Comparison
AddisDB vs Bytebase
Not a desktop client. A database DevOps and governance platform your team deploys — and the strongest answer here to "who approved this change?"
Engine breadth
How many database engines and data-file formats it can actually open.
Bytebase — Good
Around 20 engines, weighted towards the ones organizations run in production rather than breadth for its own sake.
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.
Bytebase — Good
A free Community tier covering up to 20 users and 10 database instances, self-hostable including air-gapped. Pro is $20/user/month; Enterprise is custom. Source is on GitHub, though not all of it is under an open-source licence.
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.
Bytebase — Limited
Web-based, self-hosted or cloud. There is no desktop app — you reach it through a browser, which is a different daily workflow from everything else in this table.
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.
Bytebase — Strong
The strongest production safety story on this page, and it is not close: change review with custom approval workflows, dynamic data masking, an audit trail of who ran what, and policy enforcement before a change reaches production. It is built for the compliance question, not the convenience one.
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.
Bytebase — Limited
Some AI-assisted SQL, but AI is not what the product is about.
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.
Bytebase — Strong
Schema migration and version control is the entire product — GitOps-style change management, drift detection, and a review pipeline for database changes. Nothing else here treats migrations as the main event.
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
Bytebase matches or beats AddisDB on: Cost & openness, Production safety, Schema tooling.
AddisDB comes out ahead on: Engine breadth, Platform reach, AI capability.
Which one to pick
Pick Bytebase if…
Your actual problem is governance — who may change production, who approved it, and what the audit trail says. Bytebase answers that better than any desktop client can, including ours.
Pick AddisDB if…
You want a client you open on your laptop to write a query. Bytebase is a platform your team deploys; the two solve different problems and quite reasonably sit side by side.
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.