Comparison
AddisDB vs Pluk
An AI-native client built around a notebook agent. The most ambitious AI story here, on the narrowest foundation.
Engine breadth
How many database engines and data-file formats it can actually open.
Pluk — Limited
PostgreSQL, MySQL, SQLite and MongoDB, plus Convex, Supabase and Neon. A deliberately small set aimed at the modern application stack.
AddisDB — Strong
95 engines and data-file formats, from Postgres and MySQL through Mongo, Redis, Cassandra and Neo4j to Snowflake, BigQuery, ClickHouse and local CSV/Parquet/GeoJSON. Every engine is on every plan, including the free one.
Cost & openness
What it costs to use for real work, and whether you can read the source.
Pluk — Good
A free tier with up to 4 connections and limited AI usage; Pro is $15/month for unlimited connections and the full Notebook Agent. A Team tier is planned. Not open source.
AddisDB — Good
Free forever for databases on your own machine — the whole client, every engine, no account and no card. $49/year to reach databases that are not local; $99/user/year for teams; $299/user/year for SSO, audit log and RBAC. Source is not public.
Platform reach
Which operating systems and surfaces it runs on.
Pluk — Limited
macOS only today. Windows and Linux are on the roadmap, which rules it out for a mixed-OS team right now.
AddisDB — Strong
macOS, Windows and Linux as a native app, plus a CLI with a TUI and a VS Code extension that share the same core.
Production safety
What stands between you and the wrong statement on a production database.
Pluk — Limited
The AI is scoped to table and column names rather than row data, and generated queries are reviewable before they run — a thoughtful privacy boundary. There are no production write guards beyond that.
AddisDB — Strong
Connections can be marked read-only; statements are classified before they run, so an unqualified DELETE or a DROP is stopped rather than reported afterwards. A prod environment tag adds write guards, and row-count thresholds catch the statement that would hit more rows than you meant.
AI capability
What the AI does, what it costs, and where your schema and keys go.
Pluk — Strong
The most agentic approach here: describe a report and the Notebook Agent explores the schema and builds a working draft, with every step editable. Where other tools bolt AI onto a client, this is a client built around the agent.
AddisDB — Strong
Plain-English to SQL, schema-aware, with the generated statement shown for you to edit before it runs. Bring your own provider key: it is stored in the OS credential store, calls go straight to your provider, and AI is included on the free tier because we are not the ones paying for the tokens.
Schema tooling
Diagrams, diffs, and getting a schema change from your laptop to production.
Pluk — Limited
Browsing and structure viewing. Schema change management is not the focus.
AddisDB — Strong
ERD of tables and foreign keys, schema diff between databases, and a migration preview that shows the exact SQL plus the dangerous parts — dropped columns, rewrites, locks — before anything runs. Reads Drizzle Kit and Prisma changes too.
The scoreboard
Pluk matches or beats AddisDB on: Cost & openness, AI capability.
AddisDB comes out ahead on: Engine breadth, Platform reach, Production safety, Schema tooling.
Which one to pick
Pick Pluk if…
You want the AI to do the work — describe a report and have an agent build it. Pluk is built around that idea rather than bolting it on.
Pick AddisDB if…
You are not on macOS, or you need engines beyond Postgres, MySQL, SQLite and Mongo.
About this comparison
Ratings and prices were checked against each vendor's own pages on 2026-08-11. We wrote this and we make one of the tools in it, so read it as what it is — and if something here is wrong or out of date, tell us and we will correct it.