AppsAutessaDB

-- compare · autessadb vs neon

AutessaDB vs Neon: a Neon alternative for AI apps

Neon, now part of Databricks, offers Lakebase Postgres with instant branching, scale to zero, a Data API and managed auth. It gives developers an excellent Postgres to build on. AutessaDB also runs on PostgreSQL and comes with the parts you would otherwise build: a columnar data lake with a semantic layer, vector search as a column setting, masking, an access log and triggers that run agents.

customersviewing as: sales_westSAMPLE
row rule: region IN $CURRENT_USER_TEAMStax_id: masked · last 4credit_limit: hidden
idnameregiontax_idnotes ◆
1042Harbor Freight Co.west•••• 4821Asked about renewal pricing
1043Larkspur Clinicwest•••• 0937Wants SSO for staff
1044filtered by row ruleeast——
1051Pine & Tide Foodswest•••• 5560Price increase concerns
1052filtered by row rulecentral——

◆ semantic search · notes

“customers worried about cost”

#1051 Pine & Tide0.86#1042 Harbor Freight0.79

⚡ trigger · on UPDATE

when status changed to at_risk

invoke agent RetentionAgent with @@{notes}

Same rules for:peopleagentsscriptsappsAPI keys

-- side by side

AutessaDB and Neon, side by side

capabilityAutessaDBNeon
Columnar data lake for billions of rowsBuilt inNot listed for Neon
Semantic layer with measures and verified queriesDrafted by AINot listed
Plain-language questions become reviewed SQLAskNot listed
Data agents with generated toolsOne actionNot listed
Vector search indexed on every writeA column settingLakebase Search
Column masking with logged revealsEncrypted, per roleBuild it in Postgres
Triggers that run AI agents and toolsIncludedPostgres triggers, your code
Row-level data access logWith integrity checkNot listed
Full headless access (Autessa MCP)Under your row rulesOwn MCP, for development and testing
100% customizable, code and all (Autobot)IncludedYour own code on Postgres
Relational tables on PostgreSQLIncludedIncluded
Row-level securityFor every caller, agents includedPostgres RLS
REST API and CLIIncludedData API and CLI
Teammates edit tables without codeGrid and DB CopilotTables page in the console

Based on publicly available information as of November 2026. Product names are trademarks of their owners.

-- where autessa wins

Why teams choose AutessaDB over Neon

A data lake next to your tables

Load history into columnar tables and query it with SQL, Ask or a data agent, with masked values that still group, count and join.

The hard parts are built in

Vector search, masking, an access log and append-only tables come with the database, not your backlog.

Agents on real data, safely

Neon’s docs position its MCP for development and testing. The Autessa MCP lets Claude or your own agent work on live data under a known identity, with every row rule and mask applied.

Customize without writing a backend

Ask Autobot for a new screen or workflow over your tables, down to the code, or have your developers edit it directly. No app server to stand up.

Moving to AutessaDB from Neon

Teams moving from a Postgres platform recreate their main tables in AutessaDB, bulk-insert rows from exports, express access rules as AutessaDB roles, and load large history into the data lake from CSV or Parquet.

-- faq

AutessaDB and Neon: questions

Is AutessaDB a Neon alternative?

For AI apps and agents, yes. AutessaDB is a managed database on PostgreSQL with vector search, row-level security, triggers, a columnar data lake and agent tools built in, reached through an API, CLI and SDK.

How does my code connect to AutessaDB?

Through the REST API, the Autessa CLI and the AutessaScript SDK, with typed values and every row rule and mask applied on each call.

Does AutessaDB support SQL?

Yes. The data lake answers read-only ANSI SQL with joins, CTEs and window functions. Relational tables use structured queries, joins and aggregates, which is what lets them carry triggers and semantic search per row.

What can I customize?

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 or your developers.

Can agents use AutessaDB through MCP in production?

Yes. The Autessa MCP acts as the identity that connected it, so agents see only the rows and columns that identity may see, and writes fire triggers like any other write.

Other comparisons

$ autessa autessadb tables create

Try AutessaDB next to Neon.

It works out of the box: create a table, mark a column for semantic search, load the data lake and connect an agent, then compare for yourself.

Read the AutessaDB guide or install the CLI.

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