Okapi – a metrics engine based on open data formats

In plain words

Okapi is an in-memory metrics engine designed to process telemetry data from modern software systems. It works with existing data lakes using open data formats rather than proprietary ones, allowing users to analyze data with standard OLAP tools like Snowflake, Databricks, and DuckDB. The system separates storage and compute, reducing vendor lock-in and operational overhead while enabling flexible scaling and custom analysis workflows.

written from the facts on this page · September 2026

From the sources

Okapi is an observability stack. It ingests telemetry using OTLP, exposes queries via PromQl, stores traces and spans. Okapi can we used to build dashboards, view metrics and store and analyze traces in distributed systems. - okapi-core/okapi-engine

In the maker’s words, at launch

Hi All I wanted to share an early preview of Okapi an in-memory metrics engine that also integrates with existing datalakes. Modern software systems produce a mammoth amount of telemetry. While we can discuss whether or not this is necessary, we can all agree that it happens. Most metrics engines today use…

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