Google Cloud Vs AWS
Three main players of business cloud services have an array of products covering the users needs for their online operations. But there are some differences not only in pricing but also in how they name and group their services, so let’s compare each other and find out what they offer.
WHY THE CLOUD COMPUTING?
Many famous companies from both the public and the private sector such as Netflix, Airbnb, Spotify, Expedia, PBS, and much more relies on cloud services for supporting their online operations. This allows them to focus on doing what they’re known for, and let many of the technicalities be taken care of by an infrastructure that already exists and is constantly being upgraded.
Cloud service is not limited to only big names. Today, we live in a world where both a huge business, and individual entrepreneur with no initial capital, can access world-class infrastructure for storage, computing, and management to make the next massive online services.
LET’S DIFFERENTIATE BETWEEN AWS AND GOOGLE CLOUD
Amazon introduced “commoditized” cloud computing services through its first AWS service launched in 2004, and ever since then they kept innovating and adding features, which allowed them having the upper hand in the business by building the most extensive array of services and solutions for the cloud. In many regards, it is the most expensive one.
Google, came into the game and is quickly coming to a level, by bringing its own infrastructure and ideas, offering deals, and pulling the prices down.
Storage is the key pillar for cloud services. In the cloud, the user can store with the same ease from a group of GBs (gigabytes) to several PBs (petabytes). This is not a regular hosting for which you just need a user and password to upload files to an FTP. Instead, the user needs to interact with APIs or third-party programs, and it may take some time before the user is ready to operate the storage entirely in the cloud. To store objects, Amazon Simple Storage Service (S3) is the service that’s been running from pretty long time, it has extensive documentation, including free webinars, tons of sample code and libraries. Of course, Google Cloud Storage is a service that’s as reliable and robust, but the resources you’ll find don’t come even close that of Amazon’s.
The challenges of big data are dealing with incredibly large data sets, making sense of them, using them to make predictions, and even helping to model completely new situations like new products, services, treatments etc. This requires a specific technology and programming models, one of which is MapReduce, which was developed by Google. such as BigQuery (managed data warehouse for large-scale data analytics), Cloud Dataflow (real-time data processing), Cloud Dataproc (managed Spark and Hadoop), Cloud Datalab (large-scale data exploration, analysis, and visualization), Cloud Pub/Sub (messaging and streaming data). Elastic MapReduce (EMR) and HDInsight are Amazon’s and Azure’s take on big data, respectively.
When deploying the services, the user may want to choose a data centre that’s close to their primary target of users. For instance, if you’re doing real estate or retail hosting on the West Coast of the United States, you’ll want to deploy your services right there to minimize the latency and provide a better user experience (UX). Amazon has the most extensive coverage whereas, Google has a solid coverage in the United states but it is falling behind in Europe and South America.