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AppDynamics Application Analytics vs IBM Streams comparison

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AppDynamics Application Analytics

Read 11 AppDynamics Application Analytics reviews
191 views|121 comparisons
100% willing to recommend
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IBM Streams

Read 5 IBM Streams reviews
674 views|593 comparisons
100% willing to recommend
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Buyer's Guide
IT Operations Analytics
April 2024
Executive Summary

We performed a comparison between AppDynamics Application Analytics and IBM Streams based on real PeerSpot user reviews.

Find out what your peers are saying about Splunk, New Relic, Devo and others in IT Operations Analytics.
To learn more, read our detailed IT Operations Analytics Report (Updated: April 2024).
Download the complete report
768,246 professionals have used our research since 2012.
Featured Review
Anonymous User
Reduces time spent repairing performance problems
Application Analytics reduces the average time it takes to repair performance problems and improves cooperation between different IT departments.
Ahmed_Emad
A solution for data pipelines but has connector limitations
Quick deployments
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
  • "The pricing of the solution is reasonable for what features you receive."
  • "The license fee for Application Analytics is in the range of 2.5 million over three years, with extra fees for service contingencies."
  • "It's a very expensive product. Each of the licenses after this month for one server is around $9,000 or $10,000."

    • More AppDynamics Application Analytics Pricing and Cost Advice →

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    Questions from the Community
    What do you like most about AppDynamics Application Analytics?
    Top Answer:It's pretty stable.
    Read all 7 answers   →
    What is your experience regarding pricing and costs for AppDynamics Appli...
    Top Answer:It's a very expensive product. Each of the licenses after this month for one server is around $9,000 or $10,000. Therefore, monitoring one server concerning analytics or server monitoring is pretty… more »
    Read all 5 answers   →
    What needs improvement with AppDynamics Application Analytics?
    Top Answer:We'd like to see features that could support IBM's Integration Bus. AppDynamics is unable to provide the details for all the flows in the system transaction flow. That component needs work. The… more »
    Read all 7 answers   →
    What is your experience regarding pricing and costs for IBM Streams?
    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.
    What needs improvement with IBM Streams?
    Top Answer:the limited number of connectors. This shall be overcome with work-arounds or eventually buying additional connectors to complete the solution.
    What is your primary use case for IBM Streams?
    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
    9th
    out of 30 in IT Operations Analytics
    Views
    191
    Comparisons
    121
    Reviews
    2
    Average Words per Review
    457
    Rating
    8.0
    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
    IBM InfoSphere Streams
    Learn More
    AppDynamics
    IBM
    Overview

    Application Analytics refers to the real-time analysis and visualization of automatically collected and correlated data to get insights into IT operations, customer experience and business outcomes. With this next generation of IT operations analytics platform, IT and business users are empowered to quickly answer more meaningful questions than ever before, all in real-time.

    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
    Sony, DirecTV, UBS, The Container Store, The Neta Porter Group, Nasdaq, Cisco, eHarmony, Hallmark, Overstock, Expedia
    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
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company15%
    Comms Service Provider6%
    Real Estate/Law Firm5%
    Company Size
    REVIEWERS
    Small Business8%
    Midsize Enterprise8%
    Large Enterprise83%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise10%
    Large Enterprise72%
    Buyer's Guide
    IT Operations Analytics
    April 2024
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    768,246 professionals have used our research since 2012.

    AppDynamics Application Analytics is ranked 9th in IT Operations Analytics with 11 reviews while IBM Streams is ranked 15th in Streaming Analytics with 5 reviews. AppDynamics Application Analytics is rated 8.2, while IBM Streams is rated 8.2. The top reviewer of AppDynamics Application Analytics writes "Offers very good application performance and features which reflect backend health". On the other hand, the top reviewer of IBM Streams writes "A solution for data pipelines but has connector limitations". AppDynamics Application Analytics is most compared with , whereas IBM Streams is most compared with Confluent, Azure Stream Analytics, Apache Flink, Apache Spark and Apache NiFi.

    We monitor all IT Operations 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.