Software Alternatives, Accelerators & Startups

Amazon S3 VS Google Cloud Datastore

Compare Amazon S3 VS Google Cloud Datastore and see what are their differences

Amazon S3 logo Amazon S3

Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

Google Cloud Datastore logo Google Cloud Datastore

Cloud Datastore is a NoSQL database for your web and mobile applications.
  • Amazon S3 Landing page
    Landing page //
    2021-11-01

Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.

  • Google Cloud Datastore Landing page
    Landing page //
    2023-09-12

Amazon S3 videos

Introduction to Amazon S3

More videos:

  • Review - Getting Started with Amazon S3 - AWS Online Tech Talks
  • Review - Amazon S3 Review: Amazon S3
  • Review - Amazon S3 Glacier Cloud Storage: What You Need to Know
  • Review - Wasabi vs. Amazon S3

Google Cloud Datastore videos

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

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Category Popularity

0-100% (relative to Amazon S3 and Google Cloud Datastore)
Cloud Hosting
100 100%
0% 0
Databases
0 0%
100% 100
Cloud Computing
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Amazon S3 and Google Cloud Datastore

Amazon S3 Reviews

Best Top 12 MEGA Alternatives in 2024
Amazon Simple Storage Service (Amazon S3) is an object storage service with industry-leading scalability, data availability, security, and performance. The service is particularly suitable for enterprise users to manage collect, store, protect, back-up, retrieve, and analyze data.
Top 10 Netlify Alternatives
Amazon S3 is referred to as Amazon Simple Storage Service. It is basically a cloud storage service that was initially released in 2006. This product of Amazon Web Services (AWS) handles big data analytics, provides online data backups and helps in web-scale computing.
What are the alternatives to S3?
Sometimes Amazon S3 might not be serving you as you need and need some features or want to move out of the big 3 providers due to charges of which you’re not using much of their services. There are many alternatives to object storage that you can use at a far lower cost than what you pay on Amazon S3. And storing data traditionally can become complicated sometimes, whereby...
Source: www.w6d.io
Wasabi, Storj, Backblaze et al, are promising 80%+ savings compared to Amazon S3... What's the catch?
When you use a Big 3 provider, like Azure Blob Storage or Amazon S3, you’re often paying for reliable storage that a vast swath of enterprises with low-risk tolerance can bet the farm on. Azure has a wide range of options for replication (which has a considerable impact on the reliability of your storage), including LRS (Low Redundancy Storage) if you want to save some cost....
Source: dev.to
16 Top Big Data Analytics Tools You Should Know About
The collected data can be easily integrated with the Amazon family of big data services in storage (Amazon S3), Amazon DynamoDB (the No-SQL database for unstructured data), and Amazon RedShift (data warehouse product).

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, Amazon S3 seems to be a lot more popular than Google Cloud Datastore. While we know about 175 links to Amazon S3, we've tracked only 7 mentions of Google Cloud Datastore. 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.

Amazon S3 mentions (175)

  • How to Setup a Project That Can Host Up to 1000 Users for Free
    When dealing with image processing, we can use S3 and our own transformers, but in order to simplify development, better to use some free SaaS solution. We can rely on it when dealing with a common set of problems. Every image uploaded can be dynamically transformed to any thumbnail size, file format, and quality so we are able to test different settings that best fit user expectations. All images can be... - Source: dev.to / 20 days ago
  • A step-by-step guide to building an MLOps pipeline
    The meta-data and model artifacts from experiment tracking can contain large amounts of data, such as the training model files, data files, metrics and logs, visualizations, configuration files, checkpoints, etc. In cases where the experiment tool doesn't support data storage, an alternative option is to track the training and validation data versions per experiment. They use remote data storage systems such as S3... - Source: dev.to / 20 days ago
  • Deploy a Static React Site Using AWS S3 and CloudFront
    In this tutorial, I will walk you through building a quick static site by doing a static build using ReactJS & create-react-app, then show you how to deploy that static site on AWS using S3 buckets as well as how to cache it & add SSL certificates with CloudFront CDN & Certificate Manager. - Source: dev.to / about 1 month ago
  • Secure Pattern for Deploying WASM on S3
    The main stars for deploying WASM on S3 are CloudFront and of course S3. Those two services will do the heavy lifting with our compiled WASM distribution. - Source: dev.to / about 1 month ago
  • Event-Driven Architecture on AWS
    Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers). - Source: dev.to / about 2 months ago
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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 / about 1 month 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 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: over 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
View more

What are some alternatives?

When comparing Amazon S3 and Google Cloud Datastore, you can also consider the following products

AWS Lambda - Automatic, event-driven compute service

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

Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.

Objective ECM - Objective ECM is a secure and reliable Enterprise Content Management software that empowers users to manage their content and build powerful business processes.

Minio - Minio is an open-source minimal cloud storage server.

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