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datatomcp VS SheetDB

Compare datatomcp VS SheetDB and see what are their differences

datatomcp

Query your CSVs and Google Sheets from any AI agent, over MCP or a REST API

Rating
0 reviews
Pricing
Freemium $12 / Monthly (Free: 3 datasets × 100,000 rows. Pro: $12 or €12 a month)
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Alternatives Is it good?
SheetDB

Turn a Google Spreadsheet into a RESTful API

Rating
0 reviews
Pricing
Freemium Free trial $29.99 / Monthly
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Alternatives Is it good?
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Which is more popular?

Based on our record, SheetDB seems to be more popular. It has been mentioned 9 times since March 2021.

social mentions
0 vs 9
Developer Tools popularity
100% vs 0%
alternatives listed
7 vs 76

Base details

Website, pricing, platforms and company facts side by side.

datatomcp
SheetDB
Website datatomcp.com sheetdb.io
Pricing
Freemium $12 / Monthly (Free: 3 datasets × 100,000 rows. Pro: $12 or €12 a month) Official pricing
Freemium Free trial $29.99 / Monthly Official pricing
Platforms
Web
—
Company Startup from the Netherlands · 1 - 9 employees · 2026 2017
Listed in
MCP Servers Spreadsheets As A Backend Data Analysis AI Developer Tools APIs Spreadsheets Google Sheets +5
Google Sheets API Tools Spreadsheets Spreadsheets As A Backend +1

About datatomcp and SheetDB

In their own words, as submitted to SaaSHub.

datatomcp
SheetDB

datatomcp turns a CSV file or Google Sheet into a data source that AI agents and apps can query. Upload a CSV, paste a CSV link or pick a Google Sheet. The data is loaded into a database (DuckDB), and an import report lists problems such as broken lines, numbers stored as text and mixed date...

Read more about datatomcp

Transform google spreadsheet into a JSON API and use it as a data store in a matter of seconds. Create google spreadsheet, fill first row with column names, and the rest of data.

Read more about SheetDB

Features and specs

What each product offers, as listed by its team.

datatomcp 6 features
SheetDB 5 features
  • Remote MCP server
    Streamable HTTP with OAuth sign-in, works in Claude, ChatGPT, Cursor, VS Code and other MCP clients
  • REST API
    Same queries over HTTPS with API keys, for apps, n8n and Make
  • Google Sheets sync
    Pick a private sheet in Google’s file picker; on-demand refresh, hourly on Pro
  • CSV import
    Upload a file or paste a CSV link, up to 2 million rows per dataset on Pro
  • Import report
    Flags broken lines, numbers stored as text and mixed date formats
  • Exact aggregates
    Filter, group, count, sum, average, min and max computed by DuckDB
  • Ease of Use
    SheetDB allows users to effortlessly connect and convert Google Sheets into a JSON API without requiring sophisticated programming skills.
  • Affordability
    It offers a cost-effective solution for managing data with various pricing tiers, including a free plan for small-scale applications.
  • Quick Setup
    The platform enables rapid integration by providing simple, step-by-step instructions to set up APIs quickly.
  • Scalability
    Users can efficiently manage large datasets as their applications grow, with seamless transitions between pricing plans.
  • Real-time Data
    SheetDB reflects real-time changes made in the Google Sheet, ensuring up-to-date information is accessible via the API.

Videos

Walkthroughs and reviews on video.

datatomcp 1 video + Add
SheetDB 1 video + Add

Connect a Google Sheet to Claude in 40 seconds (MCP)

SheetDB concept

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
datatomcp
SheetDB
100% 100%
Developer Tools
0% 0%
0% 0%
API Tools
100% 100%
16% 16%
Spreadsheets
84% 84%
100% 100%
Data Analysis
0% 0%

Questions & Answers

As answered by people managing datatomcp and SheetDB.

Which are the primary technologies used for building your product?

datatomcp's answer

TypeScript and Node.js, Hono, DuckDB with Parquet files, SQLite, the official MCP TypeScript SDK (Streamable HTTP), Better Auth for OAuth, and Astro for the website. Hosted in the EU.

What makes your product unique?

datatomcp's answer

It gives AI agents query tools instead of raw rows. The agent asks for a filter or a total, and a database (DuckDB) computes it, so answers on 100,000-row sheets are exact. Every result includes the dataset version, and messy data is flagged in an import report before any agent sees it. The same dataset works in AI clients over MCP and in apps over a REST API.

Why should a person choose your product over its competitors?

datatomcp's answer

Most Google Sheets API tools are built for reading and writing rows in apps. datatomcp is built for questions: filters, group-by and totals run on the server, and it works as a remote MCP server with OAuth in Claude, ChatGPT and Cursor. It is read-only by design and hosted in the EU. If you need to write rows back to a sheet, a CRUD tool like SheetDB or Sheety is a better fit.

How would you describe the primary audience of your product?

datatomcp's answer

People who keep business data in spreadsheets and want to ask an AI agent about it: operations and finance teams, analysts, founders, and developers building agents or automations in n8n or Make.

What's the story behind your product?

datatomcp's answer

I kept pasting spreadsheets into Claude and ChatGPT and getting totals that were close but not right. The model reads the rows and estimates. So I built a small service that puts the file in a real database and gives the agent a few safe query tools. It is built and run by one person in the Netherlands.

User comments

Share your experience with using datatomcp and SheetDB. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

datatomcp 0 mentions
SheetDB 9 mentions

Tracking datatomcp since Oct 2026.

  • Google Sheets API pricing after the limit
    Can you tell me how an app like https://sheetdb.io/? An app like that must send thousands of requests every minute. Source: almost 5 years ago
  • I want to practice forms in html
    What I would do is to use 'no code' methods here and some services like this https://sheetdb.io/ that connects me to google sheet. Source: over 5 years ago
  • Trying to use the Google Sheets API by following instructions in "How to Automate the Boring Stuff with Python", but the instructions in the book don't match the what I see on the website. How do I generate an OAuth client ID?
    Good for you! I've actually read :) And for the future, you may get rid of the OAuth problems by using a third-party API. I recommend sheetdb.io. Here's a piece I wrote on this, you might find interesting:... Source: over 5 years ago

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