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Aiven for Apache Kafka vs Azure Stream Analytics comparison

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Aiven for Apache Kafka

1,820 views|996 comparisons
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Azure Stream Analytics

Read 22 Azure Stream Analytics reviews
9,925 views|8,426 comparisons
95% willing to recommend
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Buyer's Guide
Streaming Analytics
April 2024
Executive Summary

We performed a comparison between Aiven for Apache Kafka and Azure Stream Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: April 2024).
Download the complete report
768,246 professionals have used our research since 2012.
Featured Review
Use Aiven for Apache Kafka?
Sachin Shukre
Helpful data visualization capabilities but lacks detailed job monitoring features
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
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."
  • "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
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    Earn 20 points

    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:The product's price is at par with the other solutions provided by the other cloud service providers in the market.
    Read all 10 answers   →
    What needs improvement with Azure Stream Analytics?
    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 »
    Read all 15 answers   →
    Ranking
    18th
    out of 38 in Streaming Analytics
    Views
    1,820
    Comparisons
    996
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    4th
    out of 38 in Streaming Analytics
    Views
    9,925
    Comparisons
    8,426
    Reviews
    13
    Average Words per Review
    405
    Rating
    8.2
    Comparisons
    Also Known As
    ASA
    Learn More
    Aiven
    Microsoft
    Overview

    Aiven provides managed open source data technologies on all major clouds.

    Through Aiven, developers can do what they do best: create applications. Meanwhile, we do what we do best; manage cloud data infrastructure. We enable customers to drive business results from open source that trigger true transformations far beyond their own backyard.

    Currently, we offer Apache Kafka, Apache Cassandra, PostgreSQL, MySQL, Elasticsearch, Redis, InfluxDB, Grafana, and M3 in more than 80 regions around the world on AWS, GCP, Microsoft Azure, DigitalOcean, and UpCloud cloud platforms.

    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
    Information Not Available
    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 Company22%
    Financial Services Firm13%
    Government7%
    Comms Service Provider6%
    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 Business21%
    Midsize Enterprise12%
    Large Enterprise67%
    REVIEWERS
    Small Business24%
    Midsize Enterprise10%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise11%
    Large Enterprise69%
    Buyer's Guide
    Streaming Analytics
    April 2024
    Download Free Report
    Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: April 2024.
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    768,246 professionals have used our research since 2012.

    Aiven for Apache Kafka is ranked 18th in Streaming Analytics while Azure Stream Analytics is ranked 4th in Streaming Analytics with 22 reviews. Aiven for Apache Kafka is rated 0.0, while Azure Stream Analytics is rated 8.2. On the other hand, the top reviewer of Azure Stream Analytics writes "Easy to set up and user-friendly, but could be priced better". Aiven for Apache Kafka is most compared with Confluent, Amazon MSK, Instaclustr Managed Apache Kafka, Spring Cloud Data Flow and Apache Pulsar, whereas Azure Stream Analytics is most compared with Amazon Kinesis, Databricks, Amazon MSK, Apache Flink and Apache Spark.

    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.