Databucket vs Tonic Structural

Databucket is an open-source tool for managing test data and metadata across projects, environments, and integrated tools. It stores changing test data in elastic structures and can keep configuration parameters separate from application code. Its multi-tenant client-server architecture is accessed through a RESTful API and deployed self-hosted. Projects can isolate both data and user access. Two permission tiers cover user rules and artifacts such as groups, buckets, and views. Search supports property queries, standard filtering, and extensive filtering. History records creation and modification, while reservations control access and can hide orphaned data. Bulk tasks can modify or delete multiple datasets. Databucket is listed as free at free and uses an MIT license. Setup requires Java 17 and NodeJS 18. Support is available through GitHub tasks or a Slack channel. The wiki presents it for people who use or administer Databucket.

Tonic Structural has no write-up on Specifiction yet; its figures are above.