
Airtable
mlsql
SQL Chat
Fieldbook
sqlTranslate
Outerbase
TablePlus
Communicate with databases like a human

Collectr
SleeveUp.app
CollX
DarkDex.app
TCG Vault
TCG Catalogue
Cardtrackr
Track Pokémon card value, save grails, watch price moves, and search cards fast with BinderDex for iPhone.
Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | friendlydata.io | binderdex.com |
| Pricing | — | |
| Company | — | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of FriendlyData yet.
BinderDex is a mobile-first Pokémon TCG collection tracker for collectors who want a faster way to search cards, track values, save grails, and watch price movement. Built for iPhone, BinderDex helps collectors manage cards without jumping between marketplaces, spreadsheets, notes, screenshots,...
What each product offers, as listed by its team.


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


No analysis of FriendlyData yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using FriendlyData and BinderDex. For example, how are they different and which one is better?
When comparing FriendlyData and BinderDex, you can also consider the following products.

Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.
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Collectr is the world’s fastest growing collectibles portfolio manager.
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Infer SQL queries from plain-text questions and table headers.
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Track, organise and price your Pokémon card collection. View UK market prices, manage your binder, and connect with collectors.
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Chat-based SQL Client and Editor for the next decade
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CollX (“collects”) answers the age-old question: “What’s it worth?” The app can scan any baseball, football, or basketball card and instantly ID it and get the avg market value.
Compare CollX to FriendlyData or BinderDex: