Last modified: 26th August, 2022
“CIOs are beyond the era of irrational exuberance of procuring cloud services and are being thoughtful in their choice of public cloud providers to drive specific, desired business and technology outcomes in their digital transformation journey.” With this, the world is quickly moving toward a future where public cloud services will be necessary. According to a recent research, in 2022, the end user spending on public cloud services is expected to reach around $500 billion, and nearly $600 billion in 2023.– Gartner1
Quick Links
- What is Public Cloud?
- Who should go for public cloud?
- Top Public cloud providers
- Best public cloud providers comparison: AWS v/s Azure v/s Google Cloud v/s IBM
- AWS vs Microsoft Azure vs Google Cloud Platform vs IBM: The public cloud prices’ comparison
The demand for public cloud solutions is rising, and this translates to growing opportunities for public cloud providers. The top public cloud companies are enhancing their services and dropping the prices to better compete in the public cloud market.
What is Public Cloud? back to top
A public cloud, like Azure or AWS or Google, is a multi-tenant service based upon standard model of cloud computing, where a service provider or a third-party provider provides resources, like storage and applications to the general public over a network, like the internet.
Users have no control or visibility over the placement of the infrastructure. Services are either free, low cost or are on pay-per-usage model, so no wastage of resources is there. The set-up is easy and almost inexpensive as cost of applications, bandwidth and hardware are covered by the service provider.
It is not possible to select cache, hardware or storage performance (SAS/SATA) in the public cloud. Public cloud provider decides the hardware and network for the user. Also, PCI, SOX or HIPAA compliance cannot be provided in the public cloud as it is a multi-tenant environment, in which the user’s server shares the network devices, storage and hardware with multiple others in the cloud.
It is different from the private and hybrid cloud as private cloud is used by organizations for their own use, and hybrid cloud is a combination of public and private clouds.
The public cloud comprises a broad range of products and services related to the cloud, including infrastructure as a service (IaaS), software as a service (SaaS), and platform as a service (PaaS).
Read details in a report by IDC.
Who should go for the public cloud? back to top
Public Cloud is the obvious choice for:
- Developers and testers of application codes who fire up and tear down development servers regularly.
- Those who require scalability i.e., capability of adding compute resources at peak times.
- Those doing projects in collaboration with different teams.
- Those running webservers where data security is not a major concern.
- Those who have SaaS (Software as a Service) applications from vendors implementing proper security strategies.
- Those who are using PaaS (Platform as a Service) for doing ad-hoc software development projects.
Top Public cloud providers back to top
The public cloud market is majorly dominated by Amazon, Microsoft, IBM and Google. Experts predict that these face competitions only from one another and are not likely to be replaced by any other cloud service provider in the near future at least. The reason behind it is that competing in the public cloud needs very heavy investment, as well as masses of tech talent to support the underlying infrastructure.
Amazon Web Services (AWS) has been leading the public cloud market since it started services in 2006. According to Gartner, Amazon is the no.1 public cloud provider, holding 38.9% share in the IaaS market in 2021. Microsoft is holding the second position with 21.1% market share, followed by Alibaba Cloud (9.5%) and Google Cloud (7.1%).
““The IaaS market continues to grow unabated as cloud-native becomes the primary architecture for modern workloads,” said Sid Nag, VP analyst at Gartner. “Cloud supports the scalability and composability that advanced technologies and applications require, while also enabling enterprises to address emerging needs such as sovereignty, data integration and enhanced customer experience.”

Under the leadership of CEO Satya Nadella, Microsoft is quickly gaining ground, thereby, shortening the gap between AWS and Azure. IBM has also reportedly recovered from the transformational phase and has been experiencing a growth in its revenue due to its cloud, security services and advanced solutions like IBM Watson.
On the other hand, the search engine giant Google too is able to maintain its position in the top public cloud providers list, with its Google Cloud Platform, by introducing discounts and adding features. Google also announced new Network Service Tiers – Premium and Standard to optimize performance and cost of using the public cloud.
Amazon, Microsoft and Google provide similar storage solutions but there are a number of differences in features and pricing of their public cloud services, which set them apart from the other. They either drop the prices of cloud instances, offer discounts, drop billing increments, or even provide per second billing options to stay one step ahead of each other.
Gartner named AWS, Microsoft, and Google among the leaders in Cloud Infrastructure & Platform Services Magic Quadrant 2021, while keeping Alibaba Cloud in Visionaries and Oracle, Tencent Cloud and IBM among Niche Players.

Best public cloud providers comparison: AWS v/s Azure v/s Google Cloud v/s IBMback to top
The comparison of AWS, Azure, Google Cloud Platform, and IBM Cloud can be done on the basis of features, pricing, and solutions.
Features and Solutions | AWS | GCP | IBM Cloud | Azure |
Maximum Processors in VM | 448 vCPUs | 48 vCPUs | 6.4 vCPUs (if machine type is S922 and OS is IBM) | 416 vCPUs |
Maximum memory in VM (GB) | 24,576 GB RAM | 4 GB RAM | 4 GB RAM | 11,400 GB RAM |
Operating Systems supported | Amazon Linux, Amazon Linux 2, CentOS, CentOS Stream, Debian, Oracle Linux, RHEL, Rocky Linux, SLES, Ubuntu, macOS, Raspberry Pi OS, Windows | Windows, SLES, CentOS, CoreOS, OpenSUSE, RHEL, Debian, FreeBSD, Ubuntu, | Windows, CentOS, CoreOS, RHEL, CloudLinux, Debian, FreeBSD, Ubuntu, | Windows, SLES, CentOS, CoreOS, OpenSUSE, RHEL, Debian, FreeBSD, Ubuntu, Oracle Linux, ClearLinux |
SLA Availability | Amazon S3: Monthly uptime of at least 99.99% for any billing cycle.
Amazon EC2: 99.95% annual uptime in service year. |
99.95% Monthly Uptime | 100% Uptime for Private & Public Network, Customer Portal and redundant infrastructure | 99.99% Uptime |
Marketplace | AWS Marketplace | G Suite Marketplace | IBM Marketplace | Azure Marketplace |
COMPUTE | ||||
Scalability | AWS Auto Scaling | Autoscaling | Auto Scaling | Azure Autoscale |
Virtual Servers | Elastic Compute Cloud (EC2) Instances, LightSail, ECR, Lambda | Custom Machine Types, Compute Engine | IBM Virtual Servers | Azure Virtual Machines, Azure Virtual Machines & Images |
Backend process logic | AWS Lambda | – | Bluemix Developer Console | WebJobs |
Container Instances | EC2 Container Service, ECS, Elastic Kubernetes Service, AWS Fargate, EC2 Container Registry | Kubernetes Engine | IBM Cloud Container Service | Azure Container Service (AKS), Azure Container Registry |
Container Orchestrators/ Microservices | Elastic Container Service (ECS), Elastic Kubernetes Service (EKS) | Google Container Engine | IBM Cloud Container Service | Azure Service Fabric |
Batch Computing | AWS Batch | Preemptible VMs | IBM Cloud Code Engine, IBM Cloud Functions | Azure Batch |
Serverless | Lambda, Lambda @ Edge | Google Cloud Functions (Beta) | IBM Cloud Functions | Azure Functions, Azure Event Grid |
STORAGE | ||||
Object storage | Simple Storage Service (Amazon S3) | Google Cloud Storage | IBM Cloud Object Storage | Azure Blob Storage |
Shared file storage | Elastic File System (EFS) | Google Cloud Storage FUSE | File Storage | Azure Files |
Virtual Server disk infrastructure | Amazon WorkSpaces | Google Persistent Disk | Block Storage, Block Storage for VPC | Azure Disk Storage |
Archiving – cool storage | S3 Infrequent Access (IA) | Cloud Storage | Object Storage | Azure Storage – Standard Cool |
Archiving – cold storage | S3 Glacier | Google Cloud Storage Nearline & Coldline | Backup Storage | Azure Storage – Standard Archive |
Hybrid Storage | Storage Gateway | – | – | StorSimple |
Backup | AWS Backup | – | – | Azure Backup |
Data transfer | AWS Import/Export Disk, AWS Import/Export Snowball, AWS Snowball Edge, AWS Snowmobile | Cloud Data Transfer | Data Transfer Service | Import/ Export, Azure Data Box |
Disaster Recovery | AWS Disaster Recovery | – | – | Azure Site Recovery |
DATABASE | ||||
Relational Database | RDS, Amazon Aurora (Serverless) | SQL Server, Google Cloud SQL, Cloud SQL support for Postgre SQL (Beta) | Compose for MySQL, Compose for Postgre SQL | SQL Database, Azure Database for MySQL, Azure Database for PostgreSQL, Database for MariaDB, Azure SQL Database Serverless, Serverless SQL Pool |
NoSQL – key/value storage, document storage | Dynamo DB and SimpleDB | Cloud Spanner | Db2 on Cloud | Table Storage Azure Cosmos DB |
Non-relational database | Amazon DynamoDB, SimpleDB, Amazon Document DB | Google Cloud Dataproc, Google Cloud Dataflow, Google Cloud Bigtable, Google Cloud Datastore | Compose for JunusGraph, IBM Open Platform, Cloudant | Cosmos DB |
Database Migration | AWS Database Migration Service (AWS DMS) | – | Lift | Azure Database Migration Service |
Caching | ElastiCache | None – App Engine only | Compose for Redis | Azure Redis Cache |
CONTENT DELIVERY AND NETWORKING | ||||
Cloud virtual networking | Virtual Private Cloud (VPC) | Google Virtual Private Cloud (VPC) | VLANs | Virtual Network |
Content delivery network | CloudFront | Google Cloud CDN | Content Delivery Network | Azure CDN |
Domain name system management | Route 53 | Google Cloud DNS | DNS | Azure DNS, Traffic Manager |
Cross – premise connectivity | AWS VPN Gateway | Cloud VPN | VPN | Azure VPN Gateway |
Dedicated network | Direct Connect | Google Cloud Interconnect | Direct Link | ExpressRoute |
Load balancing | Network Load Balancer, Application Load Balancer (at Application level) | Google Cloud Load Balancing | IBM Cloud Load Balancers, IBM Cloud Load Balancers for VPC, Citrix NetScaler VPX | Load Balancer, Application Gateway) at Application Level) |
INTERNET OF THINGS | ||||
IoT | AWS IoT | Google Cloud IoT, Cloud IoT Core (Beta) | Internet of Things (IoT) | Azure IoT Hub |
IoT Services | Kinesis, EMR, SNS, Machine Learning, Data Pipeline, QuickSight | Google Cloud Pub/Sub | IBM Push Notifications | Machine Learning, IoT Hub, Power BI, Stream Analytics, Notification Hubs |
Streaming data | Kinesis Streams, Kinesis Firehose | Cloud Dataflow | Streaming Analytics, Event Streams | Event Hubs |
Edge compute for IoT | AWS Greengrass | – | – | Azure IoT Edge |
ANALYTICS AND BIG DATA | ||||
Elastic data warehouse | Redshift | Google Cloud BigQuery | Db2 Warehouse on Cloud | SQL Data Warehouse |
Data orchestration | Data Pipeline, AWS Glue, Dynamo DB | Google Cloud Dataflow | – | Data Factory, Azure Purview, Table Storage, Cosmos DB |
Big data processing | Amazon EMR | Google Cloud Dataproc, Dataflow | IBM Open Platform | Azure Data Explorer, Databricks, HDInsight, Data Lake Storage |
Data discovery | Amazon Athena | Big Query | – | Data Catalog, Azure Data Lake Analytics |
Search | Elasticsearch, CloudSearch | None – only App Engine | Databases for Elasticsearch | Azure Search |
Analytics | Kinesis Analytics | Google Cloud Dataflow | Streaming analytics | Stream Analytics, Data Lake Analytics, Data Lake Store |
Visualization | QuickSight | Google Data Studio (Beta) | – | PowerBI, PowerBI Embedded |
Machine Learning | Machine Learning, SageMaker | Google Cloud AI, Google Cloud Datalab, Google Cloud Machine Learning Engine | Watson | Azure Machine Learning Studio, Azure Machine Learning Workbench |
INTELLIGENCE | ||||
Visual Recognition | Amazon Rekognition | Vision API | Visual Recognition | Computer Vision API, Face API, Emotions API, Video API |
Virtual Personal Assistant | Alexa | Google Assistant | Virtual Personal Assistant | Cortana Intelligence Suite – Cortana Integration, Virtual Assistant – Bot service |
Text to Speech | Amazon Polly, Amazon Translate, Amazon Transcribe | Translation API, Speech API | – | Bing Speech API |
Speech recognition | Amazon Lex, Comprehend | Natural Language API | Natural Language Classifier, Language Translator, Alchemy API | Speaker Recognition, Speech to Text, Speech Translation |
IDENTITY, ACCESS AND SECURITY | ||||
Firewall | AWS Network Firewall, Web Application Firewall | – | Firewalls | Application Gateway Web Application Firewall (in preview) |
Authorization & Authentication | Identity and Access Management (IAM), Multi-Factor Authentication, AWS Organizations | Google Cloud Identity and Access Management | Feature in webportal | Azure Active Directory, Multi-Factor Authentication, Azure Subscription and Service Management + Azure RBAC |
Encryption | Amazon S3 Key Management Service for server-side encryption, Key Management Service, CloudHSM | Google Cloud Key Management Service | Hardware Security Module, Key Protect | Azure Storage Service Encryption, Key Vault |
Security | Inspector, Certificate Manager | – | SSL Certificates, Nessus Security Scanner | Defender for Cloud, Advanced Threat Protection, App Service Certificates, DDoS Protection Service |
Compliance | AWS Artifact | – | Security and Compliance Center | Microsoft Service Trust Portal |
Directory Services | AWS Directory Service + Windows Server Active Directory on AWS, Cognito, AWS Directory Service | Cloud IAM, Cloud Identity-Aware Proxy, Security Key Enforcement | App ID | Azure Active Directory Domain Services |
Information protection | Amazon Data Protection (Amazon Macie) | – | – | Azure Information Protection |
MONITORING AND MANAGEMENT | ||||
DevOps (Deployment Orchestration) | OpsWorks (Chef-based), CloudFormation | – | DevOps Insights | Azure Automation, Azure Resource Manager, VM extensions, Azure Automation |
Monitoring & Management (DevOps) | CloudWatch, CloudTrail, AWS X-Ray, AWS Usage and Billing Report, AWS Management Console | Google StackDriver, Monitoring, Logging, Error Reporting, Trace, Debugger | – | Azure portal, Azure Monitor, Azure Application Insights, Azure Billing API, Log Analytics |
Cloud advisor | Trusted Advisor | Google Cloud Platform Security | – | Azure Advisor |
Administration | AWS Application Discovery Service, Amazon EC2 Systems Manager, AWS Personal Health Dashboard, Third Party | – | – | Azure Log Analytics in Operations Management Suite; Microsoft Operations Management Suite – Automation and Control functionalities, Azure Resource Health, Azure Storage Explorer |
DEVELOPER TOOLS | ||||
Simple Email Service (SES) | – | SendGrid | – | |
Workflow | Simple Workflow Service (SWF) | Cloud Dataproc Workflow Templates | Business Rules | Logic Apps, Azure Automation |
Scheduling | Amazon CloudWatch Events, Amazon EventBridge, and AWS Lambda | – | Workload Scheduler | Azure Scheduler |
Media transcoding | Elastic Transcoder | – | – | Media Services |
Messaging | Simple Queue Service (SQS) | Google Cloud Pub/Sub | Compose for RabbitMQ | Azure Queue Storage, Service Bus Queues, Topics, Relays |
API Management | API Gateway, Elastic Beanstalk, CodeDeploy, CodeCommit, CodePipeline, AWS Developer Tools | Google Cloud Endpoints | API Connect | API Management, Web Apps, API Apps, Cloud Services, Visual Studio Team Services, Azure Developer Tools, Power Apps |
App testing | AWS Device Farm | Cloud Test Lab | – | Azure DevTest Labs (backend), Xamarin Test Cloud (frontend) |
DevOps | AWS CodeBuild, AWS Cloud9, AWS Code Star, AWS CodeCommit, AWS CodePipeline, AWS CodeDeploy, AWS X-Ray | Cloud Source Repositories | Active Deploy, Continuous Delivery, Delivery Pipeline, Globalization Pipeline, Track & Plan | Visual Studio Team Services |
App customer payment service | Amazon Flexible Payment Service and Amazon Dev Pay | – | – | – |
Game development (Cloud based tools) | GameLift, Lumberyard | – | Watson Unity SDK | PlayFab |
Predefined templates | AWS Quick Start | Instance Templates | Lifecycle project templates | Azure Quickstart templates |
Backend process logic | AWS Step Functions | App Engine | IBM Cloud Functions | Logic Apps |
Programmatic access | Command Line Interface | Cloud Shell | – | Azure Command Line Interface (CLI), Azure PowerShell |
ENTERPRISE INTEGRATION | ||||
Content management in cloud | Solodev DCX | Google Sites, Google Docs | IBM FileNet | SharePoint Online |
Enterprise app integration | – | Google App Engine | IBM WebSphere | Logic Apps |
Commercial PaaS – IaaS- DBaaS framework | – | – | IBM Cloud Private | Azure Stack |
Enterprise application services | WorkMail, WorkDocs, Chime | Google Enterprise Search | IBM offers Microsoft Consulting services for Dynamics 365, SharePoint and Office 365. | Microsoft 365 |
AWS vs Microsoft Azure vs Google Cloud Platform vs IBM: The public cloud prices’ comparison back to top
With the maturing of cloud computing, the prices of instances from cloud providers are also witnessing good reductions.
AWS cloud pricing reductions back to top
In addition to reducing prices on a regular basis, AWS also gives options to customers for optimizing their use of AWS. Reserved instances allow Amazon EC2 users for obtaining discounts when compared to on-demand pricing, in addition to capacity reservation when utilized in an Availability Zone.
The price cuts are so frequent that AWS has a blog category dedicated to price reduction!
As per the latest announcement by AWS, effective September 1, 2021 the prices have been reduced in 8 AWS regions.
Asia Pacific (Mumbai) – Up to 32%
Asia Pacific (Seoul) – Up to 32%
Asia Pacific (Singapore) – Up to 32%
Asia Pacific (Sydney) – Up to 32%
Canada (Central) – Up to 32%
Europe (Frankfurt) – Up to 32%
Europe (London) – Up to 32%
Europe (Paris) – Up to 32%
Note: This pricing change is not applicable to the Europe (Ireland), US-based commercial Regions, and US GovCloud Regions.
Below is the table showing before and after price reductions per 1,000 pages for processing the first 1 million monthly pages:
AWS Regions | DetectDocumentText API | AnalyzeDocument API (forms + tables) |
Reduction | Reduction | |
Asia Pacific (Mumbai) | -18% | -18% |
Asia Pacific (Seoul) | -19% | -19% |
Asia Pacific (Singapore) | -32% | -32% |
Asia Pacific (Sydney) | -23% | -23% |
Canada (Central) | -9% | -10% |
Europe (Frankfurt) | -20% | -20% |
Europe (London) | -14% | -13% |
Europe (Paris) | -15% | -15% |
Moreover, the end-to-end latency for Textract’s asynchronous API operations has been reduced by as much 50%. This means that customers are now able to process their documents faster and achieve scale with increased productivity.
Azure cloud pricing reductions back to top
In addition to reducing prices on a regular basis, AWS also gives options to customers for optimizing their use of AWS. Reserved instances allow Amazon EC2 users for obtaining discounts when compared to on-demand pricing, in addition to capacity reservation when utilized in an Availability Zone.
The price cuts are so frequent that AWS has a blog category dedicated to price reduction!
In order to offer competitive pricing, Microsoft also has been lowering prices on a frequent basis. Microsoft has a price match promise according to which, it has a commitment to match Amazon Web Services prices for commodity services such as compute, storage and bandwidth.
In November 2017, Microsoft made Azure Reserved VM Instances (RIs) generally available on one or three-year term basis, claiming that customers can get up to 72% cost savings over pay-as-you-go pricing.
In January 2022, Microsoft announced price reductions by up to 33% on the DCsv2 and DCsv3-series VMs. This price reduction provides data controller benefits on a per physical core basis to its users with no premium compared to general purpose VMs. The updated pricing can be seen on the Microsoft pricing page.
Read details in a report by Forrester.
Azure also offers billing per-second on container instances, for saving money and providing more transparency in billing.
Google cloud pricing reductions back to top
Google Cloud Platform is the cheapest option with it being 60% less expensive for compute as compared to other cloud services for various workloads, with no amount to be paid upfront. It has dropped its prices 3 times in last few years.
It provides per-second billing discounts, Sustained Usage Discounts (SUD) and Committed Use Discount (CUD) to the customers. Custom machine types help customers save up to 50% by matching the needed machine, eliminating over-provisioning and excess payment.
Google has publicly committed to passing along to customers any future price reductions Google achieves through technology-driven advancements in density, scale, power, and cooling. What Google provides is on-demand, real-time pricing. – ESG Labs Whitepaper
To align with other leading cloud service providers’ pricing strategies, Google has recently announced a list of pricing changes which will come into effect from October 1, 2022. Google has been analyzing its pricing structure with the goal of better aligning it towards customer needs and usage patterns. Through it, many customers will see a decrease in their bills. They can manage these price impacts by adjusting or modifying their implementations.
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IBM cloud pricing reductions back to top
With the increase in competition, trust in cloud and cloud -native deployment, the market is getting more mature with time, leading to price cuts spiralling to other services linked to VMs, like storage, Database etc.
While last few years saw the leading giants introducing price cuts on storage as it became the next front for competition to grab the bigger cloud market share, experts from 451 Research predict price cuts in relational databases to be the next competitive arena for them.
IBM pioneered this concept, and in March 2017, cut the price of its object storage, with Google, Microsoft and AWS quickly following suit. IBM’s Cloud Object Storage Flex (Flex), works on a “pay as you use” model of storage tiers and potentially lowers the price by 53 percent as compared to AWS S3 IA and 75 percent as compared to Azure GRS Cool Tier. Later, IBM again reduced prices for IBM Cloud virtual servers by 35% in October 2018 and IBM Cloud Bare Metal Servers by 17%, including 20TB of bandwidth, cost-free in 2019. In 2020, IBM became the most cost-effective cloud vendor.
This leads to an overall reduction in the price of the cloud instance.
Given below are the pricing of AWS, Azure, IBM and Google instances as on August 2022.
AWS | ||||
Name | vCPU | Memory | Storage | Amt/month |
t2.nano | 1 | 0.5 | EBS-Only | INR 379.52 |
t2.micro | 1 | 1.0 | EBS-Only | INR 676.58 |
t2.small | 1 | 2.0 | EBS-Only | INR 1,341.49 |
t2.medium | 2 | 4.0 | EBS-Only | INR 2,706.31 |
t2.large | 2 | 8.0 | EBS-Only | INR 5,412.62 |
t2.xlarge | 4 | 16.0 | EBS-Only | INR 10,825.25 |
t2.2xlarge | 8 | 32.0 | EBS-Only | INR 21,650.49 |
m4.large | 2 | 8.0 | EBS-Only | INR 5832.57 |
m4.xlarge | 4 | 16.0 | EBS-Only | INR 11,665.14 |
m4.2xlarge | 8 | 32.0 | EBS-Only | INR 23,330.27 |
m4.4xlarge | 16 | 64.0 | EBS-Only | INR 46660.55 |
m4.10xlarge | 40 | 160 | EBS-Only | INR 1,16,651.37 |
m4.16xlarge | 64 | 256 | EBS-Only | INR 1,86,642.20 |
c4.large | 2 | 3.75 | EBS-Only | INR 5832.57 |
c4.xlarge | 4 | 7.5 | EBS-Only | INR 11,606.81 |
c4.2xlarge | 8 | 15.0 | EBS-Only | INR 23,213.62 |
c4.4xlarge | 16 | 30.0 | EBS-Only | INR 46,427.25 |
c4.10xlarge | 36 | 60 | EBS-Only | INR 92,796.17 |
Azure | ||||
Name | CORE | RAM | STORAGE | Amt/month |
A0 | 1 | 0.75 GB | 20 GB | INR 1,166.51 |
A1 | 1 | 1.75 GB | 225 GB | INR 4,666.05 |
A2 | 2 | 3.50 GB | 490 GB | INR 9,332.11 |
A3 | 4 | 7.00 GB | 1000 GB | INR 18,664.22 |
A4 | 8 | 14.00 GB | 2040 GB | INR 37,328.44 |
A1 v2 | 1 | 2.00 GB | 10 GB | INR 3,791.17 |
A2 v2 | 2 | 4.00 GB | 20 GB | INR 7,932.29 |
A4 v2 | 4 | 8.00 GB | 40 GB | INR 16,681.15 |
A8 v2 | 8 | 16.00 GB | 80 GB | INR 34,995.41 |
A2mv2 | 2 | 16.00 GB | 20 GB | INR 11,373.51 |
A4mv2 | 4 | 32.00 GB | 40 GB | INR 23,913.53 |
A8mv2 | 8 | 64.00 GB | 80 GB | INR 50,160.09 |
IBM | ||||
NAME (x86 based profiles) | VCPU | RAM | Instance storage (GB) | Amt/month |
bx2-2×8 | 2 | 8 GB | – | INR 5,599.27 |
bx2d-2×8 | 2 | 8 GB | 75 | INR 6,065.87 |
bx2-4×16 | 4 | 16 GB | – | INR 11,198.53 |
bx2d-4×16 | 4 | 16 GB | 150 GB | INR 12,131.74 |
bx2-8×32 | 8 | 32 GB | – | INR 22,397.06 |
bx2d-8×32 | 8 | 32 GB | 300 GB | INR 24,321.81 |
bx2-16×64 | 16 | 64 GB | – | INR 44,794.13 |
bx2d-16×64 | 16 | 64 GB | 600 GB | INR 48,643.62 |
bx2-32×128 | 32 | 128 GB | – | INR 89,588.25 |
bx2d-32×128 | 32 | 128 GB | 1200 GB | INR 97,287.24 |
bx2-48×192 | 48 | 192 GB | – | INR 1,34,440.71 |
bx2d-48×192 | 48 | 192 GB | 1800 GB | INR 1,45,930.87 |
bx2-64×256 | 64 | 256 GB | – | INR 1,79,234.83 |
bx2d-64×256 | 64 | 256 GB | 2400 GB | INR 1,94,574.49 |
bx2-96×384 | 96 | 384 GB | – | INR 2,68,823.09 |
bx2d-96×384 | 96 | 384 GB | 3600 GB | INR 2,91,861.73 |
bx2-128×512 | 128 | 512 GB | – | INR 3,58,469.67 |
bx2d-128×512 | 128 | 512 GB | 4800 GB | INR 3,89,148.98 |
Name | Virtual CPUs | Memory | Hard disc | Price (INR) |
n1-standard-1 | 1 | 3.75GB | 30 GB | INR 2,770.46 |
n1-standard-2 | 2 | 7.5GB | 30 GB | INR 5,540.91 |
n1-standard-4 | 4 | 15GB | 30 GB | INR 11,081.82 |
n1-standard-8 | 8 | 30GB | 30 GB | INR 22,163.64 |
n1-standard-16 | 16 | 60GB | 30 GB | INR 44,327.29 |
n1-standard-32 | 32 | 120GB | 30 GB | INR 88,654.58 |
n1-standard-64 | 64 | 240GB | 30 GB | INR 1,77,309.15 |
n1-highmem-2 | 2 | 13GB | 30 GB | INR 6,900.10 |
n1-highmem-4 | 4 | 26GB | 30 GB | INR 13,800.21 |
n1-highmem-8 | 8 | 52GB | 30 GB | INR 27,600.41 |
n1-highcpu-2 | 2 | 1.80GB | 30 GB | INR 4,132.29 |
n1-highcpu-4 | 4 | 3.60GB | 30 GB | INR 8,264.59 |
n1-highcpu-8 | 8 | 7.20GB | 30 GB | INR 16,529.17 |
Got anything that you would like to add, add in the comments section.
The information in this blog has been updated on 26th August, 2022.
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