What do the following terms mean?
- SaaS
- PaaS
- IaaS?
There are various cloud services available today, such as Amazon's EC2 and AWS, Apache Hadoop, Microsoft Azure and many others. Which category does each belong to and why?
What do the following terms mean?
There are various cloud services available today, such as Amazon's EC2 and AWS, Apache Hadoop, Microsoft Azure and many others. Which category does each belong to and why?
IaaS, PaaS and SaaS are cloud computing service models.
IaaS (Infrastructure as a Service), as the name suggests, provides you the computing infrastructure, physical or (quite often) virtual machines and other resources like virtual-machine disk image library, block and file-based storage, firewalls, load balancers, IP addresses, virtual local area networks etc.
Examples: Amazon EC2, Windows Azure, Rackspace, Google Compute Engine.
PaaS (Platform as a Service), as the name suggests, provides you computing platforms which typically includes operating system, programming language execution environment, database, web server etc.
Examples: AWS Elastic Beanstalk, Windows Azure, Heroku, Force.com, Google App Engine, Apache Stratos.
While in SaaS (Software as a Service) model you are provided with access to application software often referred to as "on-demand software". You don't have to worry about the installation, setup and running of the application. Service provider will do that for you. You just have to pay and use it through some client.
Examples: Google Apps, Microsoft Office 365.
Few additional points regarding your question:
AWS (Amazon web services) is a complete suite which involves a whole bunch of useful web services. Most popular are EC2 and S3 and they belong to IaaS service model.
Although Hadoop is based on previous works by Google(GFS and MapReduce), it is not from Google. It is an Apache project. You can find more here. It is just a distributed computing platform and does not fall into any of these service models, IMHO.
Microsoft's Windows Azure is again an example of IaaS.
As far as popularity of these services is concerned, they all are popular. It's just that which one fits into your requirements better. For example, if you want to have a Hadoop cluster on which you would run MapReduce jobs, you will find EC2 a perfect fit, which is IaaS. On the other hand if you have some application, written in some language, and you want to deploy it over the cloud, you would choose something like Heroku, which is an example of PaaS.
Meaning For dummies:
IAAS (Infrastructure As A Service) :
The base layer
Deals with Virtual Machines, Storage (Hard Disks), Servers, Network, Load Balancers etc
PAAS (Platform As A Service) :
A layer on top of IAAS
Runtimes (like java runtimes), Databases (like mySql, Oracle), Web Servers (tomcat etc)
SAAS (Software As A Service) :
A layer on top on PAAS
Applications like email (Gmail, Yahoo mail etc), Social Networking sites (Facebook etc)
To quickly relate consider the below Google's offerings:
IAAS : Google Compute Engine (One can develop programs to be run on high performing google's computing infrastructure)
PAAS : Google App Engine (One can develop applications and let them execute on top of Google app engine which take care of the execution)
SAAS : Gmail, Google+ etc (One can use email services and extend email/google+ based applications to form newer applications)
Popularity
Company Wise Popularity
Cloud computing is dominated by
Most of the popularity around these services owe to the reputation of the company and the amount of investments being made by these companies around the cloud space.
Type of Service Wise Popularity
When you are a simple client who wants to make use of a software but you have nothing in hand then you use SaaS.
When you have a software developed by you, but you want to deploy and run on a publicly available platform then you use PaaS.
When you have the software and the platform ready but you want the hardware to run then you use IaaS.
IaaS (Infra as a Service)
IaaS provides the infrastructure such as virtual machines and other resources like virtual-machine disk image library, block and file-based storage, firewalls, load balancers, IP addresses, virtual local area networks etc. Infrastructure as service or IaaS is the basic layer in cloud computing model.
Common examples: DigitalOcean, Linode, Rackspace, Amazon Web Services (AWS), Cisco Metapod, Microsoft Azure, Google Compute Engine (GCE) are some popular examples of Iaas.
PaaS (Platform as a Service)
PaaS or platform as a service model provides you computing platforms which typically includes an operating system, programming language execution environment, database, web server. technically It is a layer on top of IaaS as the second thing you demand after Infrastructure is a platform.
Common examples: AWS Elastic Beanstalk, Windows Azure, Heroku, Force.com, Google App Engine, Apache Stratos.
SaaS (Software as a Service)
In a SaaS, you are provided access to application services installed at a server. You don’t have to worry about installation, maintenance or coding of that software. You can access and operate the software with just your browser. You don’t have to download or install any kind of setup or OS, the software is just available for you to access and operate. The software maintenance or setup or help will be provided by SaaS provider company and you will only have to pay for your usage.
Common examples: Google Apps, Microsoft office365, Google docs, Gmail, WHMCS billing software
Basic difference between IaaS, PaaS & SaaS
Features | laas | PaaS | SaaS |
---|---|---|---|
What you get | You get the infrastructure & pay accordingly. Freedom to use or install any OS, software or composition | Here you get what you demand. Software, hardware, OS, web environment. You get the platform to use & pay accordingly | Here you don't have to worry about anything. A pre-installed, pre-configured package as per your requirement is given and you only need to pay accordingly. |
Importance | The basic layer of Computing | Top of laaS | It is like a Complete package of services |
Technical Difficulties | Technical knowledge required | You get the Basic setup but still the knowledge of subject is required. | No need to worry about technicalities. The SaaS provider company handles everything. |
Deals with | Virtual Machines, Storage (Hard Disks), Servers, Network, Load Balancers etc | Runtimes (like java runtimes), Databases (like mySql, Oracle), Web Servers (tomcat etc) | Applications like email (Gmail, Yahoo mail etc), Social Networking sites (Facebook etc) |
Popularity Graph | Popular among highly skilled developers, researchers who require custom configuration as per their requirement or field of research. | Most popular among developers as they can focus on the development of their apps or scripts. They don't have to worry about traffic load or server management etc. | Most popular among normal consumers or companies which reply on softwares such as email, file sharing, social networking as they don't have to worry about the technicalities. |
IaaS, PaaS and SaaS are basically cloud computing segment.
IaaS (Infrastructure as a Service) - Infrastructure as a Service is a provision model of cloud computing in which an organization outsources the equipment used to support operations, including storage, hardware, servers and networking components. The service provider owns the equipment and is responsible for housing, running and maintaining it. The client typically pays on a per-use basis. Ex- Amazon Web Services, BlueLock, Cloudscaling and Datapipe
PaaS (Platform as a Service) - Platform as a Service is one of the GROWING sector of cloud computing. PaaS basically help developer to speed the development of app, saving money and most important innovating their applications and business instead of setting up configurations and managing things like servers and databases. In one line I can say Platform as a service (PaaS) automates the configuration, deployment and ongoing management of applications in the cloud. Ex: Heroku, EngineYard, App42 PaaS and OpenShift
SaaS (Software as a Service) - Software as a Service, SaaS is a software delivery method that provides access to software and its functions remotely as a Web-based service. Ex: Abiquo's and Akamai
Here is another take with AWS Example of each service:
IaaS (Infrastructure as a Service): You get the whole infrastructure with hardware. You chose the type of OS that needs to be installed. You will have to install the necessary software.
AWS Example: EC2 which has only the hardware and you select the base OS to be installed. If you want to install Hadoop on that you have to do it yourself, it's just the base infrastructure AWS has provided.
PaaS (Platform as a Service): Provides you the infrastructure with OS and necessary base software. You will have to run your scripts to get the desired output.
AWS Example: EMR Which has the hardware (EC2) + Base OS + Hadoop software already installed. You will have to run hive/spark scripts to query tables and get results. You will need to invoke the instance and wait for 10 min for the setup to be ready. You have to take care of how many clusters you need based on the jobs you are running, but not worry about the cluster configuration.
SaaS (Software as a Service): You don't have to worry about Hardware or even Software. Everything will be installed and available for you to use instantly.
AWS Example: Athena, which is just a UI for you to query tables in S3 (with metadata stored in Glu). Just open the browser login to AWS and start running your queries, no worry about RAM/Storage/CPU/number of clusters, everything the cloud takes care of.
I know this question has been answered a while ago but this could help.
What do the following terms mean?
SaaS
Software as a Service - Essentially, any application that runs with its contents from the cloud is referred to as Software as a Service, As long as you do not own it.
Some examples are Gmail, Netflix, OneDrive etc.
AUDIENCE: End users, everybody
IaaS
Infrastructure as a Service means that the provider allows a portion of their computing power to its customers, It is purchased by the potency of the computing power and they are bundled in Virtual Machines. A company like Google Cloud platform, AWS, Alibaba Cloud can be referred to as IaaS providers because they sell processing powers (servers, storage, networking) to their users in terms of Virtual Machines.
AUDIENCE: IT professionals, System Admins
PaaS
Platform as a Service is more like the middle-man between IaaS and SaaS, Instead of a customer having to deal with the nitty-gritty of servers, networks and storage, everything is readily available by the PaaS providers. Essentially a development environment is initialized to make building applications easier.
Examples would be Heroku, AWS Elastic Beanstalk, Google App Engine etc
AUDIENCE: Software developers.
There are various cloud services available today, such as Amazon's EC2 and AWS, Apache Hadoop, Microsoft Azure and many others. Which category does each belong to and why?
Amazon EC2 and AWS - is an Infrastructure as a Service because you'll need System Administrators to manage the working process of your operating system. There is no abstraction to build a fully featured app ordinarily. Microsoft Azure would also fall under this category following the aforementioned guidelines.
I really haven't used Apache Hadoop, so I really cannot say.
SaaS |
PaaS |
Iaas |
---|---|---|
Software-as-a-Service | Platform-as-a-Service | Infrastructure-as-a-Service |
Ready to use infrastructure and software application that are centrally hosted and licensed on a subscription basis. | Ready to use environment. where customers build, test, run, and update apps quickly and inexpensively. | Provides on-demand access to physical computing resources, such as servers, storage, networking, and data center space without need to manage or operate. |
Apps can be accessed over the internet on any device with a browser. | Cloud provider manages the entire platform. | Users can provision, test, and scale resources quickly. |
Easy to add additional users and storage. | Additional compute, storage, and networking capacity can be purchased quickly and used immediately. | NA |
Use Cases: Most personal or employee productivity applications (email, document management, online collaboration tools) | Use Cases: Migration of existing applications to the cloud, a hybrid cloud strategy | Use Cases: Backup/recovery of on-premises workloads, dev and test environments, customer facing websites, data storage and analytics |
Following link gives very good explanation on SaaS, PaaS and Iaas.. http://opensourceforgeeks.blogspot.in/2015/01/difference-between-saas-paas-and-iaas.html
Just some brief:
IaaS, here vendor provides infra to user where an user gets hardware/virtualization infra, storage and Networking infra.
PaaS, here vendor provides platform to user where an user gets all required things for their work like OS, Database, Execution Environment along with IaaS provided environment. So pass is platform + IaaS.
SaaS seems to be quite wide area where vendor provides almost everything from infra to platform to software. So SaaS is Iaas+PaaS along with different softwares like ms office, virtual box etc..
Since there are a lot of answers with better definitions of the question. I would like to add a few examples here:
IaaS
PaaS
SaaS
Iam sharing my experiences along with Standard definitions by NIST. Iam developer from product company and we own database and client (eco system). Beside many clear pictures the confusion arises because of many actors(5 defined by NIST) and things differ from prespectives.
For IaaS and Bare metal deployments we sell licenses and packages can be obtained from CD's or FTP server (rpms). The code is compiled tested and delivered. Here our customers pay to us (license cost) and/or to cloud provider for instances.
We partner with cloud providers (technology partner) to sell our products via marketplace.
Typically we deliver images (ami,vhd,etc) + some (cloud formation templates or ARM templates, etc) in case of PaaS. We have Jenkins pipelines to place them in market place (version based). Here with some skills developers can login into instances and manipulate the software (e.g after database instances are launched login and completely remove the software and make it look like just EC2 instances)
In case of SaaS our Jenkins pipelines will directly deploy (whether they are web apps, azure/lambda functions). Neither developers/end users have less control over the physical hardware.
Below are the Actors defined by NIST and since developers(tech company that provides software) partners with cloud provider, developers best match is cloud provider.
As all have explained very well about the Cloud computing models. So I want to picture out all three model IaaS , PaaS , SaaS w.r.t. AWS services and their consumers.
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