Logto – Modern auth infrastructure for developers. Add multi-tenancy, enterprise SSO, and RBAC to your SaaS or AI apps.Learn how Apache Druid and InfluxDB 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.
Both Apache Druid and InfluxDB 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 leads in popularity with 31,699 stars vs 14,042 stars for Apache Druid. The 126% higher star count indicates stronger community adoption. In terms of developer contributions, Apache Druid has 3,793 forks, indicating strong developer engagement.
Apache Druid and InfluxDB are moving at much the same rate, adding 7 stars and adding 51 stars respectively over the last 30 days (0% vs +0.2%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with Apache Druid last updated 6 hours ago and InfluxDB 2 days ago.
Both tools share common technology foundations, being built with Bash, Python. However, they differ in their additional technology choices: Apache Druid uses JavaScript, CSS, Typescript, JSX, SCSS, Java while InfluxDB leverages Rust.
Both projects started around the same time, with Apache Druid beginning 14 years ago and InfluxDB 13 years ago.
Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in Time Series Databases.
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