Use cases
For data analysts and scientists
- Express cleaning, deduplication and linking as one plan you can iterate on, instead of a pile of notebook cells
- Measure whether a change actually improved the match, against judgements or known truth
- Re-run cheaply. Collecting again only redoes the work whose inputs changed
Install
For data architects and engineers
- Reconcile entities across disparate sources without moving the data anywhere
- Compare methodologies on equal terms rather than by argument
- Take the plan an analyst built and run it operationally. It's the same object
- Provide the entities a semantic layer is built from
Build a plan
For service owners
- Understand the broader business entities in your service, not just the records you hold
- Resolve a single key against every other source you match against, offline and fast
- Keep the output stable enough for other services to depend on
Query the result