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
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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: April 2024).
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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 most important aspects are that the solution is scalable and easy to manage.""The most valuable feature of Amazon EC2 is its ability to spin a new virtual machine in a few seconds.""Configuration can be changed at any time and it's very scalable.""Amazon EC2 is really reliable and provides great flexibility.""We find it easy to scale.""The greatest benefit of Amazon EC2 is its versatility, including the diverse range of servers available and the ability to connect to various resources.""The product is easy to set up.""EC2 is flexible when we need to increase its resources (memory, boosting, and storage) based on our usage. That is the power of EC2."

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"I like the way the UI looks, and the real-time analytics service is aligned to this. That can be helpful if I have to use this on a production service.""The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics.""I appreciate this solution because it leverages open-source technologies. It allows us to utilize the latest streaming solutions and it's easy to develop.""It's a product that can scale.""I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect.""The most valuable features are the IoT hub and the Blob storage.""Real-time analytics is the most valuable feature of this solution. I can send the collected data to Power BI in real time.""We use Azure Stream Analytics for simulation and internal activities."

More Azure Stream Analytics Pros →

Cons
"EC2 could be improved with easier migration.""The initial deployment was complex.""The only issue with EC2 is that it makes it difficult to install an LLS certificate on your WordPress website that you have deployed inside that virtual machine. That becomes complicated.""I would like to see as much automation for data validation as possible in the future.""An area for improvement in Amazon EC2 is the cost because it's a bit higher than competitor pricing.""The monitoring part could be improved. When we're building and configuring things or doing database replication, EC2's monitoring could provide more information. It's hard to find the information I need in the graphs they provide.""The product needs to improve its cost management.""It's not the best of the best because we still have issues with downtime. We still have issues with the cost of storage, with all these different instance styles, and how much it costs. They cost an arm and a leg the higher you go."

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"The solution doesn't handle large data packets very efficiently, which could be improved upon.""Early in the process, we had some issues with stability.""If something goes wrong, it's very hard to investigate what caused it and why.""We would like to have centralized platform altogether since we have different kind of options for data ingestion. Sometimes it gets difficult to manage different platforms.""The UI should be a little bit better from a usability perspective.""I would like to have a contact individual at Microsoft.""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."

More Azure Stream Analytics Cons →

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%
    Educational Organization6%
    Manufacturing Company6%
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Government9%
    Media Company9%
    VISITORS READING REVIEWS
    Computer Software Company15%
    Financial Services Firm12%
    Manufacturing Company8%
    Comms Service Provider5%
    Company Size
    REVIEWERS
    Small Business43%
    Midsize Enterprise20%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise12%
    Large Enterprise68%
    REVIEWERS
    Small Business24%
    Midsize Enterprise10%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise11%
    Large Enterprise69%
    Buyer's Guide
    Compute Service
    April 2024
    Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service. Updated: April 2024.
    769,789 professionals have used our research since 2012.

    Amazon EC2 is ranked 3rd in Compute Service with 58 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.