Integrations
The systems Datapace can read, where it opens pull requests, and how your AI reads the map over MCP. Possible integrations, agreed per platform.
These are the possible integrations. Which ones apply to your platform is agreed with your team before anything connects.
What it reads
| What | Examples |
|---|---|
| Cloud bills | AWS, Azure, Google Cloud |
| Databases | PostgreSQL (including Aurora, Cloud SQL, Neon and Supabase), MySQL, SQL Server, Oracle, Db2, MongoDB, DynamoDB, Cosmos DB, Redis, Cassandra, CockroachDB |
| Warehouses and lakehouses | Databricks, Snowflake, BigQuery, ClickHouse |
| Pipelines | dbt, Airflow, Databricks jobs |
| Dashboards | Power BI, Tableau, Looker |
| AI services | Azure OpenAI, Azure AI Search, Amazon Bedrock |
| Your own servers | Hosts and licences you allocate by hand, so a data centre sits on the same map as the cloud |
Where it proposes
- Git hosts: GitHub. Others on request.
Datapace opens pull requests. Your team reviews and merges them.
Where it serves
- MCP: any MCP client and any LLM, so your own agents and copilots read the same map.
Not on the list?
Tell us what your platform runs on. Book a call.
Last updated on October 25, 2026