RRDtool
RRDtool: A focused self-hosted tool for fixed-size metric archives, consolidation, and graphing. Ranked #20 of 36 in Time-Series Databases by our editors (7.0/10); pricing: Free plan; best for lightweight archival monitoring metrics.
At a glance
- Editor score7.0 / 10
- PricingFree plan
- Best forLightweight archival monitoring metrics
- Free planYes
- Paid fromNone
- DeploymentSelf_hosted
- Facts checked22 Sep 2026
Where it wins
- Free open-source deployment with configurable Round Robin retention
- Graphing, consolidation, forecasting archives, and anomaly detection components
- Bindings for Perl, Python, Ruby, Lua, and Tcl, plus optional rrdcached
Where it doesn't
- Self-hosted deployment requires users to manage the software and infrastructure
- Fixed-size archives discard older data as retention windows wrap
- Horizontal scaling is not established in the published documentation
Our verdict on RRDtool
RRDtool is an open-source system for logging, consolidating, analyzing, and graphing time-series data. It is designed for self-hosted deployment on Linux and Windows, making it a fit for teams that need lightweight archival monitoring metrics rather than a hosted database service. Measurements are written through timestamped updates and stored in fixed-size Round Robin Archives, with configurable data-source types, ranges, heartbeat intervals, retention, and consolidation. The project dates to 1999 and includes command-line tools, a C library, language bindings, and shell-script integration options.
Its strongest technical fit is controlled retention. Consolidation functions include average, minimum, maximum, and last value, while graph generation can draw from one or more RRD files. XML dump, restore, fetch, export, and database inspection commands support administration and data handling. Optional rrdcached batching can reduce I/O pressure for higher-volume update workloads. Aberrant-behavior detection components and forecasting archives extend the tool beyond basic storage, although the overall design remains centered on archived measurements and generated graphs.
RRDtool also fits an ecosystem built around scripting and established language runtimes: bindings are available for Perl, Python, Ruby, Lua, and Tcl, and libdbi-compatible SQL data sources can provide external data for graphing. That SQL capability does not make RRD files a general SQL-queryable database. Teams should choose RRDtool when self-hosting, fixed retention, and compact archival workflows are priorities. A different time-series system may be more suitable when the requirement is hosted operation, general SQL querying over native data, or verified horizontal scaling.
RRDtool pricing
RRDtool fact sheet
| Free plan | Yes |
|---|---|
| Paid from | None |
| Deployment | Self_hosted |
| SQL support | Not verified |
| Retention policies | Yes |
| Horizontal scaling | Not verified |
| Query languages | Not verified |
| Ingestion methods | command line; standard-input pipes; Perl; Python; Ruby; Lua; Tcl |
| Deployment | Self-hosted, Desktop |
| Platforms | Windows, Linux |
| Support | Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | oss.oetiker.ch |
| Facts checked | 22 Sep 2026 |
Alternatives to RRDtool
- Apache IoTDBA focused open-source choice for high-volume IoT ingestion, SQL, retention, and scaling.9.3
- Amazon TimestreamA managed AWS option with flexible ingestion, retention, SQL, and InfluxDB support.9.1
- LindormTSDBA broad compatibility layer for teams managing scalable telemetry and metrics workloads.9.0
See all RRDtool alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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