Amazon Kinesis vs IBM Streams comparison

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Amazon Web Services (AWS) Logo
12,728 views|9,386 comparisons
90% willing to recommend
IBM Logo
674 views|593 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon Kinesis and IBM Streams 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).
768,740 professionals have used our research since 2012.
Featured Review
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
  • "Under $1,000 per month."
  • "The solution's pricing is fair."
  • "It was actually a fairly high volume we were spending. We were spending about 150 a month."
  • "The fee is based on the number of hours the service is running."
  • "Amazon Kinesis pricing is sometimes reasonable and sometimes could be better, depending on the planning, so it's a five out of ten for me."
  • "In general, cloud services are very convenient to use, even if we have to pay a bit more, as we know what we are paying for and can focus on other tasks."
  • "The tool's entry price is cheap. However, pricing increases with data volume."
  • "The product falls on a bit of an expensive side."
  • More Amazon Kinesis Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The solution's technical support is flawless.
    Top Answer:There are certain shortcomings in the machine learning capacity offered by the product, making it an area where improvements are required. There is a need to introduce something more into the machine… more »
    Top Answer:The solution’s licenses pricing is different from one region to another region. I rate the solution’s pricing a seven out of ten.
    Top Answer:the limited number of connectors. This shall be overcome with work-arounds or eventually buying additional connectors to complete the solution.
    Top Answer:We use the solution for data pipeline by modernizing the traditional ETL jobs done through advanced streaming. Another use case is building the g2g streaming platform, which facilitates data exchange… more »
    Ranking
    2nd
    out of 38 in Streaming Analytics
    Views
    12,728
    Comparisons
    9,386
    Reviews
    8
    Average Words per Review
    562
    Rating
    7.9
    15th
    out of 38 in Streaming Analytics
    Views
    674
    Comparisons
    593
    Reviews
    1
    Average Words per Review
    447
    Rating
    7.0
    Comparisons
    Also Known As
    Amazon AWS Kinesis, AWS Kinesis, Kinesis
    IBM InfoSphere Streams
    Learn More
    Overview

    Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.

    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.
    Sample Customers
    Zillow, Netflix, Sonos
    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
    REVIEWERS
    Computer Software Company29%
    Media Company29%
    Transportation Company14%
    Non Tech Company14%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm17%
    Manufacturing Company8%
    Comms Service Provider5%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company15%
    Comms Service Provider6%
    Real Estate/Law Firm5%
    Company Size
    REVIEWERS
    Small Business36%
    Midsize Enterprise36%
    Large Enterprise27%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise10%
    Large Enterprise72%
    Buyer's Guide
    Streaming Analytics
    April 2024
    Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: April 2024.
    768,740 professionals have used our research since 2012.

    Amazon Kinesis is ranked 2nd in Streaming Analytics with 21 reviews while IBM Streams is ranked 15th in Streaming Analytics with 5 reviews. Amazon Kinesis is rated 8.0, while IBM Streams is rated 8.2. The top reviewer of Amazon Kinesis writes "Used for media streaming and live-streaming data". On the other hand, the top reviewer of IBM Streams writes "A solution for data pipelines but has connector limitations". Amazon Kinesis is most compared with Azure Stream Analytics, Apache Flink, Amazon MSK, Confluent and Google Cloud Dataflow, whereas IBM Streams is most compared with Confluent, Azure Stream Analytics, Apache Flink, Apache Spark and Apache NiFi.

    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.