Difference Between Google Cloud and AWS

Google Cloud Platform: It is a suite of cloud computing services developed by Google and launched publicly in 2008. Google Cloud Platform provides IaaS, PaaS, and serverless computing environments. A comparatively new Google Cloud Platform has all the tools and services required by developers and professionals.

Amazon Web Services(AWS): It provides on-demand cloud computing platforms and APIs. AWS platform was initially launched in 2002. However, AWS was officially re-launched in 2006 with three initial service offerings of Amazon S3 cloud storage, SQS, and EC2. AWS comprises more than 212 services including computing, storage, networking, database, analytics, application services, deployment, management, developer tools, etc. In terms of services, AWS has an edge over its competitors, as the amount of services offered by AWS is way more than any of its contemporaries.


Below is a table of differences between Google Cloud and Amazon Web Services:

Features Google Cloud Amazon Web Services
Offered By Google Amazon
Computing Service Google Compute Engine API (IaaS), App Engine (PaaS), Kubernetes Engine (Container), Cloud Functions (Serverless Functions) Amazon Elastic Compute Cloud (IaaS), Elastic Beanstalk(PaaS), Elastic Compute Cloud Container Service (Container), AWS Lambda (Serverless Functions)
Database Services Google Cloud SQL (RDBMS), Google Cloud Datastore, Google Cloud Bigtable (NoSQL Key–Value), Google Cloud Datastore (NoSQL: Indexed) Amazon Relational Database Service (RDBMS), Amazon DynamoDB (NoSQL Key–Value), Amazon SimpleDB (NoSQL Indexed)
Storage Services Google Cloud Storage (Object Storage), Google Compute Engine Persistent Disks (Block Storage), ZFS/Avere (File Storage), Google Cloud Storage Nearline (Cold Storage) Amazon Simple Storage Service (Object Storage), Amazon Elastic Block Store (Block Storage), Amazon Elastic File System (File Storage), Amazon Glacier (Cold Storage)
Management Services Stackdriver Monitoring (Monitoring), Google Cloud Deployment Manager (Deployment) Amazon CloudWatch (Monitoring), AWS CloudFormation (Deployment)
Network Services Virtual Private Cloud, Google Cloud Load Balancing, Google Cloud Interconnect, Google Cloud DNS Amazon Virtual Private Cloud, Elastic Load Balancer, Direct Connect, Amazon Route 53
Customization of instances Google Cloud Platform provides a wide range of customization for any Instance AWS provides limited customization.
Pricing Google charges per minute basis Amazon charges per hour basis
Cost Google free tiers have no time limit. GCP provides $300 worth credit that can be used across all services. Hence, GCP is comparatively cheaper. Amazon free tiers have a maximum validity of 12 months and later charges as per usage. Hence, AWS is costlier.
Downtime GCP had reported more downtime compared to AWS AWS had reported lesser downtime compared to GCP which makes it a clear winner in this case
Big data support Big data analysis tool is AI First Big data analysis tool is AWS Lambda.
AI/ML Support Cloud Machine Learning Engine, Dialogflow Enterprise Edition, Cloud Natural Language, Cloud Speech API, Cloud Translation API, Cloud Video Intelligence, Cloud Job Discovery Tools offered by AWS for AI/ML are SageMaker, Comprehend, Lex, Polly, Rekognition, Machine Learning, Translate, Transcribe, DeepLens, Deep Learning AMIs, Apache MXNet, TensorFlow
Availability GCP is available in 20 geographic regions and 61 zones worldwide AWS is available at 21 geographic regions and 66 zones worldwide
Companies using Spotify, HSBC, Home Depot, Snapchat, Philips, Coca Cola, Domino’s and many more Netflix, Twitch, LinkedIn, Facebook, ESPN, Citrix, Expedia and many more
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