Amazon EC2 vs Azure Stream Analytics comparison

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Amazon Web Services (AWS) Logo
2,542 views|1,652 comparisons
98% willing to recommend
Microsoft Logo
9,766 views|8,235 comparisons
95% willing to recommend
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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.
To learn more, read our detailed Compute Service Report (Updated: May 2024).
771,170 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The scalability and elasticity are helpful.""The greatest benefit of Amazon EC2 is its versatility, including the diverse range of servers available and the ability to connect to various resources.""Configuration can be changed at any time and it's very scalable.""The product helps us with scalability. We also need not have data centers.""The product is easy and quick to set up.""I would recommend this solution to others who want to start using it.""The most valuable features are the scalability options, low maintenance, and options to upgrade. AWS support is also pretty good. The generation upgrade is pretty simple and standardized.""EC2 is secure and stable, and we have no complaints about it on AWS."

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"We find the query editor feature of this solution extremely valuable for our business.""I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect.""The life cycle, report management and crash management features are great.""Real-time analytics is the most valuable feature of this solution. I can send the collected data to Power BI in real time.""I like the IoT part. We have mostly used Azure Stream Analytics services for it""We use Azure Stream Analytics for simulation and internal activities.""It's scalable as a cloud product.""The solution's most valuable feature is its ability to create a query using SQ."

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Cons
"Amazon EC2 could improve the console view. The ability to see the console view directly would be helpful, similar to what VMware has. Additionally, when the system is rebooting we are able to see a screenshot of the UI, but it would be a lot better if we could interact directly with the console level.""The customization could be simplified.""The product needs to improve its cost management.""Lacks sufficient tools to help users minimize their costs.""Pricing-wise, it is a bit high.""Currently in the autoscaling process if we have multiple issues we are not able to connect some of the VPC through the SMS.""I would like to see improvement in the information available up-front for users around tailoring the package to their actual requirements. At present it can take time to work with the on demand instance until you are used to what features are right for the user.""Support doesn't share or give insights on OS-based issues. That needs to improve because if someone is buying an EC2 instance with the Windows server and SQL license, the client expects that there will be a minimum level of support."

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"Early in the process, we had some issues with stability.""Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure.""Easier scalability and more detailed job monitoring features would be helpful.""It is not complex, but it requires some development skills. When the data is sent from Azure Stream Analytics to Power BI, I don't have the access to modify the data. I can't customize or edit the data or do some queries. All queries need to be done in the Azure Stream Analytics.""Its features for event imports and architecture could be enhanced.""One area that could use improvement is the handling of data validation. Currently, there is a review process, but sometimes the validation fails even before the job is executed. This results in wasted time as we have to rerun the job to identify the failure.""The solution’s customer support could be improved.""The collection and analysis of historical data could be better."

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Pricing and Cost Advice
  • "Pricing appears to be cheap, however, it is extremely difficult in calculating what something will cost."
  • "It has helped to reduce costs with infrastructure."
  • "EC2 pricing is somewhat transparent, in that AWS provides pricing for all instance types. However, the number of pricing options can be confusing."
  • "For our usage, the cost is approximately $20,000 to $23,000 per month."
  • "There is a license required to use this solution and we pay on a monthly basis."
  • "The price is reasonable, but there is definitely an opportunity to lower it in instances which are of a higher configuration, because they have been typically used for the long term."
  • "Amazon EC2 has a pay-as-you-use cost model."
  • "The clients have found the billing of Amazon EC2 good, but the price could be less high. There is a monthly subscription to use the solution."
  • More Amazon EC2 Pricing and Cost Advice →

  • "The cost of this solution is less than competitors such as Amazon or Google Cloud."
  • "We pay approximately $500,000 a year. It's approximately $10,000 a year per license."
  • "I rate the price of Azure Stream Analytics a four out of five."
  • "The licensing for this product is payable on a 'pay as you go' basis. This means that the cost is only based on data volume, and the frequency that the solution is used."
  • "There are different tiers based on retention policies. There are four tiers. The pricing varies based on steaming units and tiers. The standard pricing is $10/hour."
  • "The current price is substantial."
  • "Azure Stream Analytics is a little bit expensive."
  • "The product's price is at par with the other solutions provided by the other cloud service providers in the market."
  • More Azure Stream Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Amazon EC2 is really reliable and provides great flexibility.
    Top Answer:The solution has different pricing models, and its cost differs when you purchase it for one year or three years.
    Top Answer:The solution’s pricing and downtimes could be improved. I would like to have a better pricing model for Amazon EC2 instances because it comes with different pricing models. The solution's cost differs… more »
    Top Answer: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… more »
    Top Answer:The product's price is at par with the other solutions provided by the other cloud service providers in the market.
    Top Answer:Azure Stream Analytics was not meeting our company's expectations because it was tedious to change the job, write queries, or if I needed to change something, I needed to stop the entire stream… more »
    Ranking
    3rd
    out of 16 in Compute Service
    Views
    2,542
    Comparisons
    1,652
    Reviews
    42
    Average Words per Review
    341
    Rating
    8.6
    3rd
    out of 38 in Streaming Analytics
    Views
    9,766
    Comparisons
    8,235
    Reviews
    14
    Average Words per Review
    430
    Rating
    8.2
    Comparisons
    Also Known As
    Amazon Elastic Compute Cloud, EC2
    ASA
    Learn More
    Overview

    Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.

    Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. Amazon EC2 provides developers the tools to build failure resilient applications and isolate them from common failure scenarios.

    Azure Stream Analytics is a robust real-time analytics service that has been designed for critical business workloads. Users are able to build an end-to-end serverless streaming pipeline in minutes. Utilizing SQL, users are able to go from zero to production with a few clicks, all easily extensible with unique code and automatic machine learning abilities for the most advanced scenarios.

    Azure Stream Analytics has the ability to analyze and accurately process exorbitant volumes of high-speed streaming data from numerous sources at the same time. Patterns and scenarios are quickly identified and information is gathered from various input sources, such as social media feeds, applications, clickstreams, sensors, and devices. These patterns can then be implemented to trigger actions and launch workflows, such as feeding data to a reporting tool, storing data for later use, or creating alerts. Azure Stream Analytics is also offered on Azure IoT Edge runtime, so the data can be processed on IoT devices.

    Top Benefits

    • User friendly: Azure Stream Analytics is very straightforward and easy to use. Out of the box and with a few clicks, users are able to connect to numerous sources and sinks, and easily develop an end-to-end pipeline. Stream Analytics can easily connect to Azure IoT Hub and Azure Event Hub for streaming ingestion, in addition to connecting with Azure Blob storage for historical data ingestion.

    • Flexible deployment: For low-latency analytics, Azure Stream Analytics can run on Azure Stack or IoT edge. For large-scale analytics, the solution can run in the cloud. Azure Stream Analytics uses the same query language and tools for both the cloud and the edge, facilitating an easier process for developers to design exceptional hybrid architectures for streaming processes.

    • Cost-effective: With Azure Stream Analytics, users only pay for the streaming units they consume; there are no upfront costs. Users can easily scale up or down as needed; there is no commitment or cluster provisioning.

    • Trustworthy: Azure Stream Analytics guarantees event processing to be 99.99% available with a minute level of granularity. Azure Stream Analytics has embedded recovery capabilities and checkpoints to keep things running smoothly at all times. Events are never lost with Azure Stream Analytics at-least once delivery of events and exactly one event processing.

    Reviews from Real Users

    “Azure Stream Analytics is something that you can use to test out streaming scenarios very quickly in the general sense and it is useful for IoT scenarios. If I was to do a project with IoT and I needed a streaming solution, Azure Stream Analytics would be a top choice. The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex.” - Olubisi A., Team Lead at a tech services company.

    “It's used primarily for data and mining - everything from the telemetry data side of things. It's great for streaming and makes everything easy to handle. The streaming from the IoT hub and the messaging are aspects I like a lot.” - Sudhendra U., Technical Architect at Infosys

    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
    Top Industries
    REVIEWERS
    Computer Software Company29%
    Financial Services Firm14%
    Comms Service Provider11%
    Government7%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company17%
    University7%
    Educational Organization6%
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Government9%
    Media Company9%
    VISITORS READING REVIEWS
    Computer Software Company15%
    Financial Services Firm12%
    Manufacturing Company8%
    Retailer5%
    Company Size
    REVIEWERS
    Small Business43%
    Midsize Enterprise20%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise12%
    Large Enterprise68%
    REVIEWERS
    Small Business27%
    Midsize Enterprise9%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise11%
    Large Enterprise69%
    Buyer's Guide
    Compute Service
    May 2024
    Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service. Updated: May 2024.
    771,170 professionals have used our research since 2012.

    Amazon EC2 is ranked 3rd in Compute Service with 60 reviews while Azure Stream Analytics is ranked 3rd in Streaming Analytics with 22 reviews. Amazon EC2 is rated 8.6, while Azure Stream Analytics is rated 8.2. The top reviewer of Amazon EC2 writes "Easy to scale and valuable features include the security group and key management". On the other hand, the top reviewer of Azure Stream Analytics writes "Easy to set up and user-friendly, but could be priced better". Amazon EC2 is most compared with AWS Fargate, Apache Spark, AWS Lambda, AWS Batch and Apache NiFi, whereas Azure Stream Analytics is most compared with Amazon Kinesis, Databricks, Amazon MSK, Apache Flink and Apache Spark.

    We monitor all Compute Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.