Top 5 Reasons to Choose Between Google Cloud Platform over Azure

To meet the three of the basic requirements of today i.e. to compute, store, and develop, the Google cloud platform is all you need. It serves you even more than this along with the following advantages below-

It is economic, it offers its private global fiber network, live migration is easier with the GCP, and assured security patches which usually every cloud computing service provides, and adequate backup storage with the minimal risk of data loss.

The cloud computing consulting services provider i.e. Google itself in this case has been into the feds as well for many times as it is assumed to be collecting every niche and personal data from each of its users, but have been convicted without any acquisition as it has always proved that the data collection is only made to improve the overall performances and meet public expectations.

The users of the Google cloud platform include mostly the IT professionals, the cloud directors, or a user who could be from the general public as well because it is too easy to understand and take advantage from. What all it needs to access is proper hardware that could support an appropriate network connection.

Google Cloud Platform’s other services

Apart from storage, computing, development, the Google cloud platform is capable of being served with some of the latest in-demand technologies of today like Big data, AI, Machine learning, etc. Have heard of many applications in conjunction with IoT as well.

The core cloud computing merchandise in Google Cloud Platform includes basically its three operations i.e. to compute, store, and develop. We can see them in brief and then will have a better understanding of why we should choose GCP over its other competitors?

Beginning with the ‘Computing’ part of its-

Basically, there are three types of engines to compute the data and they include-

I. A ‘Computing Engine’, that involves Virtual Machines, Disks, and Network, and all that comes under the renowned ‘Infrastructure as a Service’.

II. An App Engine which is considered as a platform as a service hosted by Google itself and is used to build web and enterprise mobility solutions. A library is believed to exist here for the help of developers, called the app engine library.

III. And, the third is ‘Container Engine’, which is termed around orchestration and containers which are helpful when any enterprise solution is developed in the form of building blocks to get as much independence as possible for customization.

Storage and Databases

There exist different forms of cloud storage [Object & File Storage and Serving] A unified object storage service, giving a spectrum of storage choices as well as geo-redundant (low-latency, high QPS content serving to users distributed across geographic regions).

Cloud SQL [Managed MySQL] A fully-managed MySQL information service for hosting relative MySQL databases on Google’s infrastructure.

Bigtable [HBase Compatible NoSQL] A high-performance NoSQL huge information service, designed to support terribly giant workloads at consistent low latency and high output rates.

Cloud Datastore [Distributed class-conscious Key/Value Storage] A NoSQL schema-less information for storing non-relational information.

Big Data with Cloud

Big data is one of the most to be used technologies in the upcoming future. It is ready to be the database for all the information required to make things digital as well as automate with the help of machine learning and artificial intelligence like technologies.

BigQuery (A Serverless information reposition & Analytics) helps in managing information warehouses through being an analytics platform.

Cloud information flow is a fully-managed operation with GCP in an appropriate time period for batch and streaming.

Dataproc, Managed Apache Hadoop, Apache Spark, Apache Pig, and Apache Hive service are some of the relevant accustomed methods with giant datasets. There also exist some edi service provider which integrate their cloud-based enterprise software so as to easily exchange the information in between various points of operations.

Machine Learning & Google Cloud Platform

Cloud Machine Learning is a managed service for building machine learning models. Google Cloud Virtual Network [A Software outlined Network] is a collection of Google-managed networking capabilities, as well as granular IP address that vary with choices, routers, firewalls, and Virtual non-public Network (VPN)

However, Cloud Vision API [Image Recognition and Classification] A REST API that may be accustomed to the content, or sight individual objects and faces inside pictures, such that it realizes and browses written words contained inside the pictures.

Note that Google cloud platform does not offer REST API accessibility, unlike Azure. It has to be managed.

Cloud Speech API [Convert Speech to Text feature] again a REST API that may be accustomed to converting audio to text. The API acknowledges over eighty languages and variants.

Cloud Load equalization [A Multi-region Load Distribution system/feature]: It is a service that load-balances and auto-scales GCP cipher resources in single or multiple regions behind one anycast IP

Cloud CDN [Content Delivery Network] Uses Google’s globally distributed edge points of presence to cache HTTP(S) load-balanced content on the brink of users.

Identity and Security of GCP

Google Cloud IAM is an Identity & Access Management feature that lets the directors authorize.

Cloud Resource Manager on the other end is a Cloud Project data Management tool offered by GCP, is a service for programmatically managing the resource containers. It is useful for successful or large scale organizations and enterprise businesses in a way to accustom & hierarchically organize the GCP resources.

Cloud Security Scanner, an App Engine Security Scanner is an internet security scanner for common vulnerabilities in App Engine applications, as well as cross-site-scripting (XSS), Flash injection, mixed content (HTTP in HTTPS), and out-of-date/insecure libraries.

Reasons you should choose GCP over its competitors-

In terms of Costing-

Google cloud platform is preferred for its economic purchase value by a major portion of its user base. In the case of its competitors, let’s say, Azure, to reach equivalent prices, you need to have Microsoft software on-premises deployed first, which also demands some capital to initiate.

Thus, purchasing something to get a discount on the other is foolishly economic.

Google cloud on the same end, provides almost 30% of interest just on using it for a month

Higher Productivity owing to Quick Access to Innovation: Google’s systems can deliver updates efficiently and on a weekly basis.

On the basis of functionality-

Whenever there comes any update, GCP offers the least distractions or lesser than any other of its competitors. Google cloud computing services are known to provide consistent updates but the ways to manage with the changes as well.

Its users are found quite relaxed with the service they get as they stated that there is always secondary support available whenever they face any service interruption meanwhile the development or any other operation they are working in.

They get all the control as an owner to their data and the liberty to choose out the services whenever they desire to. Extraction or migration of the data is effectively easier than its other competitors.

In terms of Security

Google is not just known for its largest user base but has also earned its acquaintance to not have ever lost its customers’ trust by losing any data or have stolen their private information, unlike other tech giants.

Google is trusted to invest a large portion for security purposes only to keep the data of its customer adequately protected. According to the experts that work for Google, a very small amount of the data is stored on vulnerable devices which leads to minimal risk.

Ease of work

Google has its recognition as the easiest service provider also. Employees might exchange the information irrespective of any location to any point of operation across the globe with the least help required from a technical perspective.

Apart from that, no matter what hardware you have, it supports the HDD as well as SSD both at the cheapest available resources.

On Storage Basis

It is believed that GCP offers 64TB of volume size that can be utilized comparatively with better accessibility in terms of read-only and read-write manner.

Other cloud services would offer a lower number of read-write or read-only access than the Google Cloud platform.

There are many other reasons to choose GCP over its competitors, however, there are some lacunae as well which might divert a user to give a thought before choosing one of many options available like Azure from Microsoft and AWS from Amazon, etc.

Make sure to determine your budget, requirements, and business targets first, and then choose a platform as well as adept cloud computing consulting services too which could understand your enterprise business and accommodate accordingly.

Author’s Bio: Scarlett is a technical content writer and is associated with A3logics for over a couple of years. She has a keen interest in enterprise mobility services and is often found struggling with some unique topics for her upcoming projects. She is often found discussing the latest developments with the technical team. When not working on any of her writing projects, she is either reading any of the Agatha Christie mysteries or busy gardening.