Data ConnectionData foundation

Bring your data into the picture.

Give databases, files, and supported services a managed path into your data platform. Explore a source before choosing how its data is synchronized, with connection policies and credentials managed in one place.

SOURCE / DESTINATIONIllustrative workflow

Your systems, connected.

  • PostgreSQL
  • MySQL
  • MongoDB
  • Apache Kafka
  • Amazon S3
Example sourcePostgreSQL
operations
public.inventory
item_id
string
warehouse_id
string
quantity
integer
Configured synchronization
Destination datasetinventory_raw

Choose the source. Inspect the schema. Define where the data lands.

01 / OPEN THE DOOR TO YOUR DATA

The systems you use. A path they can share.

Choose a supported connector and configure the source using the fields it needs.

Explore before you import

Browse available tables and schemas to choose the data that belongs in your workflow.

Sync with visibility

Configure supported synchronization modes and inspect run history, status, and failures.

Databases

  • PostgreSQL
  • MySQL
  • SQL Server
  • MongoDB
  • Cassandra
  • Redis

Events & industrial data

  • Apache Kafka
  • InfluxDB
  • OPC-UA
  • PI System

Storage & business systems

  • Amazon S3
  • MinIO
  • SFTP
  • Odoo
  • MS Excel

A selection of supported connectors. The available setup and sync options depend on the connector.

02 / FROM SOURCE TO DATASET

Make the first connection count.

Next: prepare the data
  1. Choose the source

    Select a connector, add its connection details, and test the connection.

  2. Select the data

    Explore the source, choose the tables or files, and set a destination.

  3. Follow the sync

    Run or schedule the sync and review its result before building on the data.

Explore every part

FROM DATA TO ACTION

See the bigger picture.

Explore how the tools work together, from data to action.