A TablePlus alternative for database work done with coding agents.
TablePlus is the stronger broad, native client for manual SQL and database management. Valv is built for a different workflow. Your coding agent discovers the permitted schema, runs read-only queries, shows its work, and can turn the answer into a dashboard or file in the workspace.
Not a feature-for-feature clone. A better fit when the agent writes the query.
Pick the client that matches how you work.
There is no honest universal winner here. The decision turns on who writes the query and what should happen after the result comes back.
Choose TablePlus if you drive the database by hand.
TablePlus has the broader database list and the deeper manual client. Its official product pages cover inline edits to rows, table structure, and query results, plus imports, exports, safe mode, advanced filters, and a mature SQL editor.
- You manage several database engines that Valv does not support.
- You design structures, import data, and make frequent manual edits.
- Your query editor is the center of the job.
Check the official TablePlus feature overview.
Choose Valv if 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 want dashboards, query files, exports, and shared context in one workspace.
Valv also has a table viewer and SQL editor. Agent work is the reason to switch.
The same question takes a different path.
TablePlus gives you excellent tools to write and run the statement. Valv makes the agent's database work inspectable and reusable.
A manual TablePlus workflow
- 1
Open the connection and find the relevant schema.
- 2
Write SQL with autocomplete, history, and formatting.
- 3
Run the statement and inspect the streamed result.
- 4
Edit, export, favorite, or turn the result into a metric board.
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 dashboard, SQL file, or export 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. Your own table viewer and SQL editor keep their normal access.
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, SQL, and exports in the workspace folder. In a git-backed workspace, choose which files sync to the team. Confirmed context and verified queries become shared workspace memory.
Both keep the database connection on your device. Chat changes the data path.
TablePlus says it does not send or store database data on its server and keeps credentials on the user's device. That 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: TablePlus documentation.
What leaves the database client?
TablePlus database work
Its documentation says database data is not sent to or stored on TablePlus servers. Credentials stay on the device.
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.
Pricing is close. The license rules are not.
Both products sell a $99 perpetual desktop license today, but the free use and device terms differ.
TablePlus
$99 Basic license
One device. Perpetual use. One year of updates and support. The free tier limits open tabs, open windows, and advanced filters to two each.
See current TablePlus pricingValv 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 pricingTablePlus alternative questions, answered
Is Valv a drop-in replacement for TablePlus?
No. TablePlus is the stronger choice if you want a broad native database-management client and spend most of your time writing SQL, changing structures, importing data, and editing rows by hand. Valv is the better fit when a coding agent writes the queries and you want that work inside a database client with read-only agent tools, AI access controls, visible results, and workspace context.
Which databases do TablePlus and Valv support?
TablePlus supports a much longer list, including PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, Redshift, Oracle on macOS, CockroachDB, Snowflake on macOS and Windows, Cassandra, Redis, Vertica, and MongoDB in beta. 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?
Yes. Valv has a live table viewer with filters and guarded row edits, plus a SQL editor that runs your SQL directly against the database. TablePlus remains the more complete manual data-management client. Valv's main difference is the agent workflow around those database views.
Can a Valv agent change my database?
No. Valv gives agents policy-filtered discovery and structured query tools. It does not expose database insert, update, delete, or raw SQL tools to the agent. Your own table edits and SQL editor remain separate and can write when you choose to run or save changes.
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, while you can still use them yourself in the table viewer and SQL editor.
How do TablePlus and Valv handle privacy?
Both connect to databases from the user's device and keep database credentials there. TablePlus says it does not send or store database data on its server. 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 TablePlus pricing compare with Valv?
TablePlus has a free tier limited to two open tabs, two open windows, and two advanced filters at a time. Its Basic license is $99 for one device, is perpetual, and includes one year of updates and support. 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.
Try the agent-first TablePlus alternative.
Free for personal use, every feature included. Commercial use needs a seat at beta pricing. See pricing.