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Confluent vs IBM Streams comparison

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Confluent Logo
8,146 views|7,516 comparisons
IBM Streams Logo
1,992 views|1,799 comparisons
Featured Review
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: January 2022.
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Pricing and Cost Advice
  • "Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
  • "You have to pay additional for one or two features."
  • More Confluent Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: 
    A person with a good IT background and HTML will not have any trouble with Confluent.
    Top Answer: 
    I don't directly handle the licensing. My license is given to me. Therefore, I don't know the terms of the licensing or the exact costs.
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    The beginner who doesn't know how to work on HTML will struggle as when you create spaces in the Confluent, if you want to have some meeting notes or anything else, you need to know HTML and which… more »
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    Earn 20 points

    Ranking
    6th
    out of 38 in Streaming Analytics
    Views
    8,146
    Comparisons
    7,516
    Reviews
    5
    Average Words per Review
    628
    Rating
    8.4
    12th
    out of 38 in Streaming Analytics
    Views
    1,992
    Comparisons
    1,799
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    IBM InfoSphere Streams
    Learn More
    Overview

    Confluent Platform is the complete streaming platform for large-scale distributed environments. Unlike a traditional messaging system or stream processing API, Confluent Enterprise enables all of your interfaces to the world to be connected to and make decisions with all of your internal systems in real time.

    Confluent and partner vendors offer tested and secure connectors for many popular data systems. Connectors make it quick and easy to start setting up reliable data pipelines.

    Our connectors are all fully integrated with the platform, namely the schema registry.

    IBM Streams is an advanced analytic platform that allows user-developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of data stream sources. The solution can handle very high data throughput rates, up to millions of events or messages per second. Streams helps you analyze data in motion, simplify development of streaming applications, and extend the value of existing systems.
    Offer
    Learn more about Confluent
    Learn more about IBM Streams
    Sample Customers
    ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
    Globo TV, All England Lawn Tennis Club, CenterPoint Energy, Consolidated Communications Holdings, Darwin Ecosystem, Emory University Hospital, ICICI Securities, Irish Centre for Fetal and Neonatal Translational Research (INFANT), Living Roads, Mobileum, Optibus, Southern Ontario Smart Computing Innovation Platform (SOSCIP), University of Alberta, University of Montana, University of Ontario Institute of Technology, Wimbledon 2015
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company27%
    Comms Service Provider17%
    Financial Services Firm11%
    Media Company10%
    VISITORS READING REVIEWS
    Computer Software Company27%
    Comms Service Provider15%
    Financial Services Firm13%
    Manufacturing Company7%
    Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: January 2022.
    565,689 professionals have used our research since 2012.

    Confluent is ranked 6th in Streaming Analytics with 6 reviews while IBM Streams is ranked 12th in Streaming Analytics. Confluent is rated 8.2, while IBM Streams is rated 0.0. The top reviewer of Confluent writes "All portfolios have access to the data that is being shared but there is a gap on the security side". On the other hand, Confluent is most compared with Amazon MSK, Amazon Kinesis, AWS Glue, Lenses.io and Cloudera DataFlow, whereas IBM Streams is most compared with Apache NiFi, Google Cloud Dataflow, Azure Stream Analytics, Apache Spark and Amazon Kinesis.

    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.