Software Alternatives & Reviews

Backendless VS Google Cloud Datastore

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

Backendless logo Backendless

Backendless is a mobile Backend as a Service (mBaaS) platform.

Google Cloud Datastore logo Google Cloud Datastore

Cloud Datastore is a NoSQL database for your web and mobile applications.
  • Backendless Landing page
    Landing page //
    2023-07-20
  • Google Cloud Datastore Landing page
    Landing page //
    2023-09-12

Backendless videos

Backendless 5 Release Overview (webinar)

More videos:

  • Review - Functionality Visibility Control in Backendless Console
  • Review - Backendless version 3.0 Overview

Google Cloud Datastore videos

No Google Cloud Datastore videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Backendless and Google Cloud Datastore)
Developer Tools
100 100%
0% 0
Databases
44 44%
56% 56
NoSQL Databases
31 31%
69% 69
Realtime Backend / API
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Backendless and Google Cloud Datastore

Backendless Reviews

2023 Firebase Alternatives: Top 10 Open-Source & Free
There are three comprehensive plans of this BaaS vendor: Backendless Cloud, Pro and Managed. But it only opened the pricing details of Backendless Cloud in this regard. Here are the key components of Backendless Cloud pricing:
Firebase Alternatives – Top 10 Competitors
Backendless is a highly scalable mobile Backend-as-a-Service (mBaaS) platform providing gazillion of features, including user authentication, live audio and video streaming, message filtering, push notifications, auto-scalability, data persistence, file storage, geo-location, cloud-code, analytics, and custom business logic. It has it all what you need to build awesome...

Google Cloud Datastore Reviews

We have no reviews of Google Cloud Datastore yet.
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Social recommendations and mentions

Based on our record, Backendless should be more popular than Google Cloud Datastore. It has been mentiond 21 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.

Backendless mentions (21)

  • Ap Developer
    Go here: https://backendless.com/ . If that don't work for you, Let me know and I'll tell you what next to do. Source: about 1 year ago
  • Join the Free Database Training Course From Backendless
    This article first appeared on https://backendless.com. - Source: dev.to / about 1 year ago
  • free-for.dev
    Backendless.com — Mobile and Web Baas, with 1 GB file storage free, push notifications 50000/month, and 1000 data objects in table. - Source: dev.to / over 1 year ago
  • How Much Does Custom Software Development Cost?
    Luckily, instead of building the backend from scratch, some backend Application Programming Interfaces (APIs) are available. Consider the following options: REST API, Firebase, Backendless, and JHipster. Using APIs is a great way to adopt a functional backend with lower custom software development pricing. - Source: dev.to / over 1 year ago
  • Urgent: Low code / No Code App Builders
    The best no-code/low-code platform for building both the frontend and backend in one place is Backendless. They have the best backend features and a really solid UI Builder that gives you pretty much all capabilities you'll likely need. Source: almost 2 years ago
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Google Cloud Datastore mentions (6)

  • 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 1 year 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 2 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 2 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 2 years ago
  • 8 hidden Data Science Job Roles: The Secret of Successful Career transition in 2021 | Skillslash
    Extensive working knowledge in several cloud-based data management services like Amazon web services (AWS) cloud (EC2, Lambda, etc.), Oracle Cloud, Google cloud database, MongoDB, IBM db2, etc. Source: over 2 years ago
View more

What are some alternatives?

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

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

Micro Focus Content Manager - Micro Focus Content Manager is an easy-to-use document and records management system that helps capture, manage, and secure business information, whether it’s digital or physical data.

CenturyLink Cloud - CenturyLink Cloud offers the secure and reliable enterprise cloud services.

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

Oracle TimesTen - TimesTen is an in-memory, relational database management system with persistence and...

SOLIXCloud ECS - SOLIXCloud ECS is a cloud-based CMS platform that is designed for organizations in order to store, organize, and securely govern data.