[0:00] foreign
[0:08] Computing the competition for leadership
[0:11] is a quite tough three-way race Amazon
[0:14] web services Microsoft Azure and Google
[0:17] Cloud platform clearly are the top Cloud
[0:20] companies who have a commanding lead in
[0:22] the infrastructure as a service and
[0:24] platform as service markets hey everyone
[0:27] I'm Lance and I want to welcome you all
[0:29] to this new video from Simply learn on
[0:32] AWS versus Azure versus gcp in this
[0:37] video we will compare and contrast AWS
[0:40] Azure and gcp based on a few related
[0:44] Concepts around these cloud computing
[0:46] platforms it will help us understand the
[0:49] functioning of these top Cloud platforms
[0:51] and will also let us figure out the
[0:53] individuality of each one of them but
[0:56] before starting with the comparison
[0:57] let's have a quick introduction of AWS
[1:00] versus Azure versus gcp so let's get
[1:04] started
[1:06] Amazon web services or AWS is a cloud
[1:10] computing platform that manages and
[1:13] maintains hardware and infrastructure
[1:15] reducing the expense and complexity of
[1:18] purchasing and running resources on site
[1:21] for businesses and individuals
[1:24] these resources are available for free
[1:26] or for a fee per usage
[1:30] Microsoft Azure is a cloud computing
[1:33] service that offers a collection of
[1:35] Cloud Computing Services for building
[1:37] testing deploying and managing
[1:40] applications in the cloud including
[1:42] remotely hosted and managed versions of
[1:45] Microsoft Technology
[1:47] Google Cloud platform offers a variety
[1:49] of Cloud Computing Services for building
[1:52] deploying scaling monitoring and
[1:55] operating a cloud
[1:57] the services are identical to those that
[1:59] power Google products such as Google
[2:01] search Gmail YouTube and Google Drive
[2:05] now let's move on to the comparison
[2:08] between AWS Azure and gcp
[2:12] we will be comparing them based on a few
[2:14] major parameters like origin
[2:18] service integration
[2:21] availability Zone
[2:24] Cloud tools like compute
[2:27] storage
[2:29] networking
[2:31] market share
[2:33] pricing
[2:35] and at last who uses them
[2:38] now let's move ahead and start with the
[2:40] first comparison origin
[2:43] in the year 2006 Amazon web services or
[2:47] AWS was introduced to the market
[2:50] and in the year 2010 Azure launched its
[2:53] services whereas on the other hand gcp
[2:56] was established in the year 2008.
[2:59] from the start AWS has been supportive
[3:02] of the open source concept but the open
[3:05] source Community has a tense
[3:07] relationship with azure
[3:09] on the other hand gcp similar to AWS
[3:13] provides Google cloud with managed open
[3:16] source services that are tightly linked
[3:19] AWS offers services on a large and
[3:22] complex scale that could be manipulated
[3:25] but Azure support is comparatively low
[3:28] quality whereas gcp's monthly support
[3:30] price is almost a hundred and fifty
[3:33] dollars for the silver class which is
[3:36] the most basic of services and is quite
[3:39] expensive
[3:40] now let's move on to the service
[3:42] integration of these Cloud platforms
[3:45] service integration is a set of tools
[3:47] and technology that connects different
[3:49] applications systems repositories and
[3:53] data and process interchange in real
[3:55] time
[3:56] AWS makes it simple for users to combine
[4:00] services such as Amazon ec2 Amazon S3
[4:04] Beanstalk and others and on the other
[4:07] hand Azure allows customers to
[4:10] effortlessly combine Azure VMS as your
[4:13] app service SQL databases and other
[4:16] services whereas users can utilize gcp
[4:19] to combine services such as compute
[4:22] engine cloud storage and Cloud SQL now
[4:25] that we know briefly about all these
[4:27] Cloud platforms let's have a look at the
[4:29] availability zones of these platforms
[4:32] because AWS was the first in the cloud
[4:35] domain they have had more time to build
[4:37] and extend their network but Azure and
[4:41] gcp both have various locations around
[4:44] the world
[4:45] but the distinction is in the amount of
[4:48] availability zones they have AWS now
[4:51] offers 66 availability zones with an
[4:54] additional 12 on the pipeline close to
[4:57] it Azure is available in 140 countries
[5:01] and is available in 54 regions
[5:03] throughout the world but Google Cloud
[5:06] platform is now available in 20 Global
[5:08] areas with three more on the way
[5:12] now let's move on to the next important
[5:15] factor which is tools
[5:17] now let's move ahead and have a look at
[5:19] the first feature which is compute
[5:23] elastic compute cloud or ec2 is aws's
[5:28] compute service which offers a wide
[5:30] range of features including a large
[5:32] number of instances support for both
[5:34] windows and Linux high performance
[5:36] Computing and more Azure on the other
[5:39] hand as virtual machines is Microsoft
[5:42] azure's core cloud-based compute
[5:45] solution
[5:45] it includes Linux Windows server and
[5:49] other operating systems as well as
[5:51] better security and Microsoft program
[5:53] integration
[5:55] in comparison to its competitors
[5:57] Google's Computing Services catalog is
[6:00] somewhat smaller compute engine that
[6:03] companies principal service offers
[6:04] custom and pre-defined machine types per
[6:08] second invoicing Linux and Windows
[6:10] support and carbon neutral
[6:12] infrastructure that uses half the energy
[6:14] of traditional data centers
[6:17] within the compute category Amazon's
[6:20] different container services are gaining
[6:22] prominence it has Docker kubernetes and
[6:26] it's also fargate service which
[6:28] automates server and cluster management
[6:30] when using containers as well as other
[6:33] alternatives
[6:36] Azure unlike AWS uses virtual machine
[6:39] scale sets of two container services
[6:43] Azure container services is based on
[6:45] kubernetes and container service uses
[6:48] Docker Hub and Azure container registry
[6:51] for management
[6:52] for Enterprises interested in deploying
[6:55] containers Google offers the kubernetes
[6:57] engine and it's also worth noting that
[7:00] Google was significantly involved in the
[7:02] kubernetes project providing an
[7:04] extensive knowledge in this field
[7:08] now let's move on to the next parameter
[7:10] of comparison which is storage
[7:13] simple storage service for object
[7:15] storage elastic block storage for
[7:17] persistent block storage and elastic
[7:19] file system for file storage are among
[7:22] aws's storage offerings
[7:25] yeah block storage for rest based object
[7:28] storage of unstructured data Q storage
[7:31] for a large volume workload file storage
[7:34] and disk storage are among Microsoft
[7:37] Azure core storage services
[7:39] gcp offers an increasing number of
[7:42] storage options its unified object
[7:45] storage service cloud storage also has a
[7:48] persistent disk option relational
[7:50] database service or RDS
[7:53] dynamodb no SQL database elastic and
[7:57] memory data store redshift data
[8:00] warehouse Neptune graph database and
[8:02] database migration service are all SQL
[8:05] compatible databases offered by Amazon
[8:10] the database choices in Azure are
[8:12] specifically wide SQL database mySQL
[8:16] database and postgre SQL database are
[8:19] the three SQL based choices
[8:22] now when it comes to databases gcp
[8:24] offers the sql-based cloud SQL and Cloud
[8:28] spanner a relational database built for
[8:31] Mission critical workloads now the next
[8:33] parameter is networking
[8:37] AWS uses Amazon virtual private cloud or
[8:40] VPC
[8:42] on the other hand Azure uses Azure
[8:45] virtual Network or v-net
[8:48] and gcp uses Cloud virtual Network now
[8:51] let's move on to another factor which is
[8:54] market share and pricing
[8:56] all these cloud services are based on
[8:58] comparative pricing strategies which
[9:00] means you need to pay on the basis of
[9:03] its usage
[9:04] according to Canalis the worldwide Cloud
[9:07] Market Rose 35 percent to 41.8 billion
[9:11] in the first quarter of 2021. AWS
[9:14] accounts for 32 percent of the market
[9:17] with Azure accounting for 19 and Google
[9:20] accounting for seven percent
[9:23] on one hand Amazon charges on a yearly
[9:25] basis and on the other hand Microsoft
[9:28] Azure and Google services charge on a
[9:31] minute basis and also all of them
[9:34] provide you a standard price for you to
[9:36] access these services
[9:38] AWS charges roughly 69 dollars per month
[9:41] for a very basic instance with two
[9:44] virtual CPUs and eight gigabytes of RAM
[9:47] and AWS largest instance with 3.84 TB of
[9:51] RAM and 128 vcpus will set you back
[9:56] roughly
[9:57] 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
[13:01] like this video then please hit that
[13:03] like button and thanks for watching this
[13:05] video and stay tuned for more updates
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