Dataspaces and Datasets
One stream in. Structured, governed, AI-native data out.
A data layer that makes agents precise, queries faster, and governance scalable.
See this new architecture in action
Join Lior Redlus, co-founder at Coralogix, and Noam Sheffi, Product Manager, on July 16th to see how Dataspaces and Datasets help you shape your data so dashboards get faster, AI gets more precise, and costs go down. Featuring real-world use cases from customers and TAMs.
Common pain points
AI doesn’t fix data chaos. It inherits it
Without structure, telemetry is obscure, chaotic, and AI agents scan vast, opaque data. Intelligence won’t compensate for missing structure.
Performance Bottlenecks
Dashboards slow as data grows. Queries scan huge swaths of data to stay percise.
Lost Analysis
Every query result vanishes the moment it finishes running. Teams re-run the same expensive aggregations daily.
Permission Complexity
Governance is blunt and hard to scale. No way to scope access, retention, or policies per team.
Unclear Cost Attribution
No one knows which team or service is driving ingestion
The Structural layer
Dataspaces and Datasets
A data layer that gives teams and AI structured control over how observability data is organized, routed, secured, and billed
Logical containers
Dataspaces
- Structured containers that provide organization
- Centralized control layer for Datasets
Retention 
Permissions 
Quota Delivers
Related data collections
Datasets
- Collections of tightly scoped data within a Dataspace
- Segmented by team, service, or environment
Storage 
Schema 
Retention 
Permissions 
Quota Delivers
What structured data delivers
From raw events to governed, contextual data, without changing your pipeline
Agents that understand your data and processes
- Precise context from scoped, self-describing datasets
- Domain-aggregated answers instead of terabytes of raw events to parse
- One layer, sharper answers, fewer token
Dashboards that stay fast as you scale, not slower
- Scoped datasets mean queries scan less and return faster
- Summary datasets turn terabyte aggregations into reusable assets
- Dashboards that stay fast as data grows
Data that reflects your org structure
- Per-dataset access controls and infrastructure-level enforcement
- Assign quotas per team for better ingest control
- Per-release cost attribution with daily breakdowns and enforceable limits
Your AI is only as good
as your data architecture
Coralogix structures your telemetry. Organize it by source, schema, health, alerts, audit, expose as first-class entities your AI agents and engineers in your organization.
Platform uptime
Alert detection time
Data ingestion capacity
