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SQLite

Connect a SQLite database file for federated analysis. The file's tables are mounted into the query engine and can be joined with datasets from other connectors.

When to use

  • A self-contained SQLite database exported from an application.
  • A lightweight analytical dataset distributed as a single .sqlite / .db file.

How the file is provided

SQLite is a single-file database, so Datyo needs access to that file. Two modes are available depending on where you run Datyo:

  • Object storage (managed service): the file lives in an S3-compatible bucket, and Datyo reads it using the storage credentials you provide. This is the mode used on datyo.ai.
  • Local file path (desktop / self-hosted): the connector reads the file directly from a filesystem path. This mode is not available on the managed service — see Managed vs. self-hosted.

For a one-off file, the file upload flow is often simpler than configuring object storage.

Connection settings

Object-storage mode

Provide the object-storage access credentials — vendor preset, endpoint, region, access keys, URL style, SSL — plus:

FieldRequiredDescription
BucketYesThe bucket that holds the database file.
Object pathYesThe key of the file within the bucket, e.g. data/app.sqlite.

Local file path (desktop / self-hosted)

FieldRequiredDescription
File pathYesAbsolute path to the .sqlite / .db file in the environment where Datyo runs.

Capabilities

  • Execution model: Federated. SQLite tables can be joined with datasets from other connectors.
  • Access: Read-only. The file is opened without modification.
  • Views: Both tables and views defined in the file are available for import.
  • Environment: Object-storage mode works everywhere; local file path is desktop / self-hosted only.

Troubleshooting

  • File not found or empty — verify the bucket and object path (or the local file path) and that the credentials grant read access to that object.
  • A view is missing — re-sync; both tables and views are listed once the file is read.

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