ADoor vs Pinecone
Pinecone is managed vector search for semantic search and retrieval. ADoor, your data account, keeps exact records with fields, such as customers, orders or appointments, which people and assistants like ChatGPT share with access per field and entry.
Where ADoor stands out
Exact records
Pinecone finds similar items by meaning. ADoor keeps exact values you can sort, count and query in SQL.
For people too
Pinecone's developer MCP runs locally with an API key. ADoor's MCP server works in ChatGPT, Claude, Grok and Cursor with a sign-in.
Access per field
In ADoor you can share a list without one field, or let an agent add but never delete.
The products
Pinecone
Pinecone is a managed vector service for semantic search and RAG, with Pinecone Assistant.
- Assistants
- A local developer MCP with an API key, and an Assistant MCP server
- Plans
- Starter is free. Builder is $20 a month.
ADoor
ADoor is your data account. You keep lists and tables in a workspace you own, personal or team: a reading list, an incident log, a list of customers. Describe what you want to keep track of and it's set up for you, with real Postgres underneath. Every person, app, assistant, device and job gets its own access.
- Assistants
- ChatGPT, Claude, Grok and Cursor connect through MCP with a sign-in.
- Apps and scripts
- An HTTP API with keys, running the same actions assistants use
- Access
- Per space, list or field, or just the entries where a field equals a value you choose. Reading, adding, editing and deleting entries, and changing a list's fields, are separate permissions. An assistant never gets more than the person who connected it.
- Approvals
- Agents ask for more access and you approve or deny. A new device signs in only after you approve it and choose its access.
- CI jobs
- GitHub Actions signs in with short-lived access, 15 minutes by default and up to 30 days, with no stored secret.
- Revoking
- Takes effect on the next request. What was already saved stays.
- History
- A history of changes, with who made each one and the before and after
- Underneath
- Standard Postgres
- Plans
- Free for 3 tables and 100 rows. Pro is $10 a month per workspace, with 1 GB of storage.
Pricing
| Topic | ADoor | Pinecone |
|---|---|---|
| Free plan | 3 tables and 100 rows, with a few MB of storage | Starter |
| Paid plans | Pro: $10 a month per workspace, 1 GB of storage, no per-GB charges | Builder $20 a month; Standard $50 a month minimum |
Latency
| Topic | ADoor | Pinecone |
|---|---|---|
| Published figure | Not published | p50 16 ms, p90 21 ms, p99 33 ms on 10M records |
ADoor doesn't publish a latency figure. Pinecone's figure is its own benchmark.
Connectors and API
| Topic | ADoor | Pinecone |
|---|---|---|
| MCP server | Hosted, with OAuth sign-in. ChatGPT, Claude, Grok and Cursor. | Local developer MCP; Assistant MCP |
| HTTP API | HTTP API with keys: read, add, edit, delete, and change lists and fields | Yes |
| SQL access | Standard Postgres SQL through MCP and the API, within your access | No |
| Access per agent | Its own access per assistant, app, device and job, down to specific fields, or just the entries that match a value you choose | Not published |
| OAuth or tokens | OAuth for assistants, keys for apps, short-lived sign-in for GitHub Actions | API key |
| SDKs | Coming soon | Yes |
| Webhooks | No | Not published |
| Import and export | Export to CSV or JSON. Import by attaching CSV or JSON in an assistant. | Not published |
ADoor has no sync connectors and no file storage.
Which one should you use?
Use Pinecone when
you need semantic search over a large set of documents or embeddings.
- Vector search. Find similar items by meaning, fast.
- Managed RAG. Pinecone Assistant answers from uploaded files.
- SDKs. Official SDKs.
Use ADoor when
you need exact records that people and assistants share, each with narrow access.
Technical
- A RAG pipeline keeps document metadata, owner and review date in ADoor, and an assistant checks it before answering.
- A GitHub Actions job records each index rebuild with 15 minutes of access.
- An evaluation script adds each test question and the expected answer to a list, and a Cursor agent reads it but can't edit it.
Personal
- Books you've read with ratings and notes, so you ask ChatGPT what to read next.
- Everyone's clothing and shoe sizes in the family, for birthday shopping.
Team
- A support team keeps approved answers in a list that only leads edit.
- A history of changes shows who changed each answer.
- Product and support share a Feature requests list where everyone adds and only product edits status.
Business
- A sales assistant reads Products but never Cost.
- A partner reads one list until you revoke it.
- A retailer keeps store opening hours and returns rules in one list that its customer chat assistant reads, so answers match what managers last changed.
Questions people ask
Can Pinecone and ADoor work together?
Yes. Use Pinecone for semantic search and ADoor for exact records.
Does ADoor do vector search?
No.
Which assistants work with ADoor?
ChatGPT, Claude, Grok and Cursor connect through MCP with a sign-in. You approve each one and choose what it can reach.
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Checked October 20, 2026. Sources: pinecone.io/pricing, Pinecone MCP, Pinecone product, Pinecone SDKs.