Amazon EC2 vs Azure Stream Analytics comparison

Why PeerSpot?

The compared Amazon Web Services (AWS) and Microsoft solutions aren't in the same category. Amazon Web Services (AWS) is ranked #2 in CS , with an average rating of 9.2, and holds a 14.9% mindshare in the category. Microsoft is ranked #2 in SA , with an average rating of 6.7, and holds a 6.2% mindshare. Additionally, 98% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 90% of Microsoft users who would recommend it.

Amazon EC2

Read 74 Amazon EC2 reviews

8,273 Views
7,859 Comparison Views

98% willing to recommend

Azure Stream Analytics

Read 30 Azure Stream Analytics reviews

6,529 Views
6,072 Comparison Views

90% willing to recommend

Amazon EC2

Azure Stream Analytics

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon EC2 and Azure Stream Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service.

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Buyer's Guide

Compute Service

August 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

ROI

Sentiment score

6.4

Amazon EC2 delivers cost savings and efficiency, enhancing innovation and agility despite higher costs than on-premise solutions.

Sentiment score

4.7

Azure Stream Analytics offers quick, efficient streaming solutions with about 10% ROI, minimizing upfront costs through its cloud-based setup.

This cost factor has an impact on the project, giving us more possibilities to configure other services and greater financial freedom.

reviewer2879559

Data Engineer I at a energy/utilities company with 10,001+ employees

I would say I have saved more than a week with Amazon EC2 compared to my previous on-premises setup.

reviewer2783892

Architect at a outsourcing company with 1,001-5,000 employees

For more quotes and insights, download the Amazon EC2 report

No quotes available

For more quotes and insights, download the Azure Stream Analytics report

Customer Service

Sentiment score

6.7

Amazon EC2 support is generally effective, though premium support excels, with some challenges in technical integration and communication.

Sentiment score

6.0

Azure Stream Analytics customer service is generally supportive, though response times and quality can vary by subscription and location.

I would rate technical support from Amazon a 10, as we have on-prem AWS experts.

Mike Duffy

Consultant at a consultancy with 1-10 employees

On a scale from one to ten, I would rate the AWS support team a seven.

Pushkar Kodag

Senior Infrastructure Engineer at Principal Global Services

Amazon's customer support is much better than other clouds.

reviewer2879559

Data Engineer I at a energy/utilities company with 10,001+ employees

For more quotes and insights, download the Amazon EC2 report

There is a big communication gap due to lack of understanding of local scenarios and language barriers.

Kay Li

PU Head of Manufacturing Industry at Wiadvance Technology Co

They've managed to answer all my questions and provide help in a timely manner.

Sarath Boppudi

Data Strategist, Cloud Solutions Architect at BiTQ

The support on critical issues depends on the level of subscription that you have with Microsoft itself.

Mahmoud Abukhamseh

DevSecOps Manager at APGecommerce

For more quotes and insights, download the Azure Stream Analytics report

Scalability Issues

Sentiment score

7.7

Amazon EC2 is highly praised for its scalability and autoscaling features, contributing to cost efficiency and reliability.

Sentiment score

7.3

Azure Stream Analytics provides efficient, scalable real-time data streaming with minimal maintenance, supporting diverse industries through straightforward scaling.

No quotes available

For more quotes and insights, download the Amazon EC2 report

Maintenance requires a couple of people, however, it's not a full-time endeavor.

SantiagoCordero

Director, Governance & Infrastructure & Director at VASS

This is crucial for applications demanding constant monitoring, such as healthcare or financial services.

Chandra Mani

Technical architect at Tech Mahindra

Azure Stream Analytics is scalable, and I would rate it seven out of ten.

Kay Li

PU Head of Manufacturing Industry at Wiadvance Technology Co

For more quotes and insights, download the Azure Stream Analytics report

Stability Issues

Sentiment score

8.1

Amazon EC2 is highly stable, with minimal downtime and issues usually caused by specific use cases or misconfigurations.

Sentiment score

6.3

Azure Stream Analytics is typically stable, though challenges include VM errors and job failures; support is efficiently accessible.

It is somewhat more reliable compared to Azure.

Pushkar Kodag

Senior Infrastructure Engineer at Principal Global Services

Amazon EC2 is stable and more economical.

reviewer2879559

Data Engineer I at a energy/utilities company with 10,001+ employees

For more quotes and insights, download the Amazon EC2 report

They require significant effort and fine-tuning to function effectively.

SantiagoCordero

Director, Governance & Infrastructure & Director at VASS

For example, Azure Stream Analytics processes more data every second, which is why it's recommended for real-time streaming.

Chandra Mani

Technical architect at Tech Mahindra

For more quotes and insights, download the Azure Stream Analytics report

Room For Improvement

Amazon EC2 users seek cost reduction, improved documentation, better UI, seamless integrations, scalability, and more user-friendly tools.

Azure Stream Analytics needs improved integration, flexibility, UI, job monitoring, Power BI compatibility, and AI-enhanced features for better user experience.

I have heard from multiple people that if you have an Amazon EC2 instance running and you stop it, the billing continues unless you terminate the Amazon EC2 instance.

Shakir Bhatt

Senior Software Engineer at a tech vendor with 1,001-5,000 employees

I think improvements can be made to Amazon EC2 by increasing the memory, offering more instance types, and including GPUs as mentioned in the keynote.

reviewer2783892

Architect at a outsourcing company with 1,001-5,000 employees

There was not proper documentation on how to install the patch managers and automate patching with System Managers.

Pushkar Kodag

Senior Infrastructure Engineer at Principal Global Services

For more quotes and insights, download the Amazon EC2 report

A cost comparison between products is also not straightforward.

SantiagoCordero

Director, Governance & Infrastructure & Director at VASS

There's setup time required to get it integrated with different services such as Power BI, so it's not a straight out-of-the-box configuration.

Sarath Boppudi

Data Strategist, Cloud Solutions Architect at BiTQ

Azure Stream Analytics currently allows some degree of code writing, which could be simplified with low-code or no-code platforms to enhance performance.

Chandra Mani

Technical architect at Tech Mahindra

For more quotes and insights, download the Azure Stream Analytics report

Setup Cost

Amazon EC2 offers flexible, scalable pricing with potential savings, though cost management requires strategic planning to address complexities.

Azure Stream Analytics pricing is competitive, with optimization options, but billing complexity and short free trial need improvement.

The licensing fees for Amazon EC2 are affordable, especially for lower tiers where there are fewer requirements or where the load is very low for product development.

Pushkar Kodag

Senior Infrastructure Engineer at Principal Global Services

I found it very cheap and a fair price according to what we need.

reviewer2879559

Data Engineer I at a energy/utilities company with 10,001+ employees

For more quotes and insights, download the Amazon EC2 report

Choosing between pay-as-you-go or enterprise models can affect pricing, and depending on data volume, charges might increase substantially.

Chandra Mani

Technical architect at Tech Mahindra

From my point of view, it should be cheaper now, considering the years since its release.

SantiagoCordero

Director, Governance & Infrastructure & Director at VASS

We sell the data analytics value and operational value to customers, focusing on productivity and efficiency from the cloud.

Kay Li

PU Head of Manufacturing Industry at Wiadvance Technology Co

For more quotes and insights, download the Azure Stream Analytics report

Valuable Features

Amazon EC2 provides scalable, flexible, cost-effective cloud resources with seamless AWS integration, security, and tools like Docker and Kubernetes.

Azure Stream Analytics provides scalable, user-friendly real-time analytics with SQL-based queries, IoT compatibility, and integrated machine learning features.

With the cloud, deployment is easy, and within a minute, we can deploy the server and give it to the developers so they can work on it right away after deployment.

reviewer2783892

Architect at a outsourcing company with 1,001-5,000 employees

The main benefits Amazon EC2 provides for me as an end user are cost savings, as they are more OpEx costs rather than CapEx for us.

Mike Duffy

Consultant at a consultancy with 1-10 employees

Amazon EC2 offers flexibility.

Shakir Bhatt

Senior Software Engineer at a tech vendor with 1,001-5,000 employees

For more quotes and insights, download the Amazon EC2 report

It's very accurate and uses existing technologies in terms of writing queries, utilizing standard query languages such as SQL, Spark, and others to provide information.

Sarath Boppudi

Data Strategist, Cloud Solutions Architect at BiTQ

Azure Stream Analytics reads from any real-time stream; it's designed for processing millions of records every millisecond.

Chandra Mani

Technical architect at Tech Mahindra

It is quite easy for my technicians to understand, and the learning curve is not steep.

SantiagoCordero

Director, Governance & Infrastructure & Director at VASS

For more quotes and insights, download the Azure Stream Analytics report

Categories and Ranking

Amazon EC2

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Compute Service (2nd)

Azure Stream Analytics

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Streaming Analytics (2nd)

Mindshare comparison

Amazon EC2 and Azure Stream Analytics aren’t in the same category and serve different purposes. Amazon EC2 is designed for Compute Service and holds a mindshare of 14.9%, up 8.4% compared to last year.
Azure Stream Analytics, on the other hand, focuses on Streaming Analytics, holds 6.2% mindshare, down 8.0% since last year.

Compute Service Mindshare Distribution
Product	Mindshare (%)
Amazon EC2	14.9%
AWS Lambda	14.7%
AWS Fargate	9.5%
Other	60.9%

Compute Service

Streaming Analytics Mindshare Distribution
Product	Mindshare (%)
Azure Stream Analytics	6.2%
Databricks	7.4%
Apache Flink	7.0%
Other	79.4%

Streaming Analytics

Featured Reviews

reviewer2879559

Data Engineer I at a energy/utilities company with 10,001+ employees

Flexible virtual machines have accelerated data experimentation and reduced project costs

The best features that Amazon EC2 offers are the availability and the freedom to work with whatever I want. I can configure simpler machines to conduct quicker tests, or I can configure more robust machines according to what the project needs, including machines with a visual operating system. Regarding this flexibility, it impacts my day-to-day work and the projects I develop in terms of speed. If I want to test a project that has JavaScript with Angular and Node.js and I need to install MongoDB, I can configure a machine quickly, tailored for that, and get the data via API from somewhere. If I had to do this on my company machine, I would have to open a ticket with IT and explain the project. Something I could do in one day through my own processes would take two weeks through the company's procedures. Amazon EC2 has had a positive impact on my organization because its configuration offers more options than other clouds. Especially in the IoT area, we prefer to use AWS rather than Microsoft because of the robustness and security, whether in a gateway that we configure, in a firewall, or elsewhere. We adapted better to Amazon EC2.

Read full review

Chandra Mani

Technical architect at Tech Mahindra

Has supported real-time data validation and processing across multiple use cases but can improve consumer-side integration and streamlined customization

I widely use AKS, Azure Kubernetes Service, Azure App Service, and there are APM Gateway kinds of things. I also utilize API Management and Front Door to expose any multi-region application I have, including Web Application Firewalls, and many more—around 20 to 60 services. I use Key Vault for managing secrets and monitoring Azure App Insights for tracing and monitoring. Additionally, I employ AI search for indexer purposes, processing chatbot data or any GenAI integration. I widely use OpenAI for GenAI, integrating various models with our platform. I extensively use hybrid cloud solutions to connect on-premise cloud or cloud to another network, employing public private endpoints or private link service endpoints. Azure DevOps is also on my list, and I leverage many security concepts for end-to-end design. I consider how end users access applications to data storage and secure the entire platform for authenticated users across various use cases, including B2C, B2B, or employee scenarios. I also widely design multi-tenant applications, utilizing Azure AD or Azure AD B2C for consumers. Azure Stream Analytics reads from any real-time stream; it's designed for processing millions of records every millisecond. They utilize Event Hubs for this purpose, as it allows for event processing. After receiving data from various sources, we validate and store it in a data store. Azure Stream Analytics can consume data from Event Hubs, applying basic validation rules to determine the validity of each record before processing.

Read full review

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Top Industries

By visitors reading reviews

Marketing Services Firm

11%

Outsourcing Company

10%

Construction Company

Manufacturing Company

Financial Services Firm

11%

Manufacturing Company

10%

University

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	14
Large Enterprise	30

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	3
Large Enterprise	17

Questions from the Community

What is your experience regarding pricing and costs for Amazon EC2?

My experience with pricing, setup costs, and licensing was fine. I found it very cheap and a fair price according to what we need.

See all answers

What needs improvement with Amazon EC2?

I cannot think of a way for Amazon EC2 to be improved.

See all answers

What is your primary use case for Amazon EC2?

I have been working as a data engineer for four years now. In my first year, I worked at a logistics company where I focused exclusively on data. At Energisa, I work in the innovation area, where I...

See all answers

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

See all answers

What is your experience regarding pricing and costs for Azure Stream Analytics?

Azure charges in various ways based on incoming and outgoing data processing activities. Choosing between pay-as-you-go or enterprise models can affect pricing, and depending on data volume, charge...

See all answers

What needs improvement with Azure Stream Analytics?

There is a need for improvement in reprocessing or validation without custom code. Azure Stream Analytics currently allows some degree of code writing, which could be simplified with low-code or no...

See all answers

Comparisons

AWS Lambda vs Amazon EC2

Compared 12% of the time

AWS Fargate vs Amazon EC2

Compared 11% of the time

Zadara vs Amazon EC2

Compared 11% of the time

Apache Spark vs Amazon EC2

Compared 10% of the time

AWS Compute Optimizer vs Amazon EC2

Compared 1% of the time

More Amazon EC2 Competitors

Databricks vs Azure Stream Analytics

Compared 12% of the time

Apache Spark Streaming vs Azure Stream Analytics

Compared 9% of the time

Confluent vs Azure Stream Analytics

Compared 9% of the time

Amazon Kinesis vs Azure Stream Analytics

Compared 8% of the time

Apache Flink vs Azure Stream Analytics

Compared 8% of the time

More Azure Stream Analytics Competitors

Product Reports

Buyer's Guide

Amazon EC2

August 2026

Download Amazon EC2 product report

Buyer's Guide

Azure Stream Analytics

August 2026

Download Azure Stream Analytics product report

Also Known As

Amazon Elastic Compute Cloud, EC2

ASA

Overview

Amazon EC2 is highly valued for its scalability, flexibility, and pay-as-you-go pricing model. It excels in quick deployment and integration with AWS services, helping businesses efficiently manage virtual machines with ease of scaling and resource management.

Designed for enterprises seeking efficient infrastructure management, Amazon EC2 provides diverse instance configurations and powerful security features like encryption and IAM roles. It allows dynamic resource adjustment and auto-scaling, ensuring stability and user-friendly control. While some users find pricing a concern, EC2 remains essential for deploying applications, server management, and migrating systems to the cloud. Enhancements in interfaces, pricing transparency, and integration are desired, yet it's widely used for automation, testing, and AI-driven projects.

What are the main features of Amazon EC2?

Scalability: Adjust resources as needed with auto-scaling capabilities.
Security: Offers encryption and IAM roles for secure operations.
Pay-as-you-go Model: Cost-effective pricing based on usage.
Quick Deployment: Fast provisioning of resources ensures rapid setup.
Integration with AWS: Seamless integration with AWS services enhances functionality.

What benefits should users look for in reviews?

Flexibility: EC2 adapts easily to changing business needs.
Stability: Reliable infrastructure for constant uptime.
Ease of Management: Simplified virtual machine oversight and handling.
Cost Efficiency: Pay-as-you-go leads to investment optimization.

In industries like finance, healthcare, and retail, Amazon EC2 enables scalable cloud infrastructure, supports ERP applications, and aids in data management with AWS integration. Companies use EC2 for deploying high-traffic web applications, leveraging containerization with Docker and Kubernetes, and enhancing automation in AI and big data projects.

Amazon Web Services (AWS)

Azure Stream Analytics offers real-time data processing with seamless IoT hub integration and user-friendly setup. It efficiently manages data streams and supports Azure services, SQL Server, and Cosmos DB.

Azure Stream Analytics specializes in real-time data analytics, easily integrating with Microsoft technologies. It enables swift deployment, monitoring, and high-performance data streaming. Though praised for its powerful SQL language and machine learning capabilities, users face challenges with historical analysis, pricing clarity, debugging, and data connection outside Azure. Limited real-time data joining, query customization, and complex data handling are noted alongside needs for improved technical support, job monitoring, and trial periods.

What are the key features of Azure Stream Analytics?

IoT Hub Integration: Seamless connection with IoT devices for efficient data stream management.
Real-Time Analytics: Capable of processing and analyzing vast data volumes instantly.
SQL-Based Language: Powerful language for simple and flexible query creation.
Azure Service Integration: Compatible with Azure Storage, SQL Server, Cosmos DB.
Interface: User-friendly setup and swift deployment for efficient monitoring.
Machine Learning: Enhanced capabilities support predictive and preventive data analysis.

What benefits or ROI should users consider?

High-Performance Streaming: Efficient throughput for real-time data applications.
Data Partitioning: Supports scalability and flexibility in processing large data sets.
Minimal Setup Requirements: Quick and easy deployment, reducing initial setup time.
Integration Ease: Compatibility with Microsoft technologies simplifies implementation.

Azure Stream Analytics is leveraged in industries for real-time IoT data processing, predictive analytics, and accident prevention in logistics. It supports telemetry data processing for applications like predictive maintenance and integrates with Power BI for enhanced data visualization, aligning with Azure's IoT infrastructure.

Microsoft

Sample Customers

Netflix, Expedia, TimeInc., Novaris, airbnb, Lamborghini

Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks

Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service. Updated: August 2026.

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