FiloDB vs Warp 10
FiloDB
github.com
Warp 10
warp10.ioSide by side
| Figure | FiloDB | Warp 10 |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Time-Series Databases | 8.1 (#12) | 8.1 (#16) |
| Deployment | FiloDB is deployed as standalone processes in a cluster and requires Java, Cassandra, Kafka, Rust, and a C compiler to build; SBT is also listed as a build prerequisite. | Warp 10 is available in Standalone, Standalone+, and Distributed versions; the versions differ mainly in how the storage engine is implemented. |
| Integrations | The README describes using FiloDB as a Grafana data source through its Prometheus-compatible HTTP API and identifies Cassandra as its persistence store. | The platform can fetch data from SQL and NoSQL databases, document stores, other time series databases, and monitoring platforms. |
| Product | FiloDB is an open-source distributed, real-time, in-memory time-series, event, and operational database with Prometheus query support. | Warp 10 describes itself as a time series platform for storing and analyzing time series and Geo Time Series data. |
| Support | The repository invites contributions; it does not state a paid support plan on the README page. | Warp 10 documentation directs users to its community Slack to report issues or missing documentation. |
Plans
In their own words
FiloDB
FiloDB is a free, Apache-2.0 open-source database for distributed, real-time time-series, event, and operational data. It is designed to ingest and query many millions of time series, sharding data across processes with distributed querying. Columnar compression and off-heap memory management support substantial in-memory storage while reducing garbage collection. PromQL is available through an HTTP API and command-line interface; the README describes support as about 60%. Histograms are a first-class column type, with the project reporting possible compression and query-speed improvements of up to two orders of magnitude. Typical ingestion uses Apache Kafka, while the Gateway accepts Influx Line Protocol over TCP. Grafana can connect through the Prometheus-compatible API, and Cassandra is identified as the persistence store. Deployment uses clustered standalone processes and requires Java, Cassandra, Kafka, Rust, a C compiler, and SBT to build.
Warp 10
Warp 10 is a free, open-source platform for collecting, storing, and analyzing time series and Geo Time Series data, including sensor data. It runs as a server that accepts HTTP requests for ingestion and WarpScript execution, and supports API, Linux, macOS, web, Windows, and self-hosted deployments. The platform is available in Standalone, Standalone+, and Distributed versions whose main difference is storage-engine implementation. Standalone uses LevelDB and is described as suitable for a few tens of millions of time series and a few hundreds of billions of datapoints; larger needs are directed to Distributed, which uses FoundationDB. Warp 10 includes more than 1,300 time-series functions. Installation can use binaries on your infrastructure or a Docker image containing Warp 10, WarpStudio, and Sensision. Integrations include Jupyter, Zeppelin, Spark, Flink, MQTT, BACNet, NodeRed, NiFi, SQL and NoSQL sources, Grafana, and PowerBI. Ingestion supports HTTP POST, WebSocket, UDP, MQTT, and Kafka. Cryptographic READ and WRITE tokens control access, and metadata encryption is enabled by default.