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Amazon MSK vs Azure Stream Analytics comparison

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Featured Review
Use Amazon MSK?
Alwin George Daniel
Effective Blob storage and the IoT hub save us a lot of time, and the support is helpful
This gives us a real-time monitoring system that we can use to analyze the health of our IoT devices. Previously, when something was not working... Read more →
Buyer's Guide
Streaming Analytics
July 2022
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Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"MSK has a private network that's an out-of-box feature."

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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 most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex.""It's a product that can scale.""The most valuable features are the IoT hub and the Blob storage.""The solution has a lot of functionality that can be pushed out to companies.""Real-time analytics is the most valuable feature of this solution. I can send the collected data to Power BI in real time.""Technical support is pretty helpful.""I like the IoT part. We have mostly used Azure Stream Analytics services for it"

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Cons
"It should be more flexible, integration-wise."

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"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.""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.""The solution offers a free trial, however, it is too short.""The collection and analysis of historical data could be better.""Early in the process, we had some issues with stability.""The UI should be a little bit better from a usability perspective.""There may be some issues when connecting with Microsoft Power BI because we are providing the input and output commands, and there's a chance of it being delayed while connecting.""If something goes wrong, it's very hard to investigate what caused it and why."

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Pricing and Cost Advice
Information Not Available
  • "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."

    • More Azure Stream Analytics Pricing and Cost Advice →

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    Questions from the Community
    What do you like most about Amazon MSK?
    Top Answer:MSK has a private network that's an out-of-box feature.
    What needs improvement with Amazon MSK?
    Top Answer:MSK should be easier to integrate with other solutions. It should be more flexible, integration-wise. MSK has a private network that's an out-of-the-box feature. For our case, we needed something… more »
    What is your primary use case for Amazon MSK?
    Top Answer:Behind the scenes, we use Kafka. We tried using MSK to collect old data surrounding inventory from e-commerce websites, for example.
    Which would you choose - Databricks or Azure Stream Analytics?
    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 »
    What is your experience regarding pricing and costs for Azure Stream Anal...
    Top Answer:We find the pricing to be a little bit higher side. If that could become a bit more competitive with, for example, AWS or something, that would be great. We pay approximately $500,000 a year. It's… more »
    Read all 5 answers   →
    What needs improvement with Azure Stream Analytics?
    Top Answer:I haven't come across missing items. It does what I need it to do. The pricing is a little bit high. The UI should be a little bit better from a usability perspective. The endpoint, if you are… more »
    Read all 8 answers   →
    Ranking
    8th
    out of 38 in Streaming Analytics
    Views
    6,998
    Comparisons
    6,043
    Reviews
    1
    Average Words per Review
    410
    Rating
    8.0
    3rd
    out of 38 in Streaming Analytics
    Views
    9,982
    Comparisons
    8,403
    Reviews
    9
    Average Words per Review
    736
    Rating
    8.0
    Comparisons
    Also Known As
    Amazon Managed Streaming for Apache Kafka
    ASA
    Learn More
    Amazon
    Microsoft
    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

    Offer
    Learn more about Amazon MSK
    Learn More
    Learn more about Azure Stream Analytics
    Learn More
    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
    Computer Software Company24%
    Comms Service Provider16%
    Media Company11%
    Financial Services Firm11%
    VISITORS READING REVIEWS
    Computer Software Company22%
    Comms Service Provider20%
    Financial Services Firm7%
    Energy/Utilities Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise72%
    REVIEWERS
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise14%
    Large Enterprise69%
    Buyer's Guide
    Streaming Analytics
    July 2022
    Download Free Report
    Find out what your peers are saying about Databricks, Amazon, Microsoft and others in Streaming Analytics. Updated: July 2022.
    DOWNLOAD NOW
    620,600 professionals have used our research since 2012.

    Amazon MSK is ranked 8th in Streaming Analytics with 1 review while Azure Stream Analytics is ranked 3rd in Streaming Analytics with 9 reviews. Amazon MSK is rated 8.0, while Azure Stream Analytics is rated 8.0. The top reviewer of Amazon MSK writes "Allows you to build and run applications easily". On the other hand, the top reviewer of Azure Stream Analytics writes "A serverless scalable event processing engine with a valuable IoT feature". Amazon MSK is most compared with Confluent, Amazon Kinesis, Google Cloud Dataflow, Databricks and Cloudera DataFlow, whereas Azure Stream Analytics is most compared with Databricks, Amazon Kinesis, Apache Flink, Apache Spark and Apache NiFi.

    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.