Microsoft Azure and Google Cloud are prominent competitors in the cloud computing sector. Azure gains an advantage with its seamless integration with Microsoft products, while Google Cloud is preferred for its comprehensive data analytics and machine learning features.
Features: Microsoft Azure offers comprehensive integration with Microsoft products, extensive PaaS solutions, and excels in hybrid cloud environments. It provides extensive support for large-scale enterprise applications and seamless on-premises integration. Google Cloud excels in data analytics and machine learning capabilities and is highly integrated with open-source technologies. It caters to data-driven businesses and offers advanced AI tools for developers.
Room for Improvement: Microsoft Azure is often critiqued for high pricing, complex cost models, and updates that may cause disruptions. Documentation and open-source technology integration could see improvements. While Google Cloud is user-friendly, it could benefit from enhanced support and increased local data center presence. Users desire optimized pricing and expanded storage options.
Ease of Deployment and Customer Service: Both Azure and Google Cloud offer efficient deployment processes. Azure is ideal for hybrid setups due to on-premises integration, yet receives mixed reviews on customer service, particularly concerning support channel complexity. Google Cloud's straightforward processes appeal to SMEs and generally receives positive feedback on support, though broader options are desired.
Pricing and ROI: Microsoft Azure offers competitive enterprise pricing but presents challenges due to its intricate pricing structure. Despite this, it shows ROI through operational efficiency and infrastructure cost reduction. Google Cloud is seen as cost-effective with a pay-as-you-go model, though it can be pricier in certain regions compared to Azure. Both platforms offer strong ROI potential, varying by user needs.
The value for money is good, and Microsoft Azure has positively impacted our operational costs.
When we use Microsoft Azure, it provides enhanced security from our perspective, though I am not certain about the financial return on investment or benefits for our users as I do not have that information.
I consider them good partners when it comes to support.
We have consulted Google support several times, and we received a quick response.
Cloud support directly is not strong, but via partners is strong.
Regarding technical support from Microsoft, I find they are responsive and helpful, depending on which support package you're on.
The support from Microsoft Azure is good.
I rate technical support as excellent because we have not experienced many problems when calling for assistance.
If I had to rate scalability from one to ten, I would rate it a nine as we have never faced any issues with scalability.
This solution is suitable for enterprise-level organizations, particularly in finance and healthcare domains where there is substantial data volume.
The scalability of Microsoft Azure is excellent for growth and adaptation, depending on company requirements.
Microsoft Azure is not just one product; it is a platform with multiple products within Microsoft Azure, and I would say it is scalable and would rate it a nine.
Scalability with Microsoft Azure is amazing, which is a primary reason for using cloud solutions.
Microsoft Azure is quite stable, but recent outages and security issues have slightly decreased my confidence.
If the hierarchy or similarities were the same, that would help developers more conveniently migrate from a traditional SQL server to BigQuery.
Providing more hypervisors would be beneficial.
The logging could be improved; there's currently no intuitive way to filter logs on the Google console, especially for individuals who are not familiar with query languages.
There is still room for improvement in terms of pricing.
The administrative side is suitable for technical people, but our finance and HR super users find it less user-friendly, as they prefer drag-and-drop features to build their own solutions without contacting IT.
We cannot progress without artificial intelligence because technology is moving in that direction, and we should adapt to be in line with those developments.
As far as I know, it is a little more expensive compared to other cloud options.
Microsoft solutions might be cheaper than some services like AWS, but some solutions may be more expensive depending on the services compared.
Copilot is expensive based on recent pricing for our POC.
Regarding the pricing for Microsoft Azure services, I would rate our satisfaction as very good.
The most valuable features of Google Cloud for us are the integration with Kubernetes, IAM, Istio integration, and Terraform capabilities.
We mainly use Google Cloud products that are centered around Data Warehouse, specifically BigQuery.
If customers use different technologies within their environment, GCP cannot offer a full performance analysis covering all the disclosures.
Power BI, another feature of Azure, is extremely elegant and has robust features that support forecasting using R and Python.
Data integrations are particularly effective on Microsoft Azure, especially with our banner services that we automate through Power Automate.
The scalability of Microsoft Azure is very good for growing and adapting to company requirements.
| Product | Market Share (%) |
|---|---|
| Microsoft Azure | 15.5% |
| Google Cloud | 6.5% |
| Other | 78.0% |
| Company Size | Count |
|---|---|
| Small Business | 40 |
| Midsize Enterprise | 8 |
| Large Enterprise | 32 |
| Company Size | Count |
|---|---|
| Small Business | 136 |
| Midsize Enterprise | 52 |
| Large Enterprise | 146 |
Google Cloud is an Infrastructure as a Service Cloud (IaaS) and Platform as a Service (PaaS) solution that provides infrastructure tools and services for building applications on top of a public cloud computing platform. As one of the leading global infrastructures, this product allows users to securely manage enterprise data, receive valuable insights, and store documents. Google Cloud provides its various services through tools and services for data warehousing, security key enforcement, application programming interface (API) management, artificial intelligence (AI), and machine learning (ML).
The use cases of Google Cloud can be divided into four main categories:
The solution is utilized by organizations of all sizes and industries, as it is suitable for the following purposes:
Google Cloud Features
Google Cloud offers multiple features for its clients. Some of these include:
Google Cloud Benefits
Google Cloud brings various benefits to its users. Some of these include the following:
Reviews from Real Users
Isuru P., an assistant vice president at a tech services company, likes Google Cloud because it is easy to deploy next-generation applications using it.
An IT solutions consultant at a tech services company rates Google Cloud highly because they find the solution stable with a good user experience and a straightforward setup.
Microsoft Azure integrates services and offers flexibility, ensuring compatibility with diverse environments. Its scalability, security, and cost-efficient features enhance deployment and management, making it ideal for infrastructure services and application hosting.
Azure provides a comprehensive suite of tools for application deployment, virtual machine management, and data analytics. It allows seamless integration with Power BI and offers a user-friendly interface supported by detailed documentation and technical support. Though users appreciate its capabilities, they sometimes face challenges with costs, setup, and interface complexity, alongside integration and performance issues. Frequent updates and a learning curve are also noted, though Azure's cloud-based security and scalability remain critical for disaster recovery and business continuity.
What are Azure's key features?Microsoft Azure is widely implemented in industries like financial services, healthcare, and logistics for hosting enterprise applications and vital services. Companies utilize its capabilities for IoT applications, DevOps, and Kubernetes clusters, benefiting from its cloud migrations, data analytics, and active directory support.
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