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Introducing ClickHouse's new TimeSeries Engine: Your drop-In Prometheus replacement
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ClickHouse's TimeSeries Engine allows seamless storage and querying of Prometheus metrics using the familiar PromQL syntax.
This development enables teams to consolidate their logging and metrics storage into ClickHouse, reducing the complexity of managing multiple systems. By supporting PromQL, ClickHouse allows existing Prometheus users to easily transition without altering their current querying practices, potentially increasing efficiency and reducing operational overhead.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
ClickHouse's new TimeSeries Engine supports storing Prometheus metrics in a dedicated table designed for time-series data.
Users can query these metrics using PromQL, the same language they use in Prometheus, without rewriting queries.
The integration allows teams to manage logs, traces, and metrics in one place, streamlining observability.
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The introduction of ClickHouse's TimeSeries Engine represents a significant shift for teams using Prometheus, allowing them to store and query metrics in a unified environment. This integration minimizes the friction of transitioning to a new system while leveraging existing knowledge of PromQL.
Adopting this new engine could result in reduced operational costs as teams no longer need to maintain separate systems for logs and metrics. The ability to use familiar PromQL syntax eliminates the learning curve and potential errors from rewriting queries in SQL.
However, the TimeSeries Engine will only operate effectively within the ClickHouse Cloud environment. Teams currently using on-premises ClickHouse installations or other cloud services may face challenges in migrating their infrastructure or adapting to the new system.
The private preview phase suggests that some features may still be under development, and users will need to evaluate the engine's performance and reliability in real-world applications. This cautious rollout allows ClickHouse to gather user feedback before full-scale deployment.
Ultimately, this development reflects ClickHouse's commitment to enhancing observability tools, but its long-term success will depend on user adoption and the ability to address any technical limitations that arise.
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