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IN THE FIELD GUIDE

Pluk

pluk.sh

Pluk is an AI native database client that integrates everyday database tools with an AI notebook agent for queries, reports, and dashboards. It allows users to explore data, write queries, and draft reports in one app without switching between multiple tools.

THE PRODUCT, BEYOND THE PITCH

Automatically researched · Not editorially reviewed · Sources checked Oct 13, 2026

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A good fit for

Not confirmed yet.

Know the limitations

  • Limited AI queries and up to 4 connections at a time on the free plan.
  • The AI notebook agent and expanded AI usage are only available on the Pro plan.

What you can do

  • Answering database questions and creating reports without switching between SQL, ChatGPT, spreadsheets, and dashboards.
  • Faster path from application database to answers for smaller product teams without the overhead of warehouses, ETL jobs, hosted notebooks, and BI tools.

Features

Not confirmed yet.

Integrations

  • Supports direct connections to PostgreSQL, MySQL, SQLite, MongoDB, and cloud platforms like Convex, Supabase, and Neon.

Platforms & data export

  • Runs as a native client on the user's machine connecting directly to databases without moving rows externally.

THE COST FOR YOUR TEAM

Go beyond the starting price.

Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

Cheapest fit for 1 person, all 1 tools

$0.00/month

$0.00 a year on these plans.

Plan costs based on your requirements
Tool / planMonthlyPer yearWhat this assumes
Pluk logoPluk

FreeCheapest fit

Flat subscription

$0.00$0.00

Automatically extracted from the linked pricing source. Seat allowances, usage limits, taxes and terms are not confirmed — check them with the provider.

Pluk logoPluk

Pro

Flat subscription

$15.00$180.00

Automatically extracted from the linked pricing source. Seat allowances, usage limits, taxes and terms are not confirmed — check them with the provider.

A practical workflow

  1. Inspect schema, scan rows, edit records, and run queries all within one workspace.
  2. Describe needs to the AI notebook agent, which explores the database and builds notebooks for reports or queries.

Based on the sources below. Editorial review does not imply hands-on product testing.

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Sources & research

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