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# Grafana Phlare is a New Scalable Open-Source Database to Enhance Observability
- URL: https://itsfoss.com/news/grafana-phlare/
- Published: 2022-11-03T10:39:09.000Z
- Updated: 2022-11-03T10:42:28.000Z
- Description: Grafana Phlare aims to be a scalable, durable, cheap, and open-source database for continuous profiling data.
- Author: Sourav Rudra
- Tags: Open Source, News, #Import 2025-11-08 21:15

[Grafana](https://grafana.com/grafana/?ref=itsfoss.com) is a popular open-source data visualization tool that supports various object storage and cloud services.

To improve on what they offer, Grafana has announced a **new open-source database for continuous profiling data** that helps enhance the monitoring of servers (or your application), making life easier for performance engineers and enterprises.

## Open Source Database for Continuous Profiling

Credits: Grafana Labs

💡

Continuous Profiling is a dynamic method of analyzing key performance metrics of a server, such as CPU utilization, memory usage, and more, at any period of time.

Grafana Phlare is a highly scalable database that aims to provide users with a long-term storage solution for continuous profiling data.

The core features involve:

- **Easy to install**
- **Horizontal scalability**
- **High availability**
- **Cheap, durable profile storage**
- **Natively multi-tenant (enabling independent teams to share the same database)**

You would say that: there are already a few similar open-source projects. And you wouldn't be wrong.

But, the team behind Phlare mentioned that those tools were not reliable or scalable enough to meet Grafana Labs' continuous profiling needs. 

> So we decided to get to work creating a database for continuous profiling telemetry, based on the design principles that have made our other open source observability backends, Loki, Tempo, and Mimir, so successful: horizontally scalable architecture and use of object storage.  
>  
> \- Cyril Tovena, Software Engineer at Grafana

As for the technical tidbits of Phlare, it uses object storage to store profiling data and supports various object storage services such as[ Amazon S3](https://aws.amazon.com/s3/?ref=itsfoss.com), [Google Cloud Storage](https://cloud.google.com/storage?ref=itsfoss.com), [OpenStack Swift](https://github.com/openstack/swift?ref=itsfoss.com), and more.

Also, *Cyril* mentions that Grafana Phlare is incredibly easy to install:

> It’s easy to install with just one binary and no additional dependencies, just like [Prometheus](https://grafana.com/oss/prometheus/?pg=blog&plcmt=body-txt&ref=itsfoss.com).

![grafana phlare](https://itsfoss.com/content/images/2022/11/Grafana-2.png)

Credits: Grafana Labs

**Furthermore**, it can natively integrate with Grafana to show users a detailed view of the whole stack and includes various observability signals such as metrics, logs, and traces.

To complement Phlare, the team also added a new Flame graph panel to better visualize system resources data via various data sources.

![grafana phlare flame graph panel](https://itsfoss.com/content/images/2022/11/Grafana.png)

Credits: Grafana Labs

**As a bonus**, Grafana also announced a data source plugin for another open-source continuous profiler called '[Parca](https://www.parca.dev/?ref=itsfoss.com)'.

## 👨‍💻 Try Grafana Phlare

Grafana Phlare is made available as a single binary and can be procured from the official [GitHub repository](https://github.com/grafana/phlare?ref=itsfoss.com).

You may want to review its [official documentation](https://grafana.com/docs/phlare/latest/?ref=itsfoss.com) to learn more about it.