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Stein VS datatomcp

Compare Stein VS datatomcp and see what are their differences

Stein

Use Google Sheets as your no-setup database

Rating
0 reviews
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Alternatives Is it good?
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)
Promote on VibeVoted
Alternatives Is it good?
Jaah
Jaah is Just Another Agentic Harness, for production-grade AI-generated code. Coding agents write the code. Jaah makes it production-grade. sponsored

Which is more popular?

Based on our record, Stein seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
1 vs 0
Google Sheets popularity
100% vs 0%
alternatives listed
82 vs 7

Base details

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

Stein
datatomcp
Website steinhq.com 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
Google Sheets API Tools APIs Spreadsheets As A Backend +1
MCP Servers Spreadsheets As A Backend Data Analysis AI Developer Tools APIs Spreadsheets Google Sheets +5

About Stein and datatomcp

In their own words, as submitted to SaaSHub.

Stein
datatomcp

No description of Stein 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.

Stein 5 features
datatomcp 6 features
  • Ease of Use
    Stein offers a user-friendly interface that allows for easy management and retrieval of data, even for non-developers.
  • Spreadsheet Integration
    The platform allows for seamless integration with Google Sheets, making it convenient to manipulate and use data stored in spreadsheets.
  • API Accessibility
    Stein provides a simple REST API which makes it easy for developers to integrate it with various applications.
  • Cost-Effective
    Stein offers a free tier that allows users to get started at no cost, making it an affordable solution for small projects and startups.
  • Scalability
    The service can handle large amounts of data, meaning it can grow with the needs of the user or business.

Possible disadvantages

  • Limited Advanced Features
    While it's excellent for basic data tasks, Stein lacks some advanced features found in more robust databases.
  • Dependency on Google Sheets
    Heavy dependency on Google Sheets, which might not be suitable for scenarios requiring more complex data management capabilities.
  • Performance
    For very large datasets or high-frequency operations, performance might not be as high as traditional databases.
  • Data Security
    Data security largely depends on Google Sheets' security measures, which may not be sufficient for highly sensitive information.
  • Limited Customization
    Users have less control over the backend and customization options compared to traditional databases.
  • 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.

Stein 3 videos + Add
datatomcp 1 video + Add

REVIEW STEIN COOKWARE

More videos

  • - HGUC 1/144 Sinanju Stein Narrative Ver. Review - MECHA GAIKOTSU
  • - 1879 - MG Sinanju Stein [Narrative Ver.] (OOB Review)

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
Stein
datatomcp
100% 100%
Google Sheets
0% 0%
0% 0%
Developer Tools
100% 100%
100% 100%
Productivity
0% 0%
80% 80%
Spreadsheets
20% 20%

Questions & Answers

As answered by people managing Stein 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 Stein 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.

Stein 1 mention
datatomcp 0 mentions

Tracking datatomcp since Oct 2026.

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