AWS vs Azure vs GCP | Amazon Web Services vs Microsoft Azure vs Google Cloud Platform | Simplilearn

[00:00] foreign

[00:08] Computing the competition for leadership

[00:11] is a quite tough three-way race Amazon

[00:14] web services Microsoft Azure and Google

[00:17] Cloud platform clearly are the top Cloud

[00:20] companies who have a commanding lead in

[00:22] the infrastructure as a service and

[00:24] platform as service markets hey everyone

[00:27] I'm Lance and I want to welcome you all

[00:29] to this new video from Simply learn on

[00:32] AWS versus Azure versus gcp in this

[00:37] video we will compare and contrast AWS

[00:40] Azure and gcp based on a few related

[00:44] Concepts around these cloud computing

[00:46] platforms it will help us understand the

[00:49] functioning of these top Cloud platforms

[00:51] and will also let us figure out the

[00:53] individuality of each one of them but

[00:56] before starting with the comparison

[00:57] let's have a quick introduction of AWS

[01:00] versus Azure versus gcp so let's get

[01:04] started

[01:06] Amazon web services or AWS is a cloud

[01:10] computing platform that manages and

[01:13] maintains hardware and infrastructure

[01:15] reducing the expense and complexity of

[01:18] purchasing and running resources on site

[01:21] for businesses and individuals

[01:24] these resources are available for free

[01:26] or for a fee per usage

[01:30] Microsoft Azure is a cloud computing

[01:33] service that offers a collection of

[01:35] Cloud Computing Services for building

[01:37] testing deploying and managing

[01:40] applications in the cloud including

[01:42] remotely hosted and managed versions of

[01:45] Microsoft Technology

[01:47] Google Cloud platform offers a variety

[01:49] of Cloud Computing Services for building

[01:52] deploying scaling monitoring and

[01:55] operating a cloud

[01:57] the services are identical to those that

[01:59] power Google products such as Google

[02:01] search Gmail YouTube and Google Drive

[02:05] now let's move on to the comparison

[02:08] between AWS Azure and gcp

[02:12] we will be comparing them based on a few

[02:14] major parameters like origin

[02:18] service integration

[02:21] availability Zone

[02:24] Cloud tools like compute

[02:27] storage

[02:29] networking

[02:31] market share

[02:33] pricing

[02:35] and at last who uses them

[02:38] now let's move ahead and start with the

[02:40] first comparison origin

[02:43] in the year 2006 Amazon web services or

[02:47] AWS was introduced to the market

[02:50] and in the year 2010 Azure launched its

[02:53] services whereas on the other hand gcp

[02:56] was established in the year 2008.

[02:59] from the start AWS has been supportive

[03:02] of the open source concept but the open

[03:05] source Community has a tense

[03:07] relationship with azure

[03:09] on the other hand gcp similar to AWS

[03:13] provides Google cloud with managed open

[03:16] source services that are tightly linked

[03:19] AWS offers services on a large and

[03:22] complex scale that could be manipulated

[03:25] but Azure support is comparatively low

[03:28] quality whereas gcp's monthly support

[03:30] price is almost a hundred and fifty

[03:33] dollars for the silver class which is

[03:36] the most basic of services and is quite

[03:39] expensive

[03:40] now let's move on to the service

[03:42] integration of these Cloud platforms

[03:45] service integration is a set of tools

[03:47] and technology that connects different

[03:49] applications systems repositories and

[03:53] data and process interchange in real

[03:55] time

[03:56] AWS makes it simple for users to combine

[04:00] services such as Amazon ec2 Amazon S3

[04:04] Beanstalk and others and on the other

[04:07] hand Azure allows customers to

[04:10] effortlessly combine Azure VMS as your

[04:13] app service SQL databases and other

[04:16] services whereas users can utilize gcp

[04:19] to combine services such as compute

[04:22] engine cloud storage and Cloud SQL now

[04:25] that we know briefly about all these

[04:27] Cloud platforms let's have a look at the

[04:29] availability zones of these platforms

[04:32] because AWS was the first in the cloud

[04:35] domain they have had more time to build

[04:37] and extend their network but Azure and

[04:41] gcp both have various locations around

[04:44] the world

[04:45] but the distinction is in the amount of

[04:48] availability zones they have AWS now

[04:51] offers 66 availability zones with an

[04:54] additional 12 on the pipeline close to

[04:57] it Azure is available in 140 countries

[05:01] and is available in 54 regions

[05:03] throughout the world but Google Cloud

[05:06] platform is now available in 20 Global

[05:08] areas with three more on the way

[05:12] now let's move on to the next important

[05:15] factor which is tools

[05:17] now let's move ahead and have a look at

[05:19] the first feature which is compute

[05:23] elastic compute cloud or ec2 is aws's

[05:28] compute service which offers a wide

[05:30] range of features including a large

[05:32] number of instances support for both

[05:34] windows and Linux high performance

[05:36] Computing and more Azure on the other

[05:39] hand as virtual machines is Microsoft

[05:42] azure's core cloud-based compute

[05:45] solution

[05:45] it includes Linux Windows server and

[05:49] other operating systems as well as

[05:51] better security and Microsoft program

[05:53] integration

[05:55] in comparison to its competitors

[05:57] Google's Computing Services catalog is

[06:00] somewhat smaller compute engine that

[06:03] companies principal service offers

[06:04] custom and pre-defined machine types per

[06:08] second invoicing Linux and Windows

[06:10] support and carbon neutral

[06:12] infrastructure that uses half the energy

[06:14] of traditional data centers

[06:17] within the compute category Amazon's

[06:20] different container services are gaining

[06:22] prominence it has Docker kubernetes and

[06:26] it's also fargate service which

[06:28] automates server and cluster management

[06:30] when using containers as well as other

[06:33] alternatives

[06:36] Azure unlike AWS uses virtual machine

[06:39] scale sets of two container services

[06:43] Azure container services is based on

[06:45] kubernetes and container service uses

[06:48] Docker Hub and Azure container registry

[06:51] for management

[06:52] for Enterprises interested in deploying

[06:55] containers Google offers the kubernetes

[06:57] engine and it's also worth noting that

[07:00] Google was significantly involved in the

[07:02] kubernetes project providing an

[07:04] extensive knowledge in this field

[07:08] now let's move on to the next parameter

[07:10] of comparison which is storage

[07:13] simple storage service for object

[07:15] storage elastic block storage for

[07:17] persistent block storage and elastic

[07:19] file system for file storage are among

[07:22] aws's storage offerings

[07:25] yeah block storage for rest based object

[07:28] storage of unstructured data Q storage

[07:31] for a large volume workload file storage

[07:34] and disk storage are among Microsoft

[07:37] Azure core storage services

[07:39] gcp offers an increasing number of

[07:42] storage options its unified object

[07:45] storage service cloud storage also has a

[07:48] persistent disk option relational

[07:50] database service or RDS

[07:53] dynamodb no SQL database elastic and

[07:57] memory data store redshift data

[08:00] warehouse Neptune graph database and

[08:02] database migration service are all SQL

[08:05] compatible databases offered by Amazon

[08:10] the database choices in Azure are

[08:12] specifically wide SQL database mySQL

[08:16] database and postgre SQL database are

[08:19] the three SQL based choices

[08:22] now when it comes to databases gcp

[08:24] offers the sql-based cloud SQL and Cloud

[08:28] spanner a relational database built for

[08:31] Mission critical workloads now the next

[08:33] parameter is networking

[08:37] AWS uses Amazon virtual private cloud or

[08:40] VPC

[08:42] on the other hand Azure uses Azure

[08:45] virtual Network or v-net

[08:48] and gcp uses Cloud virtual Network now

[08:51] let's move on to another factor which is

[08:54] market share and pricing

[08:56] all these cloud services are based on

[08:58] comparative pricing strategies which

[09:00] means you need to pay on the basis of

[09:03] its usage

[09:04] according to Canalis the worldwide Cloud

[09:07] Market Rose 35 percent to 41.8 billion

[09:11] in the first quarter of 2021. AWS

[09:14] accounts for 32 percent of the market

[09:17] with Azure accounting for 19 and Google

[09:20] accounting for seven percent

[09:23] on one hand Amazon charges on a yearly

[09:25] basis and on the other hand Microsoft

[09:28] Azure and Google services charge on a

[09:31] minute basis and also all of them

[09:34] provide you a standard price for you to

[09:36] access these services

[09:38] AWS charges roughly 69 dollars per month

[09:41] for a very basic instance with two

[09:44] virtual CPUs and eight gigabytes of RAM

[09:47] and AWS largest instance with 3.84 TB of

[09:51] RAM and 128 vcpus will set you back

[09:56] roughly

[09:57] 3.97 per hour but in Azure the same type

[10:01] of instance one with two vcpus and eight

[10:04] gigabytes of RAM cost roughly 70 U.S per

[10:08] month and azure's largest instance has

[10:12] 3.89 TB of RAM and 128 virtual CPUs and

[10:17] it cost about

[10:18] 6.79 per hour

[10:22] compared to AWS gcp will supply you with

[10:25] the most basic instance which includes

[10:28] two virtual CPUs and eight gigabytes of

[10:31] RAM for 25 percent less and as a result

[10:34] it will set you back roughly 52 dollars

[10:37] every month and the largest instance

[10:39] that includes is 3.75 TB of RAM and 160

[10:45] vcpus and it will cost you about 5.32

[10:49] cents per hour

[10:50] Amazon other than this also provides

[10:54] spot instances reserved instances and

[10:57] dedicated hosts where you can look for

[10:59] multiple offers and discounts

[11:02] but for Azure it provides special prices

[11:05] to developers based on situations or

[11:08] even Azure hybrid benefit which benefits

[11:10] your organization up to 40 percent if it

[11:13] uses Microsoft software in their data

[11:15] centers

[11:17] whereas Google offers quite assorted

[11:20] pricing to its customer compared to the

[11:22] other two

[11:23] it gives you sustained use discounts

[11:25] which activate if you use the same

[11:27] instance for a month

[11:30] the pronable instance which is very

[11:32] similar to Amazon's spot instances but

[11:35] one thing is common in all three cloud

[11:37] services which is that they all offer

[11:39] long-term discounts

[11:41] now let's have a look at the last

[11:43] comparison which is the companies that

[11:46] are using them

[11:47] because AWS is the oldest player in the

[11:49] cloud business it has the largest user

[11:52] base and Community Support as a result

[11:54] AWS has the largest number of

[11:57] high-profile and well-known clients

[11:59] including Netflix Airbnb Unilever BMW

[12:03] Samsung missinga and others

[12:07] with time Azure is getting a large

[12:10] number of high-profile customers as

[12:13] you're currently boasts around 80

[12:14] percent of Fortune 500 firms as

[12:16] customers Johnson Controls polycom

[12:19] Fujifilm HP Honeywell apple and others

[12:24] are among its key clients

[12:26] Google Cloud on the other hand uses the

[12:28] same infrastructure as Google search and

[12:30] YouTube and as a result many high-end

[12:33] Enterprises trust Google Cloud HSBC

[12:36] PayPal 20th Century Fox Bloomberg

[12:39] Domino's and other are among Google

[12:42] Cloud's many clients so this was all

[12:44] about AWS versus Azure versus gcp and

[12:48] we've almost reached the end of this

[12:50] video now if I missed anything important

[12:51] please let me know in the comments

[12:53] section and I hope you enjoy this video

[12:55] on AWS versus Azure versus gcp and have

[12:59] learned something new from it if you

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