FiloDB
6.0#21 in time-series databasesFree planFree planAPILinuxmacOSSelf-hosted
VisitFiloDB vs InfluxDB
What both publish
| Fact | FiloDB | InfluxDB |
|---|---|---|
| Integrations | The README describes using FiloDB as a Grafana data source through its Prometheus-compatible HTTP API and identifies Cassandra as its persistence store. | InfluxDB connects to data sources through 400+ pre-built Telegraf plugins and has official client libraries including Python, JavaScript, Go, Java, and C#. |
| Querying | FiloDB supports PromQL through an HTTP API and CLI, and the README says its PromQL support is about 60%. | InfluxDB 3 supports native SQL alongside InfluxQL and includes a built-in Python processing engine. |
| Storage | Columnar compression and off-heap memory management help it store substantial data in memory while reducing garbage collection. | InfluxDB 3 stores data as compressed Parquet files in object storage with S3 API compatibility. |
| Support | The repository invites contributions; it does not state a paid support plan on the README page. | InfluxDB 3 Core is community supported, while Enterprise and Cloud Dedicated include a technical support SLA. |
| Use cases | Documented uses include operational metrics, distributed tracing storage, ad-hoc application-metric debugging, and real-time event storage and querying. | InfluxData describes InfluxDB as supporting industrial operations, observability platforms, and AI applications that need real-time data. |
FiloDB plans
- FiloDBFree
InfluxDB plans
- Cloud Serverless - Data InFree
- Cloud Serverless - Query Count$0.01 a month
- Cloud Serverless - StorageFree
- Cloud Serverless - Data Out$0.09 a month
- Cloud ServerlessFree
- InfluxDB 3 CoreFree
Pick FiloDB if…
FiloDB suits teams managing real-time operational metrics, distributed tracing, application-metric debugging, or event data. It is for teams prepared to run and build a self-managed cluster with its listed dependencies.
Pick InfluxDB if…
InfluxDB suits teams handling timestamped data for industrial operations, observability, or AI applications. Core is intended for local development, prototyping, and edge deployments; managed and enterprise options serve other deployment needs.