-- compare · autessadb vs supabase
AutessaDB vs Supabase: a Supabase alternative for AI apps
Supabase is the open-source Postgres backend many developers reach for first, with auth, storage, realtime and Edge Functions. AutessaDB also runs on PostgreSQL and is built for a different center of gravity: a columnar data lake with a semantic layer, Ask and data agents, vector search as a column setting, and security that follows agents and API keys.
-- side by side
AutessaDB and Supabase, side by side
| capability | AutessaDB | Supabase |
|---|---|---|
| Columnar data lake with CSV and Parquet bulk loads | Built in, millions to billions of rows | Analytics Buckets (alpha), your own ingestion |
| Semantic layer with measures and verified queries | Drafted by AI | Not listed |
| Data agents that answer questions with SQL | One action creates their tools | Not listed |
| Masked columns that still group, count and join | In every SQL query | Not listed |
| Vector search indexed on every write | A column setting | Triggers, queue and Edge Function you set up |
| Triggers that run AI agents and tools | With before and after history | Postgres triggers and Edge Functions |
| Row-level data access log | With integrity check | Not listed |
| Full headless access (Autessa MCP) | Under your row rules | Own MCP, developer access, not for end users |
| 100% customizable, code and all (Autobot) | Included | Open source, self-hosted |
| Relational tables on PostgreSQL | Included | Included |
| Row-level security | For every caller, agents included | Postgres policies |
| REST API and CLI | Included | Included |
| Spreadsheet-style editing for teammates | Grid and DB Copilot | Table Editor |
Based on publicly available information as of November 2026. Product names are trademarks of their owners.
-- where autessa wins
Why teams choose AutessaDB over Supabase
A data lake that is ready today
Load CSV and Parquet, partition by date, see a scan estimate and run analytical SQL. No ingestion pipeline to build, under the same roles as your tables.
Vector search with no plumbing
Supabase documents a trigger, queue, cron job and Edge Function for automatic embeddings. In AutessaDB you mark a column and every write is embedded and enriched.
MCP you can give to more than developers
The Supabase MCP runs with developer permissions. Through the Autessa MCP, Claude or your own agent queries tables and the data lake as the person who connected it, with row rules and masks applied.
Open source edits code. Autobot edits it for you
Ask Autobot to add a screen over your tables or change how a workflow behaves, and your developers can still edit the code, with nothing to host.
Moving to AutessaDB from Supabase
Teams moving from Supabase recreate their core tables with the CLI or the DB Copilot, load rows with bulk inserts, and rewrite their row-level security policies as AutessaDB roles with placeholders such as $CURRENT_USER_ID. Large history goes into the data lake from CSV or Parquet exports.
-- faq
AutessaDB and Supabase: questions
Is AutessaDB a Supabase alternative?
Yes, for teams building AI apps and agents. AutessaDB covers typed tables, vector search, row-level security, triggers, a columnar data lake with SQL, and a REST API and CLI, managed for you and built into the rest of Autessa.
Is AutessaDB built on Postgres?
Yes. AutessaDB runs on PostgreSQL. You work with it through typed tables, structured queries, roles and triggers, and the data lake adds analytical ANSI SQL.
How does the AutessaDB data lake compare with Supabase Analytics Buckets?
Supabase’s docs describe Analytics Buckets as an alpha built on Iceberg, where you bring your own ingestion. The AutessaDB data lake is part of the product, with bulk loads, a SQL Workbench, a semantic layer, Ask, data agents and archive tiers, all under your row and column rules.
Supabase is open source. How customizable is AutessaDB?
Tables, roles, triggers and the semantic layer are yours to define, and the Autessa app around them can be changed down to its code, by Autobot from a plain-language request or by your developers.
Can AI tools use AutessaDB through MCP?
Yes. The Autessa MCP gives Claude, ChatGPT, Cursor or your own agents your tables and data lake under the identity that connected them, so row rules and masks apply on every call.
100% customizable, code and all
Make AutessaDB fully your own.
Use it out of the box, then change anything. Ask Autobot, Autessa’s AI builder, for a new field, screen, report, workflow or agent and it builds it into your copy of the app. Or open the code and edit it yourself. Nothing is locked: the app, its data and its code are yours.
Start free and make it yours