Learn how TimescaleDb and VictoriaMetrics 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 TimescaleDb and VictoriaMetrics 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.
Both tools have similar popularity levels, with TimescaleDb having 23,334 stars and VictoriaMetrics having 17,538 stars on GitHub. In terms of developer contributions, VictoriaMetrics has 1,715 forks, indicating strong developer engagement.
TimescaleDb and VictoriaMetrics are moving at much the same rate, adding 217 stars and adding 145 stars respectively over the last 30 days (+0.9% vs +0.8%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with TimescaleDb last updated 1 day ago and VictoriaMetrics 15 hours ago.
Both tools share common technology foundations, being built with Bash, Perl. However, they differ in their additional technology choices: TimescaleDb uses Python, C, Objective-C while VictoriaMetrics leverages JavaScript, Typescript, JSX, SCSS, Golang.
TimescaleDb has been in development longer, starting 9 years ago, compared to VictoriaMetrics which began 8 years ago. This 1.6-year head start suggests TimescaleDb may have more mature features and established processes.
VictoriaMetrics 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 also focuses on Relational Databases (SQL) while VictoriaMetrics extends into Infrastructure Monitoring.
VictoriaMetrics provides self-hosting options for complete data control and customization, while TimescaleDb may be primarily cloud-based or require different deployment approaches.

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