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Data sources

Iceberg / Delta

Connect Iceberg / Delta to Queringo. Setup, fields, testing, editing, and alternatives.

Updated May 27, 2026

Open table formats on object storage.

Connect Iceberg / Delta form in Queringo

At a glance

CategoryData lakes
AuthCredentials
PlanScale and above

Setup

  1. Open Connect source

    In the app, go to Data sources and choose Connect source. Open the Data lakes tab and select Iceberg / Delta.

  2. Enter connection details

    Provide the host, database name, and a read-only user and password. Enable SSL/TLS if your database requires it, or configure an SSH tunnel for a private network.

  3. Save the connection

    Queringo tests the connection before saving, then discovers the schema. PII is flagged and masked by default during discovery.

Where to find these in your provider

  1. Confirm your tables are written in Iceberg or Delta format on S3, ADLS Gen2, or GCS.
  2. Provide an access principal (IAM user/role or service principal) with read access to the bucket and the catalog metadata.
  3. Paste the catalog endpoint (Glue, Hive Metastore, or REST catalog), the bucket, and the credentials into the connection form.

Test the connection

Queringo runs a connection test as part of saving. If it fails, the error message indicates what to check (credentials, network reachability, or scope). From Data sources, you can re-run Test connection on the source row any time, for example after rotating a secret or changing network rules.

Edit or rotate

To change connection details (host, port, or database), open the source from Data sources and edit it. To swap only the secret (password, key file, or token), use Rotate credentials so existing dashboards and alerts keep working. See Rotating credentials.

Reference

Suggest a different connector

Don't see what you need? In the Connect a data source picker, choose Request it. Queringo bundles votes from every workspace asking for the same one and prioritizes accordingly.

What's next

For the category overview and shared options, see Data lakes. To keep sources healthy, see Managing sources.