Browse Elasticsearch as a search system
Move through indexes and documents using views designed for search data rather than translating everything into relational database concepts.
Browse indexes, inspect sampled fields, review documents in grid or JSON form, and make focused changes while keeping Elasticsearch beside the systems that depend on it.
Move from exploring Elasticsearch to building useful workflows, shared tools, and trusted data products—all without losing the context behind the work.
Updated August 25, 2026. Available actions depend on the permissions granted to your connected account.
Move through indexes and documents using views designed for search data rather than translating everything into relational database concepts.
Inspect sampled fields and types while keeping it clear that the result describes observed documents, not a rigid table schema.
Switch between grid, JSON, and metadata views to inspect the same index from the perspective the task requires.
Create, update, and delete documents when the connected Elasticsearch account has permission.
Use the hostname, optional credentials, port, and supported TLS settings for the existing cluster.
Browse available indexes, inspect sampled metadata, and review documents before changing anything.
Use a quick grid for scanning or the JSON representation when the exact document structure matters.
Place Elasticsearch beside the databases, data, and tools that feed it or rely on it, making operational work easier to coordinate.
WhoDB gives teams a focused way to browse indexes, inspect documents, understand sampled fields, and make permitted document changes without pretending Elasticsearch behaves like a SQL database.
Its value grows when Elasticsearch is one part of a larger system: the search deployment can live beside related sources, ownership, and downstream work in the same project.
Straight answers about setup, everyday tasks, and how WhoDB fits into your workflow.
WhoDB lets teams browse indexes, inspect sampled field metadata, and review documents in grid, JSON, or metadata views.
Yes. Teams can create, update, and delete documents when the connected account has the required permissions.
No. WhoDB treats Elasticsearch as a search and document system. The current experience focuses on index browsing, document inspection, editing, deletion, and relationships.
Yes. OpenSearch is available as a compatible source type and uses the same focused index and document workflow.
Give your team one place to explore, understand, and build with data across the systems you already use.
Use WhoDB as a PostgreSQL GUI and shared data workspace for SQL, EXPLAIN ANALYZE, record editing, imports, mock data, lineage, pipelines, and AI-assisted work.
Use WhoDB as a MySQL GUI and data workspace for schema exploration, native SQL, record editing, imports, mock data, visual pipelines, lineage, apps, and AI.
Use WhoDB as a MongoDB GUI for collections, documents, sampled schema metadata, editing, mock data, relationship context, visual workflows, and lineage.