DQC

Supported data sources

The DQC Platform supports both structured and semi-structured data across a wide range of source types. You can connect your data easily — without writing code — by using the built-in Integrations feature.

Data warehouses

  • Snowflake

  • Azure Synapse

  • Google BigQuery

  • Databricks

  • Amazon Redshift

  • MotherDuck

  • (and more)

These are ideal for large-scale, analytics-optimized data environments.

Databases

  • PostgreSQL

  • MySQL

  • MariaDB

  • SAP HANA

  • Azure SQL

  • OData (SAP, ...)

  • Clickhouse

  • Oracle Database

  • Apache Impala

  • IBM DB2 (coming soon)

The DQC Platform supports real-time and batch validation against common OLAP and OLTP database systems.

Static files

  • CSV

  • Parquet

  • Excel

  • JSON

  • PDF

These formats can be uploaded manually or synchronized via storage connectors. Useful for ad-hoc checks or external data feeds.

Cloud storage

  • AWS S3

  • Azure Blob

Use these connectors to import files from cloud buckets or share results externally.

Collaboration & document management

  • SharePoint

Connect Microsoft 365 collaboration platforms and read structured content (such as SharePoint lists) directly into DQC.

ERP, CRM, ...

Use these connectors to import files from cloud buckets or share results externally.

Missing a connector?

If your desired data source is not listed:

  • Reach out to info@dqc.ai

    We’re continuously expanding our integrations based on demand.

💡 Notes