Comparison
AddisDB vs DBCode
A full database IDE that lives inside VS Code, Cursor and Windsurf. A very wide engine list, production roles that block statements, and a free tier more generous than any other paid product here.
Engine breadth
How many database engines and data-file formats it can actually open.
DBCode — Strong
91 engines and formats, each with its own documentation page — the relational and NoSQL staples, warehouses and lakehouses (Snowflake, BigQuery, Databricks, Iceberg), vector stores (Pinecone, Qdrant, Weaviate, Milvus), queues (Kafka, RabbitMQ), SaaS endpoints (Salesforce, Stripe, PostHog) and local CSV, Excel, Parquet and Avro files. All of them are on the free tier.
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.
DBCode — Strong
The Core edition is free forever with commercial use, no seat count, unlimited connections and every one of the 91 engines — more generous than any other paid product in this table, including ours. Pro is $4/month, $36/year or $120 once, and twelve months of subscription earns a perpetual licence; Team is $8/user/month or $72/user/year. Not open source: the public GitHub repo carries docs and issues, and its LICENSE is a proprietary agreement.
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.
DBCode — Good
Windows, macOS and Linux — but only inside VS Code, Cursor, Windsurf, VSCodium, Antigravity or Trae. It runs in dev containers and remote workspaces, with licences activated from an environment variable. There is no standalone app, no CLI and no browser client, so if your editor is not one of those six there is nothing to run.
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.
DBCode — Strong
Read-only connections and environment roles, both free. Tag a connection Development, Testing or Production and each statement type gets an allow, ask or deny: Production denies DROP and TRUNCATE, asks before INSERT, UPDATE and DELETE, and refuses an UPDATE or DELETE with no WHERE clause outright. That is classification before execution rather than a warning after it — the same idea as AddisDB, without the row-count threshold.
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.
DBCode — Good
Good provider choice and sane key handling: any OpenAI-compatible endpoint including a local Ollama or LM Studio, GitHub Copilot, or DBCode's hosted model, with the key in VS Code SecretStorage — your OS keychain. The free MCP server lets Claude Code or Cursor drive the database through it. What is paid is the headline: the AI query builder, inline completion and edit suggestions are Pro, the free schema-aware chat runs through Copilot so it assumes you already pay GitHub, and inline completion falls back to DBCode's own hosted service unless you point it elsewhere.
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.
DBCode — Limited
Auto-generated interactive ER diagrams on the free tier, table and stored-procedure editing, and an unusually good migrations panel that reads Flyway, Prisma and Rails history tables and tells you what is pending, failed, edited or missing. But that panel is strictly read-only — it never runs a migration or writes a file — and there is no schema diff at any tier. Pro adds Compare, which diffs rows between two datasets and generates INSERT/UPDATE/DELETE to sync them; it does not compare DDL.
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
DBCode matches or beats AddisDB on: Engine breadth, Cost & openness, Production safety.
AddisDB comes out ahead on: Platform reach, AI capability, Schema tooling.
Which one to pick
Pick DBCode if…
You already live in VS Code, Cursor or Windsurf and would rather the database be a panel than a second window. The free tier is the most generous offer from a paid product on this page — all 91 engines, unlimited connections, commercial use, teams of any size — and it includes production roles that genuinely refuse an unqualified DELETE. If you do want the AI query builder, it is $36 a year.
Pick AddisDB if…
You want a client that is not tied to an editor: a standalone app, plus a CLI and TUI for the machine you SSH into. Or you need a schema diff and a migration preview before a change reaches production — DBCode reads your migration history but never writes DDL, and its Compare diffs rows rather than schemas.
About this comparison
Ratings and prices were checked against each vendor's own pages on 2026-08-13. 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.