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.
Last 30 days
Last commit
Repository age
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Self-hosted
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Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

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 23,465 stars and VictoriaMetrics having 17,659 stars on GitHub. In terms of developer contributions, VictoriaMetrics has 1,730 forks, indicating strong developer engagement.
TimescaleDb and VictoriaMetrics are moving at much the same rate, adding 219 stars and adding 177 stars respectively over the last 30 days (+0.9% vs +1%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with TimescaleDb last updated 1 day ago and VictoriaMetrics 2 days 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 10 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.
Both TimescaleDb and VictoriaMetrics offer self-hosting capabilities, giving you full control over your data and infrastructure.