
Threads App
Buildrs
daily.dev
DevHunt
Warrior Network
50 Hacks
deks
Share your stack with the world

Supabase
Datomic
Vercel
MarkLogic Server
Valentina Server
Firestore
MongoDB
The last database you'll ever need. Go from idea to IPO.

Which is more popular?
Based on our record, PlanetScale seems to be more popular. It has been mentioned 105 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | sharemystack.com | planetscale.com |
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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
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
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PlanetScale Beta - Release Radar
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Share My Stack and PlanetScale. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


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PlanetScale is designed around operational simplicity and production reliability, making it a strong fit for many PostgreSQL workloads. Teams can also review its PostgreSQL compatibility and feature set to ensure it...
Recommendations tracked on public social media and blogs since March 2021.


Tracking Share My Stack since Oct 2023.
PlanetScale | https://planetscale.com/ | Software Engineer - PlanetScale Postgres | Remote (AMER, LATAM & EMEA) | Base range: $120,000 - $290,000 USD I'm the hiring manager for this position. Come build the best Postgres product on the... - Source: Hacker News / 5 months ago
i'll take the opposite side. I was very impressed with their website. The very first line: > The world’s fastest and most scalable cloud databases the second line: > PlanetScale brings you the fastest databases available in the cloud.... - Source: Hacker News / about 1 year ago
Database: It helps storing, managing and retriving data in a structured manner (e.g. NeonDB, PlanetScale, DynamoDB). - Source: dev.to / over 1 year ago
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