Software Alternatives & Startups
Register | Login

datatomcp VS Stein

Compare datatomcp VS Stein 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)
Promote on VibeVoted
Alternatives Is it good?
Stein

Use Google Sheets as your no-setup database

Rating
0 reviews
Promote on VibeVoted
Alternatives Is it good?
Tacit AI
FMEAs that stay current. Tacit AI builds DFMEAs, PFMEAs and FMECAs from your design specs, process documents, manuals and failure reports, and updates them as they change. 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
0 vs 1
Developer Tools popularity
100% vs 0%
alternatives listed
7 vs 82

Base details

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

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

About datatomcp and Stein

In their own words, as submitted to SaaSHub.

datatomcp
Stein

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

No description of Stein yet.

Features and specs

What each product offers, as listed by its team.

datatomcp 6 features
Stein 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
    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.

Videos

Walkthroughs and reviews on video.

datatomcp 1 video + Add
Stein 3 videos + Add

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

REVIEW STEIN COOKWARE

More videos

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

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

Questions & Answers

As answered by people managing datatomcp and Stein.

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 Stein. For example, how are they different and which one is better?

Log in or Post with

Social recommendations and mentions

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

datatomcp 0 mentions
Stein 1 mention

Tracking datatomcp since Oct 2026.

Alternatives to datatomcp and Stein

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

Loading...