What is exactly PaaS? What is Platform as a Service? It is different from IaaS and SaaS

Sep 1, 2022
What is PaaS

PaaS (Platform as a Service) is a blend of servers, storage and networking infrastructure that provides all needed software required to support development of applications. If you choose to use PaaS there is no need to acquire hardware in your own premises, or fret about the creation of an infrastructure that is virtual for the apps that you wish to run.

PaaS provides all the resources needed to reach the goals you have set and much more.

Let's take a look at what PaaS means and some actual PaaS examples, market share of the top PaaS companies, and much more.

What exactly is PaaS? (With Examples)

AWS Elastic Beanstalk
AWS Elastic Beanstalk
Google App Engine
Google App Engine

The offerings offered by PaaS differ when compared to renting storage space, or even using the virtual machine. PaaS is a PaaS solution is an existing platform to bring your app on the internet.

Hardware can be rented on its own under the IaaS category however not in the category of PaaS.

Let's review of the differentiators in the two varieties.

What's the main difference of IaaS or PaaS?

In order to make the process more difficult For making things even more complicated, lots of PaaS businesses also provide IaaS solutions, in reverse.

Let's cut through the confusion by comparing specific things.

PaaS Example IaaS Exemples
AWS Elastic Beanstalk AWS EC2
Google App Engine Google Compute Engine (GCE)
Microsoft Azure App Service Microsoft Azure Storage
IBM Cloud Foundry IBM Cloud Virtual Servers
DigitalOcean App Platform DigitalOcean Droplets
Heroku

This is the main difference.

A PaaS solution is one which is packaged to aid your development and deployment of the app But, in reality IaaS is a different matter. IaaS could be defined as the cloud infrastructure that is an easy.

In some instances, firms like AWS, Google, and Microsoft charge users for their services however they will not charge the users for their software platform.

What's the main difference between SaaS as well as PaaS?

Salesforce dashboard
Salesforce dashboard

All you have to make is sign-up and it's available for make use of. That's the basis of the SaaS service.

To gain a deeper understanding of the difference, let's take a look at several other examples.

Cloud Service Type Examples
SaaS Google Workspace, Microsoft Dynamics CRM, IBM Watson Assistant, Salesforce, Workday, Slack
PaaS AWS Elastic Beanstalk, Google App Engine, Microsoft Azure App Service, Heroku, IBM Cloud Foundry

A SaaS service can be used the minute you sign up. As an example, when you sign up with Google Docs, you can begin creating, saving as well as sharing your documents.

However, Google App Engine or IBM Cloud Foundry aren't complete solutions for business problems. They're instead cloud-based platforms which allow users to build individual apps.

PaaS Market size, share and top Vendors

The PaaS market's expected size as well as the way it's compared to other cloud services are contingent on the company.

As an example, as according to Gartner Gartner, PaaS will outnumber IaaS by 2021. $27.5 billion in revenue, compared to. $61.9 billion in sales.

Public cloud market share (Source: Gartner)
Public cloud market share (Source: Gartner)

This is a consequence of the IaaS market having nearly tripled that of PaaS. IaaS makes up a large portion of the market for cloud services and PaaS is considered a niche product by comparison.

But, studies from other sources provide a different image.

In accordance with International Data Corporation (IDC) figures revenue for 2019, revenues fell significantly from the past and PaaS significantly higher in the range of $35.9 billion, as compared to $49 billion.

Cloud services market share (Source: Gartner)
Worldwide public cloud services market growth (Source: Gartner)

Both have experienced growth at similar rate, which is 38.4 percentage YoY increase for IaaS and 38.8 per cent rise in PaaS.

Although PaaS isn't close to closing this gap but it's certainly not trailing.

This could be one reason why SaaS and PaaS are significantly larger than their counterparts on the market.

Top Vendors and Market

Since 2016 cloud analysts, industry specialists research companies, as well as experts have shifted away from separate reporting to covering the entire cloud market, which includes IaaS along with PaaS all.

Public-Cloud-Services-Market-Share-2019-IDC
Public Cloud Services Market Share for 2019, (Source: IDC)

One of the main reason for this is the fact that most of the major players share a lot of characteristics across both categories.

Some of the names well-known include for Amazon, Google, Microsoft and IBM regardless of whether you're looking at PaaS or IaaS marketplaces.

Another reason is the fact that market experts tend to mix IaaS as well as PaaS services in a way that it's difficult to separate them from the revenue.

PaaS and IaaS revenue share (Source: Statista)
PaaS is in addition to IaaS revenue in part (Source: Statista)

Together, they make up more than 54 percent of the total IaaS and PaaS revenues around the globe.

The top US service providers, you can find Alibaba from China which has 4.4 percent. Alibaba which has 4.4 percent as well as NTT Data in Japan. NTT Data at 2.8 percent percent of revenue worldwide.

The market is driven by the US in terms of innovation and use.

AWS is the top IaaS in addition to a PaaS service provider and will likely to keep increasing its rate of growth quickly until 2021.

What kinds of services does PaaS offer?

Although the main use-case of PaaS is for the development of web-based apps however, there are other cloud-based services included.

We'll take a closer look closely.

Database as a Service (DBaaS)

A hosted cloud-hosted, cloud-hosted database that you install manually inside a computer is an implementation of IaaS.

An example of them being one of them is the Azure SQL Database option, which offers a fully managed database that is updated automatically, and also scalability intelligence-driven threat defense and AI-powered search.

Azure SQL Database
Azure SQL Database

Cloud-based services which fall into this category may also be described as DBaaS that is one of the subcategories in PaaS.

Internet of Things (IoT) Platforms

Mobile Services (APIs)

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In addition, they utilize automated SMS messages on a massive scale.

With the help of SMS APIs, companies can incorporate automated messages in their apps.

As an example you can send customer text messages to:

  • Inform them about scheduled phone calls or meetings scheduled for the next day.
  • Promote a related new product or service.

They are often classified independently as Communications Platform as a Service (CPaaS) or a PaaS subcategory.

Push Notification APIs

The SMS text message is not push notifications, except for push notifications for mobile devices and web browsers. APIs are the foundation of push notifications.

They can be used to:

  • Instruct customers to download the most current version of your app.
  • Advertise a relevant limited-time promotion.

Machine Learning

If you truly desire to benefit from the information you already have, it's not enough to keep it in the cloud. It's stored, but in a different location.

There's a demand for algorithms that can sort through all the information available and provide useful insights along with ways to go about it.

IBM Watson Studio
IBM Watson Studio

Like, IBM Watson Studio lets you automate AI lifecycle management and launch and test models with the click of a mouse along with many others.

It's a fantastic PaaS platform to make use of enormous amounts of information.

Search and AI-powered suggestions are two of the PaaS tools to help developers that are offered by provide the top four service suppliers offer.

Hadoop, Spark, and Other Data Processing Frameworks

Apache Hadoop is an open source software framework which allows you to handle large data sets through large virtual clusters.

  • Google offers Hadoop as an integrated part in the Dataproc Big Data Processing service.
  • Microsoft provides Hadoop within its HDInsight Data Processing service.
  • IBM offers Hadoop within BigInsights.
  • AWS gives Hadoop in addition to Spark as part of EMR.

Top companies provide custom data lake and other solutions for data processing that are in conjunction with Hadoop.

A majority of cloud services are offered as PaaS. Look over the results of a 2020 research study about cloud-based public service.

The most popular cloud service (Source: Flexera)
Cloud service has the most popularity (Source: Flexera)

Cloud-based relational databases are the most popular types of databases that have an overwhelming majority of companies using the databases. seventeen percent testing them with previous databases as well as 10 percent are planning to use of these databases.

The third option is to use data warehouses. 53 per cent of firms currently utilize this method to manage and analysis of huge volumes of data.

Google Cloud BigQuery is an illustration of this kind of PaaS product.

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The top four PaaS service providers. What are the features they Provide?

We've discussed cloud-based public service. There are four distinct market best service providers.

How can they be compared with each others in relation to PaaS service?

In the next section, we'll look an in-depth look at each top cloud provider, and their services that they provide.

AWS

AWS is the world's first cloud computing service provider. It created the first cloud computing revolution by launching its first EC2 product in 2006.

Headstart established themselves as the market's undisputed leader, and it's now the most popular cloud service provider in the world.

For PaaS particularly What does it add to the table?

A quick overview of Amazon's list of its services will provide everything you need to know about.

AWS services overview
AWS Services Overview

The majority of these instances use a PaaS service. We'll look at exactly the capabilities AWS provides in relation to PaaS solutions.

PaaS Service AWS
App Deployment Amazon Elastic Beanstalk
Big Data Processing Amazon EMR
Data Warehousing Amazon Redshift
DBaaS Amazon Aurora, Amazon RDS
Notifications (SMS Notifications via Email (SMS and Email) Amazon SNS
Machine Learning Amazon SageMaker

The days where AWS was a provider of the sole computing power as well as virtual machines on rent are over.

There are now customized solutions that meet the demands of any major PaaS software and service, covering everything from app deployment to massive information DBaaS as well as machine learning.

If you're searching for an extremely versatile PaaS service, don't choose the least knowledgeable specialist.

IBM Cloud

What's the story behind IBM Cloud? As an early pioneer in the field of computing, IBM has invested lots of resources and time in the creation of its cloud-based service suite.

IBM initially launched its PaaS offerings under the brand name IBM Bluemix in 2014.

In the year 2017, IBM dropped the Bluemix name and combined the company's PaaS as well as IaaS Cloud services, as and other cloud-based offerings that are owned privately under the umbrella of IBM Cloud. IBM Cloud umbrella.

With an array of commercial clients IBM Cloud has quickly grown to be one of the most reputable PaaS service providers following its launch in the year 2011.

It is also evident in its products:

IBM Cloud products overview
IBM Cloud products overview

What's the most effective way to make IBM stack up within the PaaS department?

PaaS Service IBM Cloud
App Deployment IBM Cloud Foundry
Big Data Processing IBM BigInsights
Data Warehousing IBM DB2
DBaaS IBM Cloud Databases (Redis, PostgreSQL, etc.)
Notifications (SMS Notifications (Email Notifications by SMS (SMS Notifications via Email Notifications via SMS, Email) IBM Push Notifications and SMS (through the third-party service providers)
Machine Learning IBM Watson Studio, IBM Watson

IBM Cloud covers essential PaaS applications such as application deployment, Big Data Processing and Data Warehouse.

For notification, IBM does not offer the complete solution as of at this time. You can use Third-party service providers such as Twilio for SMS integration into the process of your application.

and IBM has long been on the cutting edge of machine learning as well as AI. IBM Deep Blue became the first AI to beat the world champion at the game of chess back in 1997.

IBM Watson Studio IBM Watson Studio makes it easy to put Watson AI to work. Watson AI to work, helping you to understand the data you have.

Google Cloud

Google allows you to rent the platform and infrastructure that allow you to process millions of people every month.

Google Cloud was founded in the year 2008 and Google Cloud was the second large player to be introduced to the market. Its extensive array of offerings that it provides demonstrates its status in the ranks of leading players in the industry.

Google Cloud products overview
Google Cloud products overview

For specific PasS items, it's similar.

PaaS Service Google Cloud
App Deployment Google App Engine, Google Kubernetes Engine
Big Data Processing Google Dataproc
Data Warehousing Google BigQuery
DBaaS Google BigTable, Google Cloud SQL, etc.
Notifications (SMS or Email Push, SMS) Firebase Cloud Messaging (Push and messages in-App)
Machine Learning Google AI Platform

To help with app development and deployment, Google offers a wide range of tools, apps and services. This includes Kubernetes Engine as well as Google App Engine. Google App Engine and Kubernetes Engine.

For warehouses and databases that are traditional, Google also offers several alternatives, including BigTable, Google Cloud SQL and much more.

With the help of Firebase Cloud Messaging you can schedule and send push notifications and messages, but there is no SMS.

Google AI platform provides users with a simple interface for the creation in addition to maintain and update machine-learning models at the speed that is feasible.

The platform is complete and suitable for your PaaS requirements.

Microsoft Azure

Microsoft isn't just responsible for operating systems which are present on numerous laptops and desktops on the world.

Azure Cloud Platform Azure cloud platform offers a variety of options that span from AI in addition to machine learning to analytical tools, software for developing data processing tools, and many more.

Azure products overview
An overview of the Azure services

However to Microsoft's platform Microsoft is also included.

PaaS Service Microsoft Azure
App Deployment Azure App Service
Big Data Processing Azure Databricks
Data Warehousing Azure SQL Data Warehouse
DBaaS Azure SQL Database
Notifications (SMS or Email Push SMS) Azure Notification Hubs (Push), Azure Communication Services (SMS, Voice)
Machine Learning Azure Machine Learning

It is possible to store and manage information with numerous solutions built on SQL including data warehouses, or a database with a smaller scale. It is possible to utilize Azure Machine Learning to create and implement models that understand the information you've got.

Azure can also integrate automatic SMS notifications as well as push notifications in the mobile application.

Summary

PaaS does not just provide users with the computing and resources tools you require to gather, share, and implement data more efficiently within your organization. The service also provides an infrastructure to allow you to access the data immediately and also use external or internal software.

If you have any questions regarding  the subject, or have an incident with PaaS Services or products, you can use the comments section!

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