Software Alternatives & Startups

SheetDB VS datatomcp

Compare SheetDB VS datatomcp and see what are their differences

SheetDB

Turn a Google Spreadsheet into a RESTful API

Rating
0 reviews
Pricing
Freemium Free trial $29.99 / Monthly
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)

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
9 vs 0
API Tools popularity
100% vs 0%
alternatives listed
76 vs 7

Base details

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

SheetDB
datatomcp
Website sheetdb.io datatomcp.com
Pricing
Freemium Free trial $29.99 / Monthly Official pricing
Freemium $12 / Monthly (Free: 3 datasets × 100,000 rows. Pro: $12 or €12 a month) Official pricing
Platforms —
Web
Company 2017 Startup from the Netherlands · 1 - 9 employees · 2026
Listed in

About SheetDB and datatomcp

In their own words, as submitted to SaaSHub.

SheetDB
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

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

Features and specs

What each product offers, as listed by its team.

SheetDB 5 features
datatomcp 6 features
  • 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.
  • 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

Videos

Walkthroughs and reviews on video.

SheetDB 1 video + Add
datatomcp 1 video + Add

SheetDB concept

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

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
SheetDB
datatomcp
100% 100%
0% 0%
0% 0%
100% 100%
84% 84%
16% 16%
100% 100%
0% 0%

Questions & Answers

As answered by people managing SheetDB and datatomcp.

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 SheetDB and datatomcp. 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.

SheetDB 9 mentions
datatomcp 0 mentions
  • 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

View more

Tracking datatomcp since Oct 2026.

Alternatives to SheetDB and datatomcp

When comparing SheetDB and datatomcp, you can also consider the following products.