What is the main difference between Apache Druid and TimescaleDb?

Apache Druid and TimescaleDb are both time series databases but differ in their approach, features, and target audience. Compare their GitHub stats, technology stack, and community adoption to make the best choice.

Which is better: Apache Druid or TimescaleDb?

The choice between Apache Druid and TimescaleDb depends on your specific needs, technical requirements, and team preferences. Both are quality open source solutions with active communities.

Can I migrate from Apache Druid to TimescaleDb?

Migration between Apache Druid and TimescaleDb is possible but requires careful planning. Consider data export/import capabilities, feature parity, and potential workflow changes.

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Apache Druid vs TimescaleDb

Learn how Apache Druid and TimescaleDb 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.

Apache Druid

Columnar, time-indexed analytics database built for streaming and batch data at scale, handling billions to trillions of rows with millisecond query response times.

Visit Apache Druid Read more

14,097stars+38(+0.3%)

Last 30 days

Last commit
12 hours ago
Repository age
14 years
Version
38.0.0
License
Apache-2.0
Self-hosted
Yes
Repository
apache/druid

TimescaleDb

PostgreSQL extension for time-series data with automatic partitioning, up to 95% columnar compression, continuous aggregates, and ~200 native SQL functions.

Visit TimescaleDb Read more

23,807stars+155(+0.7%)

Last 30 days

Last commit
12 hours ago
Repository age
10 years
Version
2.31.0
Self-hosted
Yes
Repository
timescaledb

Detailed Comparison

Both Apache Druid and TimescaleDb 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.

TimescaleDb wins

Community & Popularity

TimescaleDb leads in popularity with 23,807 stars vs 14,097 stars for Apache Druid. The 69% higher star count indicates stronger community adoption. In terms of developer contributions, Apache Druid has 3,815 forks, indicating strong developer engagement.

TimescaleDb wins

Growth Momentum

TimescaleDb is growing faster, adding 155 stars in the last 30 days (+0.7%) against adding 38 stars for Apache Druid (+0.3%). TimescaleDb is both larger and pulling further ahead.

Comparable

Development Activity

Both projects show recent activity, with Apache Druid last updated 12 hours ago and TimescaleDb 12 hours ago.

Comparable

Technology Stack

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 TimescaleDb leverages C, Objective-C, Perl.

Apache Druid wins

Project Maturity

Apache Druid has been in development longer, starting 14 years ago, compared to TimescaleDb which began 10 years ago. This 4.4-year head start suggests Apache Druid may have more mature features and established processes.

Apache Druid wins

Licensing

Apache Druid is licensed under Apache-2.0, while TimescaleDb's license terms are not publicly specified.

Comparable

Use Cases & Features

Both tools serve similar use cases in Time Series Databases. However, they also have distinct specializations: TimescaleDb extends into Relational Databases (SQL).

Comparable