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InfluxDB vs QuestDB

Learn how InfluxDB and QuestDB differ in their key features, development activity, technology stack and community adoption, so you can decide which of these time series databases is best for you.

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Favicon of InfluxDB

InfluxDB

InfluxDB handles high-velocity, high-resolution time series data at scale, built for telemetry, edge devices, IoT, and physical AI workloads.
31,706stars+54(+0.2%)

Last 30 days

Screenshot of InfluxDB
Favicon of QuestDB

QuestDB

Open-source time-series database offering massive ingestion throughput, millisecond queries, and SQL extensions, designed for optimal performance at any hardware scale.
17,268stars+80(+0.5%)

Last 30 days

Screenshot of QuestDB

Detailed Comparison

Both InfluxDB and QuestDB have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.

InfluxDB wins
Community & Popularity

InfluxDB leads in popularity with 31,706 stars vs 17,268 stars for QuestDB. The 84% higher star count indicates stronger community adoption. In terms of developer contributions, InfluxDB has 3,717 forks, indicating strong developer engagement.

QuestDB wins
Growth Momentum

QuestDB is growing faster, adding 80 stars in the last 30 days (+0.5%) against adding 54 stars for InfluxDB (+0.2%). QuestDB is the smaller project of the two, so it is closing the gap rather than extending a lead.

Comparable
Development Activity

Both projects show recent activity, with InfluxDB last updated 12 hours ago and QuestDB 11 hours ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with Bash, Python, Rust. However, they differ in their additional technology choices: QuestDB leverages JavaScript, Golang, C, Objective-C, PHP, Java, C++, C#.

Comparable
Project Maturity

Both projects started around the same time, with InfluxDB beginning 13 years ago and QuestDB 12 years ago.

Comparable
Licensing

Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.

Comparable
Use Cases & Features

Both tools serve similar use cases in Time Series Databases.