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Azure Stream Analytics vs Oracle Compute Cloud Service 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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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."
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    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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    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

    Oracle Compute Cloud Service is an infrastructure as a service (IaaS) offering that provides flexible and scalable computing, block storage, and networking services on Oracle Cloud. You can now set up and manage your computing and storage workloads in the cloud, on demand, using a self-service portal. You'll significantly reduce your computing costs and increase your business efficiency and agility. Use Oracle Compute Cloud Service to migrate your on-premises workloads to the cloud and reap the many cloud benefits.

    Learn more about Azure Stream Analytics
    Learn more about Oracle Compute Cloud Service
    Sample Customers
    Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
    LogOn Consulting, Molecular Dynamics
    Top Industries
    Computer Software Company24%
    Comms Service Provider20%
    Financial Services Firm7%
    Energy/Utilities Company7%
    Computer Software Company43%
    Comms Service Provider17%
    Manufacturing Company6%
    Company Size
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    Small Business18%
    Midsize Enterprise14%
    Large Enterprise68%
    Small Business12%
    Midsize Enterprise16%
    Large Enterprise72%
    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.
    611,060 professionals have used our research since 2012.

    Azure Stream Analytics is ranked 4th in Streaming Analytics with 9 reviews while Oracle Compute Cloud Service is ranked 12th in Compute Service. Azure Stream Analytics is rated 8.0, while Oracle Compute Cloud Service is rated 0.0. The top reviewer of Azure Stream Analytics writes "A serverless scalable event processing engine with a valuable IoT feature". On the other hand, Azure Stream Analytics is most compared with Databricks, Amazon Kinesis, Apache Flink, Apache Spark and Apache Spark Streaming, whereas Oracle Compute Cloud Service is most compared with AWS Lambda, AWS Fargate, AWS Batch, Apache NiFi and Apache Spark.

    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.