ADoor vs Amazon Aurora Serverless
Amazon Aurora Serverless v2 is AWS's managed Postgres and MySQL that scales capacity up and down, down to zero. ADoor, your data account, keeps the records a company shares with its people, apps and assistants like ChatGPT, each with its own access, with standard Postgres underneath.
Where ADoor stands out
An assistant sign-in, not IAM credentials
The AWS Labs MCP server for Aurora Postgres runs locally with your AWS credentials. ADoor's MCP server is hosted, with an OAuth sign-in for ChatGPT, Claude, Grok and Cursor.
Writes are a permission per list
The AWS Labs server blocks writes unless you start it with --allow_write_query. In ADoor, reading, adding, editing and deleting are separate permissions for each list and field.
Nothing to configure
Aurora capacity is billed per ACU-hour. In ADoor you describe what to keep in an assistant like ChatGPT and start querying.
The products
Amazon Aurora Serverless
Aurora Serverless v2 scales Aurora capacity in ACUs, with auto-pause to 0 ACUs and the RDS Data API.
- Assistants
- An open-source AWS Labs MCP server, run locally
- Access
- AWS IAM, with RDS Data API or IAM database auth
- Plans
- Per ACU-hour, from $0.12 in the pricing example, plus storage and I/O
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 | Amazon Aurora Serverless |
|---|---|---|
| Free plan | 3 tables and 100 rows, with a few MB of storage | Not published |
| Paid plans | Pro: $10 a month per workspace, 1 GB of storage, no per-GB charges | $0.12 per ACU-hour in AWS's example, plus storage and I/O |
Latency
| Topic | ADoor | Amazon Aurora Serverless |
|---|---|---|
| Published figure | Not published | Not published. AWS says scaling down is up to 15 times faster. |
AWS publishes scaling speed for Aurora Serverless, not query latency. ADoor doesn't publish a latency figure.
Connectors and API
| Topic | ADoor | Amazon Aurora Serverless |
|---|---|---|
| MCP server | Hosted, with OAuth sign-in. ChatGPT, Claude, Grok and Cursor. | Local, open source (AWS Labs) |
| HTTP API | HTTP API with keys: read, add, edit, delete, and change lists and fields | RDS Data API |
| SQL access | Standard Postgres SQL through MCP and the API, within your access | Full Postgres or MySQL |
| 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 | AWS IAM policies |
| OAuth or tokens | OAuth for assistants, keys for apps, short-lived sign-in for GitHub Actions | AWS credentials |
| SDKs | Coming soon | Not published |
| 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 Amazon Aurora Serverless when
your applications run on AWS and need a relational database inside your own account and network.
- AWS integration. IAM, Secrets Manager and the RDS Data API.
- Scale to zero. Auto-pause to 0 ACUs when idle.
- Full control. Your own Postgres or MySQL cluster.
Use ADoor when
the people and assistants around your AWS systems need records with field-level access, without IAM policies for each of them.
Technical
- A Lambda function writes every refund over a set amount to an add-only list, and auditors query it in SQL with read-only access.
- A GitHub Actions job records each infrastructure change with 15 minutes of access and no AWS keys involved.
Personal
- Pantry items and their expiry dates. You ask ChatGPT what to use up this week.
- The volunteer roster for your club, where volunteers add themselves and only you edit the schedule.
Team
- Cloud ops, security and finance share a Cost exceptions list: ops adds, finance approves, security reads.
- A history of changes shows who approved each exception and what it was before.
Business
- Every team edits its own row in a company-wide Vendor list; procurement sees Contract value, nobody else does.
- An AWS consultancy gets one space for its findings for the length of the engagement.
Questions people ask
Does ADoor run in my AWS account?
No. ADoor is hosted.
Is ADoor Postgres?
Yes. Standard Postgres SQL works through MCP and the API, within your access.
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.
Start
More comparisons
Checked October 20, 2026. Sources: Aurora pricing, Aurora Serverless v2, AWS Labs Postgres MCP.