FiloDB

About FiloDB

A distributed, columnar, versioned, and streaming database designed for real-time and batch analytics. FiloDB combines the benefits of columnar storage with streaming ingestion, making it suitable for time-series and event data workloads.

Key Features

• 1Distributed time-series database optimized for Prometheus-style metrics
• 2Column-oriented storage using Apache Parquet encoding for compression
• 3Built on Apache Cassandra for distributed storage and replication
• 4Supports PromQL for querying metrics alongside native Scala/Java API
• 5Chunk-based storage with configurable retention and downsampling

How Python Data Engineers Use FiloDB

Python data engineers working in observability infrastructure use FiloDB as a long-term storage backend for Prometheus metrics. Python scripts query FiloDB via its HTTP API to pull historical metric data for anomaly detection models or SLA reporting — enabling ML-driven monitoring use cases that require more data history than Prometheus retains locally.