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Google Cloud PostgreSQL VS Kaggle Datasets

Compare Google Cloud PostgreSQL VS Kaggle Datasets and see what are their differences

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Google Cloud PostgreSQL logo Google Cloud PostgreSQL

Fully-managed database service

Kaggle Datasets logo Kaggle Datasets

Share, collaborate on, and analyze open data
  • Google Cloud PostgreSQL Landing page
    Landing page //
    2023-09-29
  • Kaggle Datasets Landing page
    Landing page //
    2023-10-17

Category Popularity

0-100% (relative to Google Cloud PostgreSQL and Kaggle Datasets)

Google Cloud PostgreSQL

Kaggle Datasets

Developer Tools
67 67%
Developer Tools
33% 33
Databases
83 83%
Databases
17% 17
Web Scraping
0 0%
Web Scraping
100% 100
Productivity
100 100%
Productivity
0% 0

User comments

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Social recommendations and mentions

Based on our record, Google Cloud PostgreSQL seems to be more popular. It has been mentiond 5 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.

Google Cloud PostgreSQL mentions (5)

  • Questions about 'databaseing' on the Cloud
    For a small database you don't need Snowflake. You need Postgres or MySQL. Power BI for visualizing data seems fine. For entering data you can use Airforms. Source: 10 months ago
  • Distributed Managed PostgreSQL Database Alternatives in the Cloud
    PostgreSQL is an open-source relational database, used by many companies, and is very common among cloud applications, where companies prefer an open-source solution, supported by a strong community, as an alternative to commercial database engines. The simplest way to run the PostgreSQL engine in the cloud is to choose one of the managed database services, such as Amazon RDS for PostgreSQL or Google Cloud SQL... - Source: dev.to / about 1 year ago
  • Get data from Cloud SQL with Python
    For the database, I used Cloud SQL, which is a managed database service from Google Cloud Platform (GCP). This GCP product provides a cloud-based alternative to MySQL, PostgreSQL and SQL Server databases. The great advantage of Cloud SQL is that it is a managed service, that is, you do not have to worry about some tasks related to the infrastructure where the database will run, tasks such as backups, maintenance... - Source: dev.to / almost 2 years ago
  • How do I deploy my application on pythonanywhere?
    Database: Managed Postgres -- "Cloud SQL". Source: over 2 years ago
  • Fully Managed PostgreSQL for Google Cloud
    Why would not just use https://cloud.google.com/sql/docs/postgres ? Source: almost 3 years ago

Kaggle Datasets mentions (0)

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

What are some alternatives?

When comparing Google Cloud PostgreSQL and Kaggle Datasets, you can also consider the following products

Supabase - An open source Firebase alternative

Dataset Search - Making it easier to discover datasets. Made by Google.

SQL playground - Create a private PostgreSQL database with a predefined structure & test data in the shortest time.

SnowyOwl - A user friendly tool to manage your dataset

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

Linkclump - Linkclump is a tool related to productivity that allows users to speed up their analysis and capturing of links found on the web.

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