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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 tools 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.
  • Stars


    31,571
  • Forks


    3,706
  • Last commit


    3 days ago
  • Repository age


    13 years
  • License


    Apache-2.0
View Repository
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.
  • Stars


    17,122
  • Forks


    1,608
  • Last commit


    23 hours ago
  • Repository age


    12 years
  • License


    Apache-2.0
View Repository
Screenshot of QuestDB

Detailed Comparison

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

InfluxDB wins
Community & Popularity

InfluxDB leads in popularity with 31,571 stars vs 17,122 stars for QuestDB. The 84% higher star count indicates stronger community adoption. In terms of developer contributions, InfluxDB has 3,706 forks, indicating strong developer engagement.

Comparable
Development Activity

Both projects show recent activity, with InfluxDB last updated 3 days ago and QuestDB 23 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.