Microsoft Azure Pricing & Demo

Microsoft Azure
Washington, USA
More than $100 BN
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Microsoft Azure USP

Microsoft offers IoT analytics software through its Azure IoT Suite and Stream Analytics, which are used in various business areas, including banking, financial services, retail, education, healthcare, and marketing sectors. Any device, regardless of the IoT device type or OS can be connected to the Microsoft Azure IoT suite and the cloud, where they can be used to communicate between employees and customers. Microsoft also provides Business Intelligence (BI) tools to gain deeper insights into what employees and customers need, by analyzing the IoT data. Request Microsoft Azure Pricing to get more information.


Microsoft Azure IoT Suite provides various features, such as enhanced security with pre-device authentication and methods for quick connection between IoT devices. The suite helps analyze data streams in motion, collect data from various data devices, store and query large data sets, visualize the real-time and historic data, and integrate data with back office systems.

Microsoft Azure Stream Analytics and Power BI can also be integrated with each other, which enables engineers to create real-time interactive dashboards. Microsoft IoT Analytics can be deployed on-premises as well as on cloud, which gives clients an option to choose depending on their usage and budget. The company’s pricing strategies depend on if the client use its solutions/software on subscription, user basis, or purchase entire software.

Microsoft AoT solutions and services find their applications in an array of fields, such as sales, finance, HR, supply chain, and customer service. The end-users for the Microsoft Azure IoT suite include data scientists, application developers, business analysts and consultants. Pre-sales support offered by Microsoft includes trial, testing and development of product demos, and proof of concept. The preferred mode of delivery of support services is both on-site support as well as remote support for IoT Analytics.

360 Quadrants

Strengths and Weaknesses
  • +8 Business Applications
  • +7 Delivery
  • +6 Product Features and Functionality
  • +10 Batch Data Processing
  • +12 Directly
  • +11 Real-time Streaming Data Processing (Data-in-Motion)
  • +13 Through Partners / Third-Party Vendors
  • +6 Semi-Structured Data
  • +5 Structured Data
  • +7 Unstructured Data
  • +8 Hosted / On-Cloud
  • +7 On-Premise
  • +10 Descriptive Analytics
  • +11 Diagnostics Analytics
  • +12 Predictive Analytics
  • +9 Databases
  • +8 Microsoft Corporation Office (including Spreadsheet)
  • +11 On-Site Support
  • +7 Programming Language (such as R, Python, Java)
  • +12 Remote Support
  • -7 Difficult to understand
  • -6 Expensive
  • -5 Slow processing
  • -13 Customer Redressal Mechanism/Program
  • -12 Level of Support
  • -13 Prescriptive Analytics
  • -11 Any other Integration type
  • -12 Protocols for Data Collection (such as LAN, DNP3, SCADA, etc.)
  • -13 Any Other Data Preparation Features
  • -9 Any Other Data Presentation Features
  • -7 Other Data formats
  • -6 Other applications
  • -11 Managed Services
  • -14 Other data
  • -6 Other Services
  • -7 Data Latency
  • -10 In-Memory Analytics
  • -11 Any Other Data Processing Features
  • -9 Other Data Analysis technology and methods
  • -6 Other End-Users
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Microsoft Azure presence in IoT Analytics Software

Microsoft has its presence in 100 countries across the Americas, EMEA, and APAC. The company has its operation centers for operations such as customer contract and order processing, credit and collections, information processing, and vendor management and logistics. Microsoft has a regional center in Ireland that supports the operations in the EMEA region. The regional center in Singapore supports Japan, India, Greater China, and Asia Pacific, whereas the centers in Fargo, North Dakota, Fort Lauderdale, Florida, Puerto Rico, Redmond, Washington, and Reno, Nevada support Latin America and North America. In addition to the operations centers, the company also operates datacenters throughout the Americas, Australia, Europe, and Asia. Microsoft caters to many industry verticals, such as BFSI, retail, education, healthcare, and marketing. Microsoft distributes and markets its products through OEMs, resellers, and distributors, as well as through online and Microsoft retail stores. This helps the company to reach a wider audience ensuring that its products are available globally. The company believes in innovation and mainly develops most of its products and services internally through its engineering groups: applications and service engineering groups, cloud and enterprise engineering group, and windows and devices engineering groups. The company has invested in its R&D activities and internal developments. This has helped Microsoft gain a competitive edge over its rivals by launching innovative products, and have closer technical control over its products and services. The company follows a mix of organic and inorganic growth strategies to further strengthen its presence in the market. For instance, in February 2017, Microsoft collaborated with Tata Motors (India), an automotive manufacturing company, to leverage the connected vehicle technology of Microsoft, and to combine AI, advanced machine learning, and IoT capabilities on the Azure cloud. This shows that the company is constantly trying to broaden and complement its applications offerings to provide a broad array of services, which lie outside its primary focus areas. Microsoft also continuously tries to improve its existing product offerings to change with the moving trends and enhance customer satisfaction. For instance, in June 2016, Microsoft launched a new feature in Azure IoT Hub that enabled its users to upload files to cloud from their devices with the assistance of IoT Hub. The company is distributing its software solutions across the world through channel partners, Value Added Resellers (VARs), distributors and system integrators which include AppRiver, Capgemini SE, and Cireson.

Top Features

  1. Product Features and Functionality / Data Analysis Technology and Methods
  2. Product Features and Functionality / Type of Data
  3. Product Features and Functionality / Data Processing Features
  4. Product Features and Functionality / Data Presentation Features
  5. Product Features and Functionality / Data Formats
  6. Product Features and Functionality / Data Preparation Features
  7. Product Features and Functionality / Data Coverage
  8. Product Features and Functionality / Data Analysis Techniques
  9. Product Features and Functionality / Data Processing Techniques
  10. Services Offered / Education & Training
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