Software Alternatives & Reviews

Hightouch Audiences VS PlanetScale

Compare Hightouch Audiences VS PlanetScale and see what are their differences

Hightouch Audiences logo Hightouch Audiences

Use data without SQL

PlanetScale logo PlanetScale

The last database you'll ever need. Go from idea to IPO.
  • Hightouch Audiences Landing page
    Landing page //
    2023-08-04
  • PlanetScale Landing page
    Landing page //
    2023-10-15

Hightouch Audiences videos

No Hightouch Audiences videos yet. You could help us improve this page by suggesting one.

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PlanetScale videos

PlanetScale Beta - Release Radar

More videos:

  • Review - Using PlanetScale (MySQL) with Next.js and Vercel!
  • Review - PlanetScale and Prisma: building in the cloud - Nick Van Wiggeren | Prisma Day 2021

Category Popularity

0-100% (relative to Hightouch Audiences and PlanetScale)
Developer Tools
22 22%
78% 78
Databases
15 15%
85% 85
Vitess
11 11%
89% 89
Data Integration
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, PlanetScale seems to be more popular. It has been mentiond 98 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Hightouch Audiences mentions (0)

We have not tracked any mentions of Hightouch Audiences yet. Tracking of Hightouch Audiences recommendations started around Apr 2022.

PlanetScale mentions (98)

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What are some alternatives?

When comparing Hightouch Audiences and PlanetScale, you can also consider the following products

Supabase - An open source Firebase alternative

Unbounded - Serverless NoSQL database you query with JavaScript

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

pREST - A fully RESTful API from any existing PostgreSQL database written in Go

Datomic - The fully transactional, cloud-ready, distributed database

SnowyOwl - A user friendly tool to manage your dataset