1300 633 225 Request free consultation

Enterprise Environments & Platforms

As a custom software development company, we understand the importance of selecting the right platform or environment to meet your business needs. Our team of experts has extensive experience in working with a variety of environments and platforms to ensure that we provide the best solutions to our clients.

In this section, we will provide you with information about the different environments and platforms that we work with. Whether you are looking for cloud-based solutions or on-premises installations, we have the expertise to help you find the best solution for your business. Our aim is to provide you with the knowledge and resources you need to make informed decisions about which environments and platforms will work best for your business.

Environments & Platforms we work with

1. Azure

Azure is a powerful cloud computing platform that is widely used for its flexibility and scalability. It provides a range of services that enable businesses to build, deploy and manage applications on the cloud. Our team of experts at WNPL has extensive experience in developing and deploying applications on Azure. We provide a range of Azure services, including cloud storage, virtual machines, databases, and more. Our team can also help you optimize your Azure environment to ensure that your applications are running smoothly and efficiently.

2. AWS

AWS is a popular cloud computing platform that provides a range of services to businesses of all sizes. At WNPL, we offer AWS services to help businesses build and deploy applications on the cloud. Our team of experts can help you with AWS services such as Elastic Compute Cloud (EC2), Simple Storage Service (S3), Relational Database Service (RDS), and more. We can also help you optimize your AWS environment to ensure that your applications are running efficiently.

3. Google Cloud

Google Cloud is a powerful cloud computing platform that provides a range of services to businesses. At WNPL, we offer Google Cloud services to help businesses build and deploy applications on the cloud. Our team of experts can help you with Google Cloud services such as Compute Engine, Cloud Storage, Cloud SQL, and more. We can also help you optimize your Google Cloud environment to ensure that your applications are running efficiently.

4. IBM Cloud

IBM Cloud is a powerful cloud computing platform that provides a range of services to businesses. At WNPL, we offer IBM Cloud services to help businesses build and deploy applications on the cloud. Our team of experts can help you with IBM Cloud services such as Virtual Private Cloud (VPC), Cloud Object Storage, IBM Watson, and more. We can also help you optimize your IBM Cloud environment to ensure that your applications are running efficiently.

5. Oracle Cloud

Oracle Cloud is a powerful cloud computing platform that provides a range of services to businesses. At WNPL, we offer Oracle Cloud services to help businesses build and deploy applications on the cloud. Our team of experts can help you with Oracle Cloud services such as Compute, Storage, Database, and more. We can also help you optimize your Oracle Cloud environment to ensure that your applications are running efficiently.

6. Alibaba Cloud

Alibaba Cloud is a powerful cloud computing platform that provides a range of services to businesses. At WNPL, we offer Alibaba Cloud services to help businesses build and deploy applications on the cloud. Our team of experts can help you with Alibaba Cloud services such as Elastic Compute Service (ECS), Object Storage Service (OSS), ApsaraDB for RDS, and more. We can also help you optimize your Alibaba Cloud environment to ensure that your applications are running efficiently.

7. DigitalOcean

DigitalOcean is a popular cloud computing platform that provides a range of services to businesses. At WNPL, we offer DigitalOcean services to help businesses build and deploy applications on the cloud. Our team of experts can help you with DigitalOcean services such as Droplets, Spaces, Databases, and more. We can also help you optimize your DigitalOcean environment to ensure that your applications are running efficiently.

Comparison of platforms

The following tables compares and contrasts these popular cloud providers. This includes information on the provider's URL, comparative AI capabilities, comparative big data capabilities, and whether the provider is considered relatively inexpensive compared to other providers. This information can help organizations make informed decisions about which cloud provider is the best fit for their specific needs and use cases.

Pros and Cons

The following table includes information on the provider's market share, number of regions and availability zones, and the year the provider was founded. This information can help organizations assess the overall size and scope of each provider and their potential ability to meet the organization's needs.

Cloud Provider

Company

Launch Year

Market Share

Advantages

Disadvantages

AWS

Amazon

2006

32.4%

- First mover advantage
- Largest market share
- Widest range of services
- Strong developer ecosystem
- Integration with other Amazon services

- Complexity can be overwhelming for beginners
- Lack of transparency in pricing
- Limited support for hybrid cloud

Azure

Microsoft

2010

20.4%

- Easy integration with other Microsoft services
- Strong hybrid cloud offerings
- Comprehensive security measures
- Great for Windows-based workloads

- Some users report difficulty in navigating the portal
- Pricing can be complex

Google Cloud

Google

2011

8.5%

- Strong AI and machine learning capabilities
- Emphasis on open source technology
- Great for data analytics
- Competitive pricing

- Smaller market share than AWS and Azure
- Not as many third-party tools as AWS
- Limited support for Windows-based workloads

IBM Cloud

IBM

2013

5.1%

- Strong hybrid cloud offerings
- Good for enterprise workloads
- Comprehensive security measures

- Smaller market share than AWS, Azure, and Google Cloud
- Limited tooling for some use cases

Oracle Cloud

Oracle

2016

2.2%

- Good for enterprise workloads
- Strong hybrid cloud offerings
- Comprehensive security measures

- Smaller market share than AWS, Azure, and Google Cloud
- Limited tooling for some use cases

Alibaba Cloud

Alibaba

2009

6.8%

- Good for users in Asia and China
- Competitive pricing
- Strong support for e-commerce and retail businesses

- Limited geographic coverage compared to other cloud providers
- Smaller market share than AWS and Azure
- Limited support for non-Chinese languages

DigitalOcean

DigitalOcean

2011

0.8%

- Cost-effective pricing
- User-friendly interface
- Great for small businesses and developers

- Limited service offerings compared to other cloud providers
- Not ideal for enterprise workloads
- Limited geographic coverage

AI and BigData capabilities

The following table includes information on the provider's comparative AI capabilities and comparative big data capabilities to help organizations make informed decisions about which cloud provider is the best fit for their specific needs and use cases.

Cloud Provider

URL

*Cheap?

Comparative AI Capabilities

Comparative Big Data Capabilities

AWS

https://aws.amazon.com/

No

Leading in AI/ML services and innovation

Leading big data services, data warehousing, and analytics

Azure

https://azure.microsoft.com/

No

Strong AI/ML services and integration

Comprehensive big data services, including Azure Synapse and HDInsight

Google Cloud

https://cloud.google.com/

No

Strong AI/ML services, emphasis on AI research

Strong big data services, including BigQuery and Dataflow

IBM Cloud

https://www.ibm.com/cloud

No

Comprehensive AI/ML services

Comprehensive big data services, including IBM Cloud Pak for Data

Oracle Cloud

https://www.oracle.com/cloud/

No

Comprehensive AI/ML services

Comprehensive big data services, including Oracle Autonomous Database

Alibaba Cloud

https://www.alibabacloud.com/

Yes

Strong AI/ML services, including Natural Language Processing and Computer Vision

Comprehensive big data services, including MaxCompute and DataWorks

DigitalOcean

https://www.digitalocean.com/

Yes

No AI/ML services offered

Limited big data services, primarily focused on storage and hosting

*Note: The "Cheap?" column indicates whether the cloud provider is generally considered to be relatively inexpensive compared to other providers. This is a subjective measure and may vary depending on specific use cases and individual opinions.

Summary

After working with several cloud providers, including AWS, Azure, Google Cloud, IBM Cloud, Oracle Cloud Infrastructure, Alibaba Cloud, and DigitalOcean, we found the following:

AWS has the largest market share and offers the widest range of services. It has a strong developer ecosystem and is ideal for complex workloads. However, its pricing can be complex and lacks transparency, and it has limited support for hybrid cloud environments.

Azure is known for its easy integration with other Microsoft services and its strong hybrid cloud offerings. It also has comprehensive security measures and is great for Windows-based workloads. However, some users report difficulty in navigating the portal, and its pricing can be complex.

Google Cloud is a strong choice for AI and machine learning capabilities. It emphasizes open source technology and is great for data analytics. However, it has a smaller market share than AWS and Azure, and it has limited support for Windows-based workloads.

IBM Cloud offers strong hybrid cloud offerings and is great for enterprise workloads. It has comprehensive security measures but has a smaller market share than AWS, Azure, and Google Cloud, and it may have limited tooling for some use cases.

Oracle Cloud Infrastructure is a good choice for enterprise workloads and has strong hybrid cloud offerings. It also has comprehensive security measures, but its market share is smaller than AWS, Azure, and Google Cloud, and it may have limited tooling for some use cases.

Alibaba Cloud is a strong choice for users in Asia and China. It has competitive pricing and strong support for e-commerce and retail businesses. However, it has a smaller market share than AWS and Azure, and it has limited support for non-Chinese languages.

DigitalOcean is a good option for small businesses and developers. It offers affordable pricing and has a user-friendly interface. However, it has limited service offerings compared to other cloud providers and may not be ideal for enterprise workloads.

In terms of specific capabilities, AWS is a leader in AI/ML services and innovation and has leading big data services. Azure has strong AI/ML services and integration and comprehensive big data services. Google Cloud has strong AI/ML services and emphasis on AI research and strong big data services. IBM Cloud has comprehensive AI/ML services and comprehensive big data services, including IBM Cloud Pak for Data. Oracle Cloud Infrastructure has comprehensive AI/ML services and comprehensive big data services, including Oracle Autonomous Database. Alibaba Cloud has strong AI/ML services, including Natural Language Processing and Computer Vision, and comprehensive big data services, including MaxCompute and DataWorks. DigitalOcean does not offer AI/ML services and has limited big data services, primarily focused on storage and hosting.

Overall, choosing a cloud provider depends on a variety of factors, including specific use cases, budget, and organizational priorities. By understanding the advantages and disadvantages of each provider, organizations can make informed decisions about which cloud provider is the best fit for their needs.

Custom AI/ML and Operational Efficiency development for large enterprises and small/medium businesses.
Request free consultation
1300 633 225

Request free consultation

Free consultation and technical feasibility assessment.
×

Trusted by

Copyright © 2024 WNPL. All rights reserved.