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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Azure Stream Analytics

    Score8 out of 10
    N/AMicrosoft offers Azure Stream Analytics for IoT and connected devices, supporting real-time analytics and reporting.

    $0.11

    per hour with a 1 SU minimum

    IBM Confluent

    Score8.6 out of 10
    N/AIBM Confluent helps enterprises stream, connect, process, govern and serve real-time data across hybrid environments.

    $385

    per month

    Pricing
    Azure Stream AnalyticsIBM Confluent
    Editions & Modules
    Standard
    $0.11
    per hour with a 1 SU minimum
    Dedicated
    $0.11
    per hour with a 36 SU minimum
    Basic
    $0
    Standard
    Starting at ~$385
    per month
    Enterprise
    Starting at ~$1,150
    per month
    Offerings
    Pricing Offerings
    Azure Stream AnalyticsIBM Confluent
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsAzure Stream Analytics is priced by the number of Streaming Units provisioned. A Streaming Unit represents the amount of memory and compute allocated to your resources.Confluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/hour), networking ($/GB), and storage ($/GB-hour). Connect: Use of connectors is billed based on throughput ($/GB) and a task base price ($/task/hour). Process: Use of stream processing with Confluent Cloud for Apache Flink is calculated based on CFUs ($/minute). Govern: Use of Stream Governance is billed based on environment ($/hour). Confluent storage and throughput is calculated in binary gigabytes (GB), where 1 GB is 2^30 bytes. This unit of measurement is also known as a gibibyte (GiB). Please also note that all prices are stated in United States Dollars unless specifically stated otherwise. All billing computations are conducted in Coordinated Universal Time (UTC).
    More Pricing Information
    Community Pulse
    Azure Stream AnalyticsIBM Confluent
    Considered Both Products
    Microsoft
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    94%
    Would buy again
    17 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    14 Answers
    Happy with the feature set
    No answers on this topic
    94%
    Happy with the feature set
    17 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    86%
    Lived up to sales and marketing promises
    12 Answers
    Implementation went as expected
    No answers on this topic
    88%
    Implementation went as expected
    15 Answers
    Features
    Azure Stream AnalyticsIBM Confluent
    Streaming Analytics
    Comparison of Streaming Analytics features of Azure Stream Analytics and IBM Confluent
    Feature
    Azure Stream Analytics
    6.1
    1 Ratings
    25% below category average
    IBM Confluent
    -
    Ratings
    Real-Time Data Analysis7.01 Ratings00 Ratings
    Data Ingestion from Multiple Data Sources7.01 Ratings00 Ratings
    Low Latency8.01 Ratings00 Ratings
    Integrated Development Tools2.01 Ratings00 Ratings
    Data wrangling and preparation7.01 Ratings00 Ratings
    Linear Scale-Out5.01 Ratings00 Ratings
    Data Enrichment7.01 Ratings00 Ratings
    Best Alternatives
    Azure Stream AnalyticsIBM Confluent
    Small Businesses
    Amazon Kinesis
    Score10 out of 10
    Amazon SNS
    Score8.8 out of 10
    Medium-sized Companies
    No answers on this topic
    Amazon SNS
    Score8.8 out of 10
    Enterprises
    TIBCO Streaming
    Score5 out of 10
    Google Cloud Pub/Sub
    Score8.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Azure Stream AnalyticsIBM Confluent
    Likelihood to Recommend
    7.0
    (1 ratings)
    7.6
    (18 ratings)
    Usability
    -
    (0 ratings)
    7.4
    (16 ratings)
    Support Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Azure Stream AnalyticsIBM Confluent
    Likelihood to Recommend
    Microsoft
    Data enrichment is effectively done in stream analytics also checking the values with different functionality like windowing and group by clause is effectively working.
    Incentivized
    Read full review
    IBM
    Very reliable product and help with streaming messages without fail which is a significant confidence booster as an SRE leader. Would recommend the product considering the fact that now it is backed by IBM in addition to all IBM Confluent was doing well before the acquisition. Has been a game changer for our organization
    Incentivized
    Read full review
    Pros
    Microsoft
    • Routing of data from multiple inputs to multiple output
    • You create your own user define function.
    • Intermediate query is working very effectively.
    Incentivized
    Read full review
    IBM
    • It works really well in providing data context for our customers.
    • It is helpful in real time data streaming.
    • It is really wonderful tool for doing data validations and massaging the data.
    Incentivized
    Read full review
    Cons
    Microsoft
    • Code competency is not that much effective
    • Ml models can't be integrated with stream analytics
    Incentivized
    Read full review
    IBM
    • Iit needs to improve in AI agents usage.
    • It needs to be more user friendly.
    • It is too complicated for beginners.
    Incentivized
    Read full review
    Usability
    Microsoft
    No answers on this topic
    IBM
    Kafka and Schema Registry are the rock solid fully managed offerings from IBM Confluent Cloud. Other than that the rest of the offerings do not work as expected.
    Incentivized
    Read full review
    Support Rating
    Microsoft
    No answers on this topic
    IBM
    The support from the Confluent platform is great and satisfying. We have been working with Confluent for more than a year now. They sent out resident architects to help us set up Confluent cluster on our cloud and help us troubleshoot problems we have encountered. Overall, it has been a great experience working with the Confluent Platform.
    Incentivized
    Read full review
    Alternatives Considered
    Microsoft
    Azure Stream Analytics is easy to implement and also to integrate compare to other services like iot analytics
    Incentivized
    Read full review
    IBM
    For our use case it was very important that the technology we were working with fit into our Azure architecture, and met our data processing size requirements to stream data within certain SLAs. Confluent more than met our performance requirements and compared to the others scale options and cost to run it was more than financially viable as a platform solution to our global operations.
    Incentivized
    Read full review
    Return on Investment
    Microsoft
    • Very nice roi while using it.
    • Multiple integration is the best functionality
    Incentivized
    Read full review
    IBM
    • IBM Confluent helps us get data moving from system to system at near real time.
    • IBM Confluent makes pushing data into a data lake easy - analytics, targeted deals, etc
    • The RBAC and ACL setup helps us govern and secure our data, even between teams/applications.
    Incentivized
    Read full review
    ScreenShots