
MySQL
Microsoft SQL
SQLite
MongoDB
Oracle DBaaS
Oracle Database 12c
SAP HANA
PostgreSQL is a powerful, open source object-relational database system.

Hevy
Fitbod
JEFIT
MyFitnessPal
Freeletics
FitNotes
Strava
Strenght training logger.

Which is more popular?
Based on our record, PostgreSQL should be more popular than Strong.app. It has been mentioned 19 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | postgresql.org | strong.app |
| Pricing | — | |
| Company | Startup from the United States | Startup from the United States |
| Listed in |
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.


Overall verdict
Why this product is good
Recommended for
No analysis of Strong.app yet.
Walkthroughs and reviews on video.
Comparison of PostgreSQL and MongoDB
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How often each product is chosen within a category, 0–100% relative to the other.


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External articles and on-site reviews we used to compare the two products.


Choosing the right database management system (DBMS) is a crucial decision that directly impacts your project’s performance and scalability. With a variety of options — SQL Server, MySQL, PostgreSQL, MongoDB, Oracle,...
Yes, several tools, such as MySQL, PostgreSQL, and MongoDB, offer free versions. While these are robust, enterprise editions or add-ons may come with additional costs for advanced features and support.
Peliqan acts as a bridge, allowing you to e.g. effortlessly pull your PostgreSQL data into Google Sheets for easy access and analysis using its one-click connector. Additionally, Peliqan’s platform provides a...
The aptly named “Strong” is a simple but effective weightlifting app, offering an intuitive way to track and record your workouts. Available on Apple Watch as well as mobile devices, its value proposition is quite...
Strong: Exercise Gym Log is a gym log similar to FitNotes. You can input all of your exercise routines and track them over time. It includes some unique tools like a warm-up calculator and tips on how to improve...
Recommendations tracked on public social media and blogs since March 2021.


In this new series we will be creating an API written in go, using a framework like Chi, connecting to a PostgreSQL, and have it deployed to a site like Railway. - Source: dev.to / 8 months ago
PostgreSQL 17 Performance Guide — Official docs for the latest performance improvements. - Source: dev.to / 8 months ago
You also might be saying, Why not include the credit and attribution data with the product data and just use one data file? Thats a great question. I could have for the purpose of this demo, but if there were a backend to this project... - Source: dev.to / about 1 year ago
I'm using Strava to track endurance work and strong.app for lifting. I'm pretty happy with Strong, but it is a subscription app if you want to save more than three custom workout routines (they also have some of the popular beginner... Source: over 4 years ago
You should all workouts with a app like strong.app or any other you find. Fitbod also seems to have good stuff now. Check their reviews etc. Source: almost 5 years ago
Looks like a great app! I run 5/3/1 and this is perfect. Currently I use https://strong.app but I'd love to see a way to see my weekly volume per muscle group. Is that something you are planning to add on Hardy? - Source: Hacker News / over 5 years ago
When comparing PostgreSQL and Strong.app, you can also consider the following products.


Simple workout logging, insightful analytics, and a growing community of gym athletes.
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Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.
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Personalized Strength-Training powered by Machine Learning
Compare Fitbod to PostgreSQL or Strong.app:


Jefit is the #1 popular gym workout app for Android and iOS. Jefit allows you to manage your training routine and keep track of your workout progress easily.
Compare JEFIT to PostgreSQL or Strong.app: