A centralized metadata platform to discover, govern, and observe every data asset in your organization. One graph to connect them all.
Datasets live across warehouses, lakes, dashboards, and ML pipelines — but nobody owns the full picture. Engineers grep Slack for table owners, analysts guess at freshness, and governance is a spreadsheet. Without a centralized metadata layer, discovery is broken and lineage is invisible.
Trace data flows from ingestion to dashboard. Understand upstream dependencies and downstream impact before making changes.
Auto-propagate descriptions, tags, and glossary terms across your metadata graph. Less manual work, more consistency.
Native connectors for Snowflake, BigQuery, dbt, Airflow, Kafka, Spark, and the rest of your stack.
Surface freshness, volume, and schema assertions directly on your datasets. Know what's broken before your stakeholders do.
Define granular policies per domain, dataset, or entity type. LDAP, OIDC, and SSO supported out of the box.
Every dataset, pipeline, dashboard, and ML model — connected in a single, searchable knowledge graph.
Extensible, scalable, and designed to run where your data already lives.
{
"event": "schema_change",
"table": "users",
"action": "column_added",
"details": {
"column": "last_login",
"type": "TIMESTAMP"
}
}Point Reis DGP at your warehouses, orchestrators, and BI tools using pre-built connectors.
Metadata is ingested continuously — schemas, lineage, ownership, and tags flow into a unified graph.
Your team searches, annotates, and monitors data assets from a single pane. Context is always up to date.