Software Alternatives & Startups

Sheety VS datatomcp

Compare Sheety VS datatomcp and see what are their differences

Sheety

Turn any Google sheet into an API instantly, for free. Power websites, apps, or whatever you like, all from a spreadsheet. Changes to your spreadsheet update your API in realtime. Neat

Rating
0 reviews
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, Sheety seems to be more popular. It has been mentioned 11 times since March 2021.

social mentions
11 vs 0
API Tools popularity
100% vs 0%
alternatives listed
240+ vs 7

Base details

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

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

About Sheety and datatomcp

In their own words, as submitted to SaaSHub.

Sheety
datatomcp

No description of Sheety yet.

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.

Sheety 5 features
datatomcp 6 features
  • Easy integration
    Sheety offers simple and straightforward APIs that allow users to convert Google Sheets into RESTful APIs, facilitating quick integration into various applications.
  • Cost-effective
    Sheety provides a free tier with essential features, making it a cost-effective solution for small projects or startups with limited budgets.
  • No-code solution
    Sheety allows non-developers to connect their Google Sheets data to other apps without requiring any coding knowledge.
  • Automation capabilities
    Users can automate workflows by integrating Sheety with other tools like Zapier, improving productivity and reducing manual tasks.
  • Real-time updates
    Changes in the Google Sheets are reflected almost instantly in the API endpoints, ensuring data is always up-to-date.

Possible disadvantages

  • Limited scalability
    For larger projects with complex needs, Sheety’s features may not be sufficient, requiring users to invest in more robust data management solutions.
  • Privacy concerns
    Sharing sensitive information via Sheety's API can be risky if proper authentication and data security measures are not in place.
  • Dependency on Google Sheets
    Sheety relies heavily on Google Sheets, so any limitations or downtime of Google Sheets directly impacts the functionality of Sheety.
  • API rate limits
    The service may have API rate limits that could restrict high-frequency data updates or extensive CRUD operations, posing challenges for data-intensive applications.
  • 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

Analysis

An editorial look at what each product does well and who it suits.

Sheety
datatomcp

Overall verdict

  • Sheety is considered good for simplifying the process of using spreadsheets as a backend service. Its ease of use, especially for those unfamiliar with traditional development environments, makes it a practical solution for specific use cases.

Why this product is good

  • Sheety is a useful tool for those looking to turn their Google Sheets into a simple RESTful API. It offers a straightforward way to integrate spreadsheets with other applications, making it a good choice for prototyping, small projects, or integrating data without handling complex backend setups.

Recommended for

  • Non-developers looking for an easy way to create a backend for their applications.
  • Developers who need to quickly prototype applications with spreadsheet data.
  • Small teams or startups who want to leverage existing Google Sheets data without setting up a complex database.

No analysis of datatomcp yet.

Videos

Walkthroughs and reviews on video.

Sheety 3 videos + Add
datatomcp 1 video + Add

Arundhati Climax Scene REACTION | Anushka Sheety, Sonu Sood | Parbrahm&Anurag

More videos

  • - Yash Sister Deepikadas Mother Speech About Shine Sheety in Bigboss7 | Deepika Das ShineShetty
  • - SINGHAM 3 CONFIRM AFTER SOORYAVANSHI/AJAY DEVGAN,AKSHAY KUMAR,ROHIT SHEETY/SINGHAM 3/REVIEW BROTHERS

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
Sheety
datatomcp
100% 100%
0% 0%
93% 93%
7% 7%
94% 94%
6% 6%
100% 100%
0% 0%

Questions & Answers

As answered by people managing Sheety 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 Sheety 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.

Sheety 11 mentions
datatomcp 0 mentions
  • Using Google Sheets as the back end/APIs of your app
    Neat! This seems very similar to Sheety[0], which I've used a bunch of times before (and found a few bugs...). Do you have any plans to open source? [0]https://sheety.co. - Source: Hacker News / over 2 years ago
  • Alternatives to Sparklite?
    You can just use retool alone or if you still want to use bubble maybe the easiest way would be to use https://sheety.co. Source: over 3 years ago
  • My mom have a little business and she do all on an excel, is there any way to create her a web page directly connected to a google sheets?
    Well there’s https://sheety.co that provides an api to write to google sheets. You just need to set up the fetch mechanism on your web page. Source: almost 4 years ago

View more

Tracking datatomcp since Oct 2026.

Alternatives to Sheety and datatomcp

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