
DBeaver
DataGrip
Navicat
Beekeeper Studio
DbVisualizer
phpMyAdmin
HeidiSQL
Easily edit database data and structure

Introvrs
A friendship app without swiping. ValuePair introduces you to one person based on what matters to you. You both answer the same questions before comparing your answers.

Which is more popular?
Based on our record, TablePlus seems to be more popular. It has been mentioned 67 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | tableplus.com | valuepair.app |
| Pricing | — | |
| Platforms | — | |
| Company | — | 2026 |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
Walkthroughs and reviews on video.
09 - Instalar TablePlus en Mac
No ValuePair.app videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing TablePlus and ValuePair.app.
ValuePair.app's answer:
Next.js with Supabase and PostgreSQL and Capacitor.
ValuePair.app's answer:
There is no profile market place that tries to keep the users inside the app by browsing endless profiles and rate people by their looks. Instead it's all about sharing values. ValuePair asks everyone mandatory questions about their world views and their preferences etc. and then it introduces you to one person at a time.
ValuePair.app's answer:
It's difficult to find people with whom you really get along, that's why it's even more important to ask all the mandatory questions that help people to find out if you actually suit with someone. ValuePair is making this process easy and the core principle will be forever free. There are no ads and no paid features that lock you away from actually using the core principles.
ValuePair.app's answer:
The app is for young adults - 18+ The core audience is in the age range of 20-40
Share your experience with using TablePlus and ValuePair.app. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


If you want a commercial tool for modeling and admin, Navicat fits. And if you mostly need a fast Postgres DB viewer to browse and edit, TablePlus or the free, open-source Beekeeper Studio will do the job nicely....
Daily SQL development: Heavy authoring rewards a full IDE; occasional lookups are better served by lightweight PostgreSQL interactive query tools such as TablePlus or Beekeeper Studio.
The best SQL GUI is the one that fits your team’s work. If you need to work with multiple database platforms, dbForge Edge has one of the most complete feature sets. DBeaver is great for mixed database environments ....
We have no reviews of ValuePair.app yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


TablePlus is a polished native database client known for speed, clean design, and direct data editing. It supports relational databases such as MySQL, PostgreSQL, SQLite, and others, with apps across macOS, Windows, Linux, and iOS. - Source: dev.to / 4 months ago
Best part? It’s standard Postgres. Any tool that speaks Postgres can connect, TablePlus, Retool, Cloudflare Hyperdrive, pgAdmin, even other ORMs. - Source: dev.to / 10 months ago
If you want something sleeker than DBeaver, TablePlus is a beautiful database client. Its free tier is limited but plenty for small dev projects. - Source: dev.to / about 1 year ago
Tracking ValuePair.app since Aug 2026.
When comparing TablePlus and ValuePair.app, you can also consider the following products.

DBeaver - Universal Database Manager and SQL Client.
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A friendship app for people who want fewer, deeper connections.
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Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.
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Open source SQL editor and database manager
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DbVisualizer is the universal database client and SQL tool built for developers, analysts, DBAs, data engineers, and anyone working with data.
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