Amazon MSK vs Azure Stream Analytics comparison

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Executive Summary

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

Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Amazon MSK vs. Azure Stream Analytics Report (Updated: March 2024).
765,234 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
"Overall, it is very cost-effective based on the workflow.""The most valuable feature of Amazon MSK is the integration.""It is a stable product.""It offers good stability.""Amazon MSK has significantly improved our organization by building seamless integration between systems.""MSK has a private network that's an out-of-box feature."

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"The solution's most valuable feature is its ability to create a query using SQ.""We find the query editor feature of this solution extremely valuable for our business.""It's scalable as a cloud product.""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.""I like the IoT part. We have mostly used Azure Stream Analytics services for it""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."

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Cons
"It would be really helpful if Amazon MSK could provide a single installation that covers all the servers.""Amazon MSK could improve on the features they offer. They are still lagging behind Confluence.""The configuration seems a little complex and the documentation on the product is not available.""The product's schema support needs enhancement. It will help enhance integration with many kinds of languages of programming languages, especially for environments using languages like .NET.""It should be more flexible, integration-wise.""It does not autoscale. Because if you do keep it manually when you add a note to the cluster and then you register it, then it is scalable, but the fact that you have to go and do it, I think, makes it, again, a bit of some operational overhead when managing the cluster."

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"The solution doesn't handle large data packets very efficiently, which could be improved upon.""The collection and analysis of historical data could be better.""If something goes wrong, it's very hard to investigate what caused it and why.""The solution's interface could be simpler to understand for non-technical people.""Early in the process, we had some issues with stability.""The only challenge was that the streaming analytics area in Azure Stream Analytics could not meet our company's expectations, making it a component where improvements are required.""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.""Azure Stream Analytics could improve by having clearer metrics as to the scale, more metrics around the data set size that is flowing through it, and performance tuning recommendations."

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Pricing and Cost Advice
  • "The price of Amazon MSK is less than some competitor solutions, such as Confluence."
  • "The platform has better pricing than one of its competitors."
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  • "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 MSK has significantly improved our organization by building seamless integration between systems.
    Top Answer:The product's schema support needs enhancement. It will help enhance integration with many kinds of languages of programming languages, especially for environments using languages like .NET. They… more »
    Top Answer:We use the software to facilitate building integrations between systems.
    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:Customers need to pay for a license. However, we have a three-year upfront licensing arrangement, which helps to keep the costs relatively low.
    Top Answer:Easier scalability and more detailed job monitoring features would be helpful. Another room for improvement is the ingestion of data.
    Ranking
    6th
    out of 38 in Streaming Analytics
    Views
    8,163
    Comparisons
    6,453
    Reviews
    5
    Average Words per Review
    427
    Rating
    7.0
    4th
    out of 38 in Streaming Analytics
    Views
    10,297
    Comparisons
    8,660
    Reviews
    12
    Average Words per Review
    379
    Rating
    8.3
    Comparisons
    Also Known As
    Amazon Managed Streaming for Apache Kafka
    ASA
    Learn More
    Overview

    Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that enables you to build and run applications that use Apache Kafka to process streaming data. Amazon MSK provides the control-plane operations, such as those for creating, updating, and deleting clusters.

    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
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company18%
    Manufacturing Company8%
    Retailer5%
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Insurance Company9%
    Government9%
    VISITORS READING REVIEWS
    Computer Software Company15%
    Financial Services Firm12%
    Manufacturing Company8%
    Comms Service Provider5%
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise69%
    REVIEWERS
    Small Business24%
    Midsize Enterprise10%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise11%
    Large Enterprise69%
    Buyer's Guide
    Amazon MSK vs. Azure Stream Analytics
    March 2024
    Find out what your peers are saying about Amazon MSK vs. Azure Stream Analytics and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Amazon MSK is ranked 6th in Streaming Analytics with 6 reviews while Azure Stream Analytics is ranked 4th in Streaming Analytics with 21 reviews. Amazon MSK is rated 7.2, while Azure Stream Analytics is rated 8.0. The top reviewer of Amazon MSK writes "Efficient real-time transaction tracking but time-consuming installation". 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 MSK is most compared with Confluent, Amazon Kinesis, Google Cloud Dataflow, Aiven for Apache Kafka and Apache Pulsar, whereas Azure Stream Analytics is most compared with Amazon Kinesis, Databricks, Apache Flink, Apache Spark and Apache Spark Streaming. See our Amazon MSK vs. Azure Stream Analytics report.

    See our list of best Streaming Analytics vendors.

    We monitor all Streaming Analytics 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.