Software Alternatives, Accelerators & Startups

Google Cloud Datastore VS DrawSQL

Compare Google Cloud Datastore VS DrawSQL and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Google Cloud Datastore logo Google Cloud Datastore

Cloud Datastore is a NoSQL database for your web and mobile applications.

DrawSQL logo DrawSQL

Easy database diagrams. Create, visualize and collaborate on your database entity relationship diagrams.
  • Google Cloud Datastore Landing page
    Landing page //
    2023-09-12
  • DrawSQL Landing page
    Landing page //
    2022-10-03

DrawSQL is a simple, beautiful database diagram editor for developers to 🚧 create, 💬 collaborate and 👀 visualize their entity relationship diagrams.

DrawSQL

$ Details
freemium $15.0 / Monthly
Platforms
Browser
Release Date
2018 November

Google Cloud Datastore features and specs

  • Scalability
    Google Cloud Datastore can automatically scale to handle large amounts of data and high read/write loads, making it suitable for applications with growing data needs.
  • Fully Managed
    As a fully managed service, Google Cloud Datastore eliminates the need for managing servers, software patches, and replication, allowing developers to focus on building applications.
  • High Availability
    Datastore provides strong consistency for reads and writes and is designed to maintain availability even in case of entire data center outages.
  • Flexible Data Model
    The schemaless nature of Datastore allows for a flexible data model that can easily adapt to changes in application requirements.
  • Integration with Google Cloud Platform
    Datastore seamlessly integrates with other Google Cloud Platform services, which simplifies the process of building end-to-end solutions.

Possible disadvantages of Google Cloud Datastore

  • Complex Query Language
    Datastore Query Language (GQL) can be less intuitive compared to SQL, which may pose a learning curve for developers accustomed to traditional relational databases.
  • Eventual Consistency for Queries
    While Datastore offers strong consistency for entity lookups by key, queries must be specifically configured for strong consistency, otherwise they might return eventually consistent data.
  • Cost
    As usage scales, costs can increase, particularly for applications with high write loads or those requiring many transactional operations, which might be a consideration for budget-conscious projects.
  • Limited Relational Capabilities
    Datastore is a NoSQL database, which means it lacks some of the relational features like joins and complex transactions that developers might expect from a SQL database.
  • Index Management
    Managing indexes can become complex, as every query in Datastore requires a corresponding index, and poorly planned indexes can lead to increased storage costs and slower query performance.

DrawSQL features and specs

  • Easy to Set-up and use
  • Clean UI
  • Free Trial

Google Cloud Datastore videos

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DrawSQL videos

DrawSQL: Create and visualize beautiful database entity relationship diagrams.

Category Popularity

0-100% (relative to Google Cloud Datastore and DrawSQL)
Databases
73 73%
27% 27
Developer Tools
0 0%
100% 100
Relational Databases
100 100%
0% 0
SQL Diagrams
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, DrawSQL should be more popular than Google Cloud Datastore. It has been mentiond 11 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 Datastore mentions (7)

  • Using Google Cloud Firestore with Django's ORM
    A long time ago, a fork of Django called “Django-nonrel” experimented with the idea of using Django’s ORM with a non-relational database; what was then called the App Engine Datastore, but is now known as Google Cloud Datastore (or technically, Google Cloud Firestore in Datastore Mode). Since then a more recent project called "django-gcloud-connectors" has been developed by Potato to allow seamless ORM integration... - Source: dev.to / 12 months ago
  • How to deploy flask app with sqlite on google cloud ?
    In that case use Cloud Datastore (aka Firestore in Datastore Mode). It's a NoSQL db that was initially targeted just for GAE (you needed to have a GAE App even if empty to use it) but that requirement has been relaxed. Source: about 2 years ago
  • Is Cloud Run a good choice for a portfolio website?
    As u/SierraBravoLima said - If you don't really need containerization, you can go with Google App Engine (Standard). If you need to store data, GAE will work with cloud datastore which has a large enough free tier. Source: about 3 years ago
  • Help! Difference between native and datastore
    Datastore mode had its start in App Engine's early days (launched in 2008), where its Datastore was the original scalable NoSQL database provided for all App Engine apps. In 2013, Datastore was made available all developers outside of App Engine, and "re-launched" as Cloud Datastore. In 2014, Google acquired Firebase for its RTDB (real-time database). Both teams worked together for the next 4 years, and in 2017,... Source: about 3 years ago
  • I'm a dev ID 10 T please help me
    Database: datastore should be very cheap, or you could just output as csv text and copy into Google Sheets (free!). Source: over 3 years ago
View more

DrawSQL mentions (11)

  • How Changing Requirements Shape the Infrastructure of a Software Project
    So I started designing the DB using this cool tool. The project has 2 tables, users and categories . The user can create many categories as he wants so the first approach I took was creating a third table, a union table to store user_id and category_id. With this solution the users are able to create x numbers of categories and we can see assign the category to the user. - Source: dev.to / 2 months ago
  • Creating Diagrams and Databases with Online Tools
    Once you have generated the SQL code, you can convert it into a relational schema (the graphical table model) using DrawSQL. This tool offers:. - Source: dev.to / 3 months ago
  • 🖌️ 5+1 Online Tools for Sketches, Wireframes, Drawings, and Diagrams
    DrawSQL makes it easy for teams to collaborate on creating and maintaining schema diagrams. With a single source of truth, there's no need for manually syncing diagram files between different developers and offline tools anymore. Source: almost 2 years ago
  • Newbie: Trying to use Supabase Auth fully with its database.
    To be honest, since you are just getting started, I think you should reconsider simplifying this app to begin with. Built something easier and get some more experience before jumping in the ocean. Maybe start by focusing only on the parent company and sub-companies. However, I strongly recommend you to try and make a diagram of your database with relations and columns as it can you a lot of time. I personally use... Source: almost 2 years ago
  • Sites that list SQL schemas/database diagrams?
    After googling some, I found DrawSQL, which is a start. But I don't like its interface, and the inability to download the schemas in any form (at least not from what I can see). Source: over 2 years ago
View more

What are some alternatives?

When comparing Google Cloud Datastore and DrawSQL, you can also consider the following products

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.

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

DBDiagram.io - Free database diagrams designer for analysts & developers 🛠

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

PopSQL - Modern SQL editor for teams