-to-use, and cost-effective time series database .

Key VictoriaMetrics features:

High Performance Scalability Cost-effective Compatibility

Open Source

QuestDB is the fastest open source time series database.

Key QuestDB features:

High Performance SQL Support Time-Series Optimization Open Source

Open Source

OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase.

Key OpenTSDB features:

Scalable High Performance Real-time Analytics Integration with Hadoop

Open Source

An open-source systems monitoring and alerting toolkit.

Key Prometheus features:

Powerful Query Language Dimensional Data Model Auto-Discovery Alerting

Open Source

High performance data logging and graphing system for time series data.

Key RRDTool features:

Efficient Data Storage Time Series Data Visualization Open Source Built-in Aggregation

Fast Time Series Database on Cassandra.

Key KairosDB features:

High Performance Scalability Flexibility Integration Capabilities

Open Source

The world's most popular open source database.

Key MySQL features:

Reliability Performance Open Source Scalability

Open Source

Realtime analytics database.

Key PipelineDB features:

Real-time Aggregation PostgreSQL Compatibility Simplified Architecture Scalability

Open Source

Ease the daily management and analysis of sensor data.

Open Source freemium

Horizontally scalable, highly available, multi-tenant, long term Prometheus.

Open Source

Circonus delivers Machine Data Intelligence for the most demanding use cases. Collect, store, manage, and analyze IoT and monitoring data at unprecedented volume and frequency.