Connectors, Ingestion & Data Modelling
A pluggable connector framework with a 309-type source catalogue, scheduled extract-and-load ingestion, dbt-style transforms and multi-source datasets with materialization.
309 source types, and a modelling layer behind them.
Meet the data where it already lives.
The connector framework is pluggable with a catalogue of 309 source types across databases, files and remote services. Extract-and-load jobs bring them in on a schedule; a dbt-style transform layer models the raw material into datasets; datasets can draw on multiple sources and be materialised where query performance requires it. Templates let a working pattern be reused instead of rebuilt for the next team.
- 309-type connector catalogue — databases, files and remote sources
- Scheduled extract-and-load ingestion
- dbt-style transforms for modelling
- Multi-source datasets with materialization
- Dataset templates for repeatable patterns
A real place to work with a database.
The database workspace is a proper working surface: run a query, page through the results, keep the history, build a chart directly from a result set, discover the schema of a connection rather than trusting its documentation, and design schema in the same place. It exists because the step before a dashboard is always someone exploring, and that step usually happens in a different tool that nobody governs.