Software Alternatives, Accelerators & Startups

PlanetScale VS QlikSense

Compare PlanetScale VS QlikSense and see what are their differences

PlanetScale logo PlanetScale

The last database you'll ever need. Go from idea to IPO.

QlikSense logo QlikSense

A business discovery platform that delivers self-service business intelligence capabilities
  • PlanetScale Landing page
    Landing page //
    2023-10-15
  • QlikSense Landing page
    Landing page //
    2022-08-02

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

QlikSense videos

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

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Category Popularity

0-100% (relative to PlanetScale and QlikSense)
Databases
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Developer Tools
100 100%
0% 0
Business Intelligence
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, PlanetScale seems to be more popular. It has been mentiond 100 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.

PlanetScale mentions (100)

  • Good alternatives to Heroku
    Planetscale - Directly from their website: "PlanetScale is a MySQL-compatible serverless database that brings you scale, performance, and reliability — without sacrificing developer experience.". - Source: dev.to / about 1 month ago
  • MySQL or Top Alternatives in 2024 and How to Choose One
    PlanetScale is a MySQL-compatible database that offers scale, performance, and reliability, and many more powerful database features. Leveraging cloud-native architecture, PlanetScale enables organizations to deploy, manage, and scale MySQL-compatible databases with ease. With features such as automatic sharding, distributed transactions, and high availability, PlanetScale enables businesses to handle large... - Source: dev.to / about 2 months ago
  • Breaking the Myth: Scalable, Multi-Region, Low-Latency App Exists And Will Not Cost You A Kidney.
    For MySQL, we've got PlanetScale, and for PostgreSQL, there's Neon. - Source: dev.to / 3 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Planetscale - PlanetScale is a MySQL-compatible, serverless database platform powered by Vitess, one database for free with 1 Production branch and 1 Development branch, 5GB storage, 1 Billion rows read/mo per database, and 10 Million rows written/mo per database. - Source: dev.to / 5 months ago
  • Self-hosting Ghost with Docker and PlanetScale
    PlanetScale and Ghost were previously incompatible due to differences in their support for foreign key constraints. With PlanetScale now supporting foreign key constraints, a seamless collaboration between the two is achievable. Nonetheless, there remain minor incompatibilities that require resolution. - Source: dev.to / 6 months ago
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QlikSense mentions (0)

We have not tracked any mentions of QlikSense yet. Tracking of QlikSense recommendations started around Mar 2021.

What are some alternatives?

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

Supabase - An open source Firebase alternative

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

Datahike - A durable datalog database adaptable for distribution.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.