Logto – Modern auth infrastructure for developers. Add multi-tenancy, enterprise SSO, and RBAC to your SaaS or AI apps.Learn how Apache IoTDB 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.
TimescaleDb appears to have several advantages over Apache IoTDB, particularly in popularity, growth and maturity. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
TimescaleDb significantly outpaces Apache IoTDB in community adoption with 23,334 stars compared to 6,379 stars on GitHub. This 3.7x difference suggests TimescaleDb has a much larger and more active community. In terms of developer contributions, Apache IoTDB has 1,152 forks, indicating strong developer engagement.
TimescaleDb is growing faster, adding 217 stars in the last 30 days (+0.9%) against adding 10 stars for Apache IoTDB (+0.2%). TimescaleDb is both larger and pulling further ahead.
Both projects show recent activity, with Apache IoTDB last updated 7 hours ago and TimescaleDb 1 day ago.
Both tools share common technology foundations, being built with Bash, Python, C, Objective-C. However, they differ in their additional technology choices: Apache IoTDB uses Java, C++, C# while TimescaleDb leverages Perl.
TimescaleDb has been in development longer, starting 9 years ago, compared to Apache IoTDB which began 8 years ago. This 1.7-year head start suggests TimescaleDb may have more mature features and established processes.
Apache IoTDB is licensed under Apache-2.0, while TimescaleDb's license terms are not publicly specified.
Both tools serve similar use cases in Time Series Databases. However, they also have distinct specializations: TimescaleDb extends into Relational Databases (SQL).
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