Connectors

With the tools you already run.

dScribe connects to warehouses, pipelines, BI tools and AI surfaces such as Snowflake, Databricks, Power BI and Tableau, then refreshes their metadata automatically. It helps data teams build a catalog from existing systems rather than another system to maintain.

Connect your source systems once and dScribe crawls their metadata automatically. Scheduled refreshes keep the catalog aligned as schemas, reports and systems change.

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Warehouses and lakehouses

Where your data lives.

dScribe reads schemas, tables, columns, descriptions and usage signals. Metadata only, on a schedule you control.

  • Snowflake

    Databases, schemas, tables, views

  • 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

  • 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.

Lets grab a coffee ☕