Dataspaces and Datasets are here: From data chaos to structured, governed observability

Coralogix has introduced Dataspaces and Datasets as a solution to organize, route, and secure observability data more effectively without altering how telemetry is sent. This system allows for logical segmentation, where a Dataspace acts as a structured container for managing data organization and policy, and a Dataset is a governed collection with its own schema, access controls, and retention policies. The platform enhances performance by enabling scoped datasets that reduce query scan times, offers governance by mirroring organizational structures, and promotes efficiency through detailed cost attribution and pre-aggregated data for faster dashboard loading. Additionally, the platform supports AI precision by providing clean schemas and scoped contexts for data analysis. User-defined datasets can be configured programmatically or through expressions, allowing for flexible data routing and persistent query results, making the observability platform more robust and reliable.