Understand the database before writing SQL
Move through databases, schemas, tables, and views; inspect columns and constraints; read view definitions; and follow relationships without reconstructing the system from scattered queries.
Your PostgreSQL client should help the whole team move the work forward.
Explore PostgreSQL databases, schemas, tables, and views, run and analyze SQL, work with records, and keep the result connected to the pipelines, lineage, models, and tools your team builds next.
- Type
- Relational database
- Explore
- Database → schema → table or view
- Connect with
- Hostname or PostgreSQL URL, database, credentials, search path, port, and TLS options
What WhoDB lets your team do with PostgreSQL
Move from exploring PostgreSQL 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.
Query and analyze with PostgreSQL itself
Run native PostgreSQL SQL, stream results, execute multi-statement scripts, and use EXPLAIN or EXPLAIN ANALYZE when a query needs more than a quick result.
Handle practical data work
Create database objects, add and update records, delete data, import datasets, and generate relationally aware mock data from the same source workspace.
Keep the full data path visible
Turn explored PostgreSQL data into visual transformations, traceable lineage, shared business models, reusable functions, internal apps, and permission-aware AI workflows.
From connected data to a workflow people can trust
Connect in place
Use a hostname or PostgreSQL URL and keep the source where it already runs, including supported cloud-hosted PostgreSQL services.
Investigate with full context
Start at metadata, move into live records, run SQL, and inspect query plans without losing the schema and relationship context around the question.
Build a repeatable workflow
Replace one-off query handoffs with visual transformations, managed datasets, schedules, run history, and ownership inside a shared project.
Turn the result into something useful
Follow downstream impact, model business concepts, and turn approved project data into apps or functions people can actually use.
More than a PostgreSQL GUI
A traditional PostgreSQL client is excellent when the job begins and ends with database administration or SQL. WhoDB keeps that familiar work available, then preserves its context as the question becomes a pipeline, a recurring operation, a lineage investigation, or an internal tool.
That makes WhoDB especially useful when PostgreSQL is important but not isolated—when the same team also works with warehouses, document stores, files, cloud services, and business systems and needs one place to understand how the pieces affect each other.
WhoDB is a strong fit for
- Data and platform teams operating shared PostgreSQL systems
- Teams replacing SQL handoffs and spreadsheet-based operations
- Investigations that must continue into lineage or impact analysis
- Organizations building governed tools on existing PostgreSQL data
PostgreSQL integration questions
Straight answers about setup, everyday tasks, and how WhoDB fits into your workflow.
Can WhoDB connect using a PostgreSQL URL?
Yes. Connect with a hostname or PostgreSQL connection URL, along with database credentials, an optional search path, port, and supported TLS settings.
Does WhoDB support PostgreSQL EXPLAIN ANALYZE?
Yes. Run EXPLAIN or EXPLAIN ANALYZE in WhoDB to understand how PostgreSQL executes a query and find opportunities to improve performance.
Can teams edit and import PostgreSQL data in WhoDB?
Yes. Teams can create objects, read and edit table data, import datasets, delete records, and generate relationally aware mock data when their PostgreSQL permissions allow it.
Does WhoDB move PostgreSQL data into another database first?
No. WhoDB connects to PostgreSQL in place for exploration and native querying. Teams can then create project datasets or transformations when the workflow actually calls for them.
Explore another source
Give your team one place to explore, understand, and build with data across the systems you already use.
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