AppsAutessaDB

-- compare · autessadb vs pinecone

AutessaDB vs Pinecone: a Pinecone alternative for AI apps

Pinecone is a leading vector database, with Assistant for document chat and Nexus for compiling knowledge for agents. AutessaDB is for teams whose search should live next to the records it describes: it indexes a column on every write, applies each row’s security to every search, and keeps structured queries, triggers and a columnar SQL data lake on the same data.

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 Pinecone, side by side

capabilityAutessaDBPinecone
Columnar data lake with analytical SQLSame product as your tablesNot listed
Typed relational tables with joinsThe same table you searchVector records with metadata
Search results filtered per end userRow rules on every searchProject roles; Nexus access filters
Search refused on masked or hidden columnsIncludedNot listed
Notes for files and transcripts for audioAutomaticFiles via Assistant; audio not listed
AI enrichment with summaries, key facts and likely questionsOn every indexed valueNot listed
Group-by aggregates on the data you searchCOUNT, SUM, AVG with HAVINGNot listed
Triggers that run agents and toolsIncludedNot listed
Full headless access (Autessa MCP)Under your row rulesOwn MCP for integrated-embedding indexes
100% customizable, code and all (Autobot)IncludedIndex settings and BYOC
Vector searchIncludedIncluded
Embeddings created on writeAutomaticIntegrated embedding
Filters alongside searchFull filters and joinsMetadata filters
One-click knowledge base and search agentIncludedPinecone Assistant

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

-- where autessa wins

Why teams choose AutessaDB over Pinecone

No sync pipeline

One write updates the record and its index, so search is never out of step with your data, and the same data feeds the columnar data lake.

Permissions on every result

Search returns only rows the caller can see, and a column the caller sees only masked or hidden cannot be searched at all.

Agents get more than matches

Through the Autessa MCP, Claude or your own agent can search by meaning, filter, aggregate and run SQL on the data lake in one connection, as the person who connected it.

Make retrieval yours

Ask Autobot to change how a knowledge base works or add a screen over your results, down to the code. Your developers can edit it directly.

Moving to AutessaDB from Pinecone

Teams moving retrieval from a separate vector database add the source text or files as columns on an AutessaDB table, mark them for semantic search, and bulk-insert the records; indexing runs in the background. Agents then switch to the Semantic Query or General Search tools.

-- faq

AutessaDB and Pinecone: questions

Is AutessaDB a vector database?

AutessaDB is a managed database with built-in vector search. Any Short Text, Long Text, File or Audio column can be marked for semantic search, so you do not need a separate vector database.

Does AutessaDB vector search respect permissions?

Yes. Results include only rows the caller can see, and searching a column the caller sees only masked or hidden is refused.

Can I tune similarity thresholds?

Yes. Search takes a limit (up to 100) and a scoreThreshold from 0 to 1, and returns similarity scores.

Can I run SQL on the same data?

Yes. Load events and history into the AutessaDB data lake and query them with analytical ANSI SQL, Ask or a data agent, under the same security as your tables.

What can I customize?

Columns, enrichment, roles and triggers are yours to define, and the Autessa app around them can be changed down to its code by Autobot or your developers.

Can Claude search AutessaDB through MCP?

Yes. The Autessa MCP lets Claude, ChatGPT, Cursor or your own agents search and query your data, seeing only the rows and columns the connected identity may see.

Other comparisons

$ autessa autessadb tables create

Try AutessaDB next to Pinecone.

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