"Bases" is ambiguous, but the candidates here are database platforms. Supabase 1 offers a Postgres database with APIs, auth and realtime, and provides an SDK, CLI and skills. MySQL 2 and DuckDB 5 are general SQL databases, and Neo4j 9 is a graph database platform.

A question back: Which kind of base do you need: a relational/SQL database, a vector database, a graph database, or a Notion-style workspace base? Which platform or language are you building on?

1. 1

   Supabasesupabase.comverified and signed

   Postgres development platform with a database, authentication, instant APIs, realtime, functions and storage, accessible through the @supabase/supabase-js SDK and the supabase CLI 111.

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   official:SDK · @supabase/supabase-jsCLI · supabasepackage · Supabaserepository · supabaseskill · supabase-postgres-best-practices+103 community tools built for it

   for agents: list_tables · supabase · upsert_row

2. 2

   MySQLmysql.comverified and signed

   Relational SQL database for transactions and analytics, offered by its maker with scalability, security and management tooling 2.

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   +235 community tools built for it

   for agents: database · Core · db

3. 3

   DuckDBduckdb.orgverified and signed

   In-process analytical SQL database that runs from edge devices to servers, with PostgreSQL-inspired query language and APIs for major languages 515.

   WebsiteDocs

   +27 community tools built for it

   for agents: createAndQueryDB · Database · SQL

4. 4

   Neo4j Graph Intelligence Platformneo4j.comverified and signed

   Graph data platform that models relationships in a graph and runs complex queries at scale 9.

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   +51 community tools built for it

   for agents: database · neo4j · graph