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

Postio.co.uk
Ideal postcodes
Fetchify
Smarty
Data8 UK
ZIP Code API
Data8 UK PredictiveAddress
The most affordable postal code API. 240+ countries, sub-5 ms responses. Simple, elegant, transparent.

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 | postaldatapi.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 TablePlus yet.
PostalDataPI is a global postal code validation and enrichment API covering 240+ countries and territories. One API, one key, one flat rate — $0.000028 per query with no tiers or subscriptions. What you get back: Up to 18 metadata fields per postal code — city, state/region, coordinates,...
What each product offers, as listed by its team.


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


No analysis of TablePlus yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
09 - Instalar TablePlus en Mac
PostalDataPI Now Returns 18 Fields Per Postal Code — for 240+ Countries
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using TablePlus and PostalDataPI. 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 PostalDataPI 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 / 5 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 / 11 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 PostalDataPI since Apr 2026.
When comparing TablePlus and PostalDataPI, you can also consider the following products.

DBeaver - Universal Database Manager and SQL Client.
Compare DBeaver to TablePlus or PostalDataPI:

Fast UK address, email & phone validation APIs for developers. Official Royal Mail PAF data. Pay as you go, 100 free lookups.
Compare Postio.co.uk to TablePlus or PostalDataPI:


We help businesses improve UX and data quality with a cutting edge address validation service.
Compare Ideal postcodes to TablePlus or PostalDataPI:

Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.
Compare Navicat to TablePlus or PostalDataPI:

Fetchify delivers fast, accurate address, email, phone and bank validation tools that help businesses capture clean, verified customer data, reduce failed deliveries and improve checkout experiences worldwide.
Compare Fetchify to TablePlus or PostalDataPI: