Introduction
DataRecs is an enterprise platform for automated data reconciliation. It connects to your data sources, extracts the data you map, and compares results across sources to identify discrepancies.
Key concepts
Section titled “Key concepts”- Workspaces — groupings for organising your reconciliation resources and delegating access within your account.
- Connections — encrypted references to your data sources (PostgreSQL, MySQL, Oracle, DB2, SQL Server, BigQuery, Google Sheets, and more).
- Reconciliation Jobs — configurable checks that extract and compare data across two connections.
How you can interact with DataRecs
Section titled “How you can interact with DataRecs”| Interface | Best for |
|---|---|
| Console (Web UI) | Visual management, exploring results, onboarding |
| DataRecs CLI | Scripting, CI/CD pipelines, power users |
| Model Context Protocol (MCP) | Connecting AI tools to your tenant, locally or over the network |
| Terraform Provider | Infrastructure-as-Code, GitOps workflows |
| REST API | Custom integrations, programmatic access |
Next steps
Section titled “Next steps”- Quickstart — get up and running in minutes.
- Concepts — understand the core building blocks.