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Azure Stream Analytics vs Google Cloud Dataflow comparison

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Streaming Analytics
June 2022
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: June 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:
"Provides deep integration with other Azure resources.""The most valuable features are the IoT hub and the Blob storage.""I like the IoT part. We have mostly used Azure Stream Analytics services for it""It's a product that can scale.""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 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.""The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex."

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"The most valuable features of Google Cloud Dataflow are the integration, it's very simple if you have the complete stack, which we are using. It is overall very easy to use, user-friendly friendly, and cost-effective if you know how to use it. The solution is very flexible for programmers, if you know how to do scripts or program in Python or any other language, it's extremely easy to use."

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"The UI should be a little bit better from a usability perspective.""Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure.""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.""Early in the process, we had some issues with stability.""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.""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.""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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"Google Cloud Data Flow can improve by having full simple integration with Kafka topics. It's not that complicated, but it could improve a bit. The UI is easy to use but the experience could be better. There are other tools available that do a better job."

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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."
  • More Azure Stream Analytics Pricing and Cost Advice →

  • "The price of the solution depends on many factors, such as how they pay for tools in the company and its size."
  • More Google Cloud Dataflow Pricing and Cost Advice →

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    609,272 professionals have used our research since 2012.
    Questions from the Community
    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: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 »
    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 »
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    Also Known As
    Google Dataflow
    Learn More
    AzureStream Analytics is a fully managed event-processing engine that lets you set up real-time analytic computations on streaming data.The data can come from devices, sensors, web sites, social media feeds, applications, infrastructure systems, and more.
    Google Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.
    Learn more about Azure Stream Analytics
    Learn more about Google Cloud Dataflow
    Sample Customers
    Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
    Absolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale
    Top Industries
    Computer Software Company24%
    Comms Service Provider20%
    Financial Services Firm7%
    Energy/Utilities Company7%
    Comms Service Provider20%
    Computer Software Company19%
    Financial Services Firm11%
    Company Size
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    Small Business18%
    Midsize Enterprise14%
    Large Enterprise69%
    Small Business15%
    Midsize Enterprise15%
    Large Enterprise70%
    Buyer's Guide
    Streaming Analytics
    June 2022
    Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: June 2022.
    609,272 professionals have used our research since 2012.

    Azure Stream Analytics is ranked 5th in Streaming Analytics with 9 reviews while Google Cloud Dataflow is ranked 11th in Streaming Analytics with 1 review. Azure Stream Analytics is rated 8.0, while Google Cloud Dataflow is rated 8.0. The top reviewer of Azure Stream Analytics writes "A serverless scalable event processing engine with a valuable IoT feature". On the other hand, the top reviewer of Google Cloud Dataflow writes "Easy to use for programmers, user-friendly, and scalable". Azure Stream Analytics is most compared with Databricks, Amazon Kinesis, Apache Spark, Apache Flink and Confluent, whereas Google Cloud Dataflow is most compared with Apache NiFi, Apache Flink, Amazon Kinesis, Databricks and IBM Streams.

    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.