Snowflake
Databases, schemas, tables, views
Warehouses and lakehouses
Where your data lives.
dScribe reads schemas, tables, columns, descriptions and usage signals. Metadata only, on a schedule you control.
Databricks
Unity Catalog metadata and lineage
Microsoft Fabric
Lakehouses, warehouses, semantic models
Google BigQuery
Datasets, tables, views
Amazon Athena
Glue catalog databases and tables
Amazon Redshift
Schemas, tables, views
Microsoft SQL Server
Databases, schemas, stored procedures
PostgreSQL
Schemas, tables, views
Oracle
Schemas, tables, views
Dremio
Spaces, views and reflections
SAP Datasphere
Spaces, views and analytical models
SAP HANA
Schemas, tables and calculation views
Transformation and pipelines
Where your data is shaped.
Models, tests and job metadata give the catalog the logic behind a number, not just its name.
dbt
Models, tests, descriptions, lineage
Apache Airflow
DAG and task metadata
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Fivetran
Connector and destination metadata
BI and analytics
Where questions get asked.
Reports, dashboards and measures are documented in place, so context reaches people inside the tool they already use.
Power BI
Reports, datasets, measures
Tableau
Workbooks, dashboards, data sources
SAP Analytics Cloud
Stories and models
Looker
Explores, views, dimensions
Qlik
Apps, sheets, fields
Amazon QuickSight
Dashboards, datasets and analyses
Applications and AI surfaces
Where context gets used.
The same governed context is retrieved by your own applications, assistants and agents.
Open REST API
Read and write governed context
MCP server
Retrieval for AI assistants and agents
Webhooks
Push changes into your own systems
Microsoft Teams
Search and answers in the flow of work
Microsoft SharePoint
Sites, lists and documents
Single sign-on
Entra ID, Okta and SAML providers
Roll your own connector
Source not on the list? Script it yourself.
dScribe ships a sandboxed scripting environment where you write your own metadata connector. Point it at any system that exposes an API, a database or a file drop, map the fields you care about, and schedule it like any other source.
Write the script
Fetch metadata from your source and map it onto dScribe assets, fields and relations.
Run it sandboxed
Scripts execute in an isolated runtime with scoped credentials and no access to other tenants.
Schedule refreshes
Custom connectors refresh on the same schedule engine as the built-in ones.
Or use the open API
Prefer to push instead of pull? Send metadata to dScribe from any system that can call an endpoint.
Something missing?
The metadata loader is built to be extended, and the open API lets you push metadata from any system that can call an endpoint. Tell us which source you need and we will walk through the options.
Let's check your stack together.
A short conversation about your sources, users and AI initiatives.