Coralogix is launching Dataspaces and Datasets, a structured data layer for observability that lets teams organize, route, secure, and bill telemetry data without changing how it's sent. Key features include user-defined streaming datasets with expression-driven routing via DataPrime, summary datasets that persist query results as reusable pre-aggregated data, per-dataset governance with access controls and retention policies, per-dataset cost attribution, and a system dataspace exposing platform telemetry as queryable datasets. The feature is live now and aims to replace undifferentiated telemetry pools with structured, governed data that improves query performance, compliance, cost tracking, and AI agent precision.
Table of contents
What structured data deliversTwo ways to shape your dataYour observability platform as queryable dataWhat you can do todayAvailable now162 Impressions