A companion to pgAdmin for database work done with your AI agent.
pgAdmin is the official Postgres administration console, and it is very good at that job. Keep it. Valv does a different job next to it. You ask a question in plain language. Your own AI agent finds the permitted schema, runs read-only queries, cites them in the answer, and can turn the result into a live dashboard. Valv also works across MySQL, SQLite, and ClickHouse, not only Postgres.
Not a Postgres DBA console. A place for questions you would rather ask than write as SQL.
Use each tool for the job it does best.
These tools do different jobs. pgAdmin is for administering one Postgres server by hand. Valv is for asking an agent questions across several databases.
Use pgAdmin if you administer Postgres by hand.
pgAdmin is the official, free platform for PostgreSQL. It covers server, role, and tablespace management, backups and restores through pg_dump and pg_restore, VACUUM, the grant wizard, a full query tool, a data editor, an ERD tool, and server dashboards. Run it as a desktop app or in server mode.
- Postgres is your only engine and administration is the daily work.
- You run backups, tune performance, manage grants, and watch server activity.
- Your query tool is the center of the job.
Check the official pgAdmin project.
Use Valv when the agent writes the query.
Valv puts the coding agent inside the database workspace. The agent gets read-only database tools, the app records its tool calls and query results, and useful outputs can become files that survive the chat.
- You ask questions in plain language more often than you start with SQL.
- You need table and column controls for agent access.
- You work across Postgres, MySQL, SQLite, and ClickHouse in one workspace.
Valv has a read-only table viewer, not a SQL editor. Keep pgAdmin for writing SQL and administering Postgres.
The same question takes a different path.
pgAdmin gives you excellent tools to write and run the statement. Valv makes the agent's database work inspectable and reusable.
A manual pgAdmin workflow
- 1
Connect to the Postgres server and open the object tree.
- 2
Write SQL in the query tool with autocomplete and history.
- 3
Run the statement and read the result grid.
- 4
Edit rows, export, or open a server dashboard to check activity.
An agent-led Valv workflow
- 1
Ask a question in the workspace chat.
- 2
The agent discovers only the tables and columns allowed for AI.
- 3
Valv validates and runs a structured, read-only query from your machine.
- 4
Inspect the tool call and result, then save a live dashboard or export a CSV when useful.
Valv adds control around the agent, not another chat box.
The important difference appears when the model needs live data. Valv owns that boundary and shows what crossed it.
Read-only database tools
The agent can list resources, inspect the allowed schema, and send structured analytics queries. It cannot call database insert, update, delete, or raw SQL tools.
Table and column controls for AI
Active schemas start visible. Hide a whole table or individual fields before the agent discovers them. The table view marks those columns "Hidden from AI". You still see them there. The agent does not.
AI access
Tool calls and results you can inspect
Valv renders tool calls where they happen in the conversation. A factual answer can link back to the structured query and result behind it instead of leaving you with an unexplained paragraph.
Source: cancellation totals
Files and context that outlive the answer
Save live HTML dashboards, flows, and CSV exports in the workspace folder. In a git-backed workspace, choose which files sync to the team. Confirmed definitions become shared workspace memory.
Both keep the database connection on your device. Chat changes the data path.
pgAdmin is open source and self-hosted. You run it, and the connection and credentials live on the machine or server you choose. That control is a genuine strength, not a gap Valv can claim as its own.
Valv also connects to the database from your machine and encrypts database secrets with the OS keychain. When you use its optional AI chat, the allowed schema, your prompt, and the query results needed for the answer are processed through your chosen agent provider. The database credentials are not.
Source: pgAdmin project.
What leaves the database client?
pgAdmin database work
pgAdmin has no AI features to route data through. Queries and results stay within the deployment you host, and credentials stay on your device or server.
Valv database work with optional chat
Valv runs the query locally. The chosen model provider processes the prompt, permitted schema, and returned data needed to answer. Hide fields before asking if they should not enter that context.
pgAdmin is free. Valv is free for personal use.
On price alone, pgAdmin is hard to beat: free and open source, no tiers. Valv charges for commercial use, and the money buys the agent workflow across more than one engine.
pgAdmin
Free open source
Released under the PostgreSQL license and maintained by the pgAdmin Development Team. No paid tier, no per-seat cost. Postgres only.
Visit the pgAdmin projectValv Desktop
$99 Pro seat during beta
One-time commercial license with unlimited devices per seat. Personal, non-commercial use is free with every feature included.
See Valv pricingpgAdmin alternative questions, answered
Is Valv a drop-in replacement for pgAdmin?
No. pgAdmin is the stronger choice for hands-on Postgres administration: managing roles and tablespaces, running backups and restores, VACUUM, the grant wizard, and server monitoring. Keep it for that. Valv covers a different job, across more engines than Postgres. You ask questions in plain language, and your own AI agent answers through read-only tools, cites the queries behind each number, and can build a live dashboard. You can run both side by side.
Which databases do pgAdmin and Valv support?
pgAdmin is PostgreSQL-only, by design. It is the official platform for Postgres and does not manage other engines. Valv has stable integrations for PostgreSQL, MySQL and MariaDB, SQLite, and ClickHouse, with MongoDB marked experimental.
Can I still browse tables and write SQL in Valv?
You can browse tables. Valv has a read-only table viewer where you filter, sort, page through rows, and export CSV. There is no SQL editor and no row editing. Keep pgAdmin for its query tool, data editor, and ERD tool. Valv is for the questions your agent answers.
Can a Valv agent change my database?
No. Valv gives agents policy-filtered discovery and structured query tools. The agent never gets insert, update, or delete tools and never runs raw SQL. Every database request goes through Valv's policy layer. Tables in Valv are read-only for you too.
What can the agent see in Valv?
The schemas active in the workspace start visible. You can hide a whole table or individual columns such as email and card number in AI access. Hidden fields stay out of agent discovery and queries. The table view marks them "Hidden from AI", so you can still see them there. The agent cannot.
How do pgAdmin and Valv handle privacy?
Both connect to databases from the user's device and keep database credentials there. pgAdmin is open source and self-hosted, so its data path is whatever you run it on. Valv also runs database queries from your machine, but optional chat sends your prompt, the allowed schema, and the query results needed for the answer through the coding-agent account you selected. Valv does not send database credentials to that provider.
How does pgAdmin pricing compare with Valv?
pgAdmin is free and open source under the PostgreSQL license, with no paid tier. Valv includes every feature free for personal, non-commercial use. During the beta, commercial Pro is a one-time $99 per seat with unlimited devices for that seat. If cost is the only question, pgAdmin wins outright. The trade is engine coverage and the agent workflow.
Use Valv next to pgAdmin.
Free for personal use, every feature included. Commercial use needs a seat at beta pricing. See pricing.