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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon Kinesis

    Score10 out of 10
    N/AAmazon Kinesis is a streaming analytics suite for data intake from video or other disparate sources and applying analytics for machine learning (ML) and business intelligence.

    $0.01

    per GB data ingested / consumed

    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
    Amazon KinesisIBM Confluent
    Editions & Modules
    Amazon Kinesis Video Streams
    $0.00850
    per GB data ingested / consumed
    Amazon Kinesis Data Streams
    $0.04
    per hour per stream
    Amazon Kinesis Data Analytics
    $0.11
    per hour
    Amazon Kinesis Data Firehose
    tiered pricing starting at $0.029
    per month first 500 TB ingested
    Basic
    $0
    Standard
    Starting at ~$385
    per month
    Enterprise
    Starting at ~$1,150
    per month
    Offerings
    Pricing Offerings
    Amazon KinesisIBM Confluent
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Confluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/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
    Amazon KinesisIBM Confluent
    Considered Both Products
    Amazon AWS
    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
    Amazon KinesisIBM Confluent
    Streaming Analytics
    Comparison of Streaming Analytics features of Amazon Kinesis and IBM Confluent
    Feature
    Amazon Kinesis
    8.3
    2 Ratings
    6% above category average
    IBM Confluent
    -
    Ratings
    Real-Time Data Analysis10.01 Ratings00 Ratings
    Data Ingestion from Multiple Data Sources9.02 Ratings00 Ratings
    Low Latency9.02 Ratings00 Ratings
    Integrated Development Tools9.02 Ratings00 Ratings
    Data wrangling and preparation10.01 Ratings00 Ratings
    Linear Scale-Out6.12 Ratings00 Ratings
    Data Enrichment5.01 Ratings00 Ratings
    Best Alternatives
    Amazon KinesisIBM Confluent
    Small Businesses
    Google Cloud Dataflow
    Score9.1 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
    Amazon KinesisIBM Confluent
    Likelihood to Recommend
    9.0
    (3 ratings)
    7.6
    (18 ratings)
    Usability
    -
    (0 ratings)
    7.4
    (16 ratings)
    Support Rating
    7.1
    (2 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Amazon KinesisIBM Confluent
    Likelihood to Recommend
    Amazon AWS
    Amazon Kinesis is a great replacement for Kafka and it works better whenever the components of the solution are AWS based. Best if extended fan-out is not required, but still price-performance ratio is very good for simplifying maintenance.
    I would go with a different option if the systems to be connected are legacy, for instance in the case of traditional messaging clients.
    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
    Amazon AWS
    • Processing huge loads of data
    • Integrating well with IoT Platform on Amazon
    • Integration with overall AWS Ecosystem
    • Scalability
    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
    Amazon AWS
    • Not a queue system, so little visibility into "backlog" if there is any
    • Confusing terminology to make sure events aren't missed
    • Sometimes didn't seem to trigger Lambda functions, or dropped events when a lot came in
    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
    Amazon AWS
    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
    Amazon AWS
    The documentation was confusing and lacked examples. The streams suddenly stopped working with no explanation and there was no information in the logs. All these were more difficult when dealing with enhanced fan-out. In fact, we were about to abort the usage of Kinesis due to a misunderstanding with enhanced fan-out.
    Incentivized
    Read full review
    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
    Amazon AWS
    The main benefit was around set up - incredibly easy to just start using Kinesis. Kinesis is a real-time data processing platform, while Kafka is more of a message queue system. If you only need a message queue from a limited source, Kafka may do the job. More complex use cases, with low latency, higher volume of data, real time decisions and integration with multiple sources and destination at a decent price, Kinesis is better.
    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
    Amazon AWS
    • Caused us to need to re-engineer some basic re-try logic
    • Caused us to drop some content without knowing it
    • Made monitoring much more difficult
    • We eventually switched back to SQS because Kinesis is not the same as a Queue system
    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
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