filodb/FiloDB

Health v2 · maintenance only

Adoption not part of the score

1467 stars · 239 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

FiloDB is a distributed, in-memory, Prometheus-compatible time series database written in Scala, designed for real-time ingestion of metrics and events at massive scale. It supports PromQL queries, Kafka-based ingestion, first-class histograms, and Grafana integration.

Use cases

• store and query Prometheus metrics at large scale
• real-time operational metrics ingestion from Kafka
• query time series data with PromQL from Grafana
• run a horizontally scalable metrics backend
• analyze high-cardinality histograms of application metrics
• ingest event and time series data into a multi-schema database

When to choose

• you need a distributed, horizontally scalable Prometheus-compatible TSDB
• you ingest metrics via Kafka and need real-time in-memory queries
• you need first-class histogram support and PromQL extensions
• you want Grafana dashboards backed by a scalable metrics store

When to avoid

• you just need a simple single-node Prometheus setup
• your workload is small and vanilla Prometheus suffices
• you need long-term archival storage on disk rather than in-memory
• you require a non-JVM or lightweight embedded database

Facets

service · maturity active

database monitoring streaming search-engine databases monitoring time-series big-data jvm self-hosted time-series-database prometheus-compatible promql in-memory kafka-ingestion grafana distributed-database metrics-storage devops docker kubernetes linux

Member repositories

For agents

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