Google Cloud Dataflow vs IBM Streams comparison

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Executive Summary

We performed a comparison between Google Cloud Dataflow and IBM Streams based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: March 2024).
765,386 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
  • "The price of the solution depends on many factors, such as how they pay for tools in the company and its size."
  • "Google Cloud is slightly cheaper than AWS."
  • "The tool is cheap."
  • "Google Cloud Dataflow is a cheap solution."
  • "The solution is cost-effective."
  • "On a scale from one to ten, where one is cheap, and ten is expensive, I rate Google Cloud Dataflow's pricing a four out of ten."
  • "On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a seven to eight out of ten."
  • "The solution is not very expensive."
  • More Google Cloud Dataflow Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The product's installation process is easy...The tool's maintenance part is somewhat easy.
    Top Answer:The authentication part of the product is an area of concern where improvements are required. For some common users, the solution's authentication part is difficult to use. The scalability of the… 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
    7th
    out of 38 in Streaming Analytics
    Views
    4,831
    Comparisons
    4,043
    Reviews
    10
    Average Words per Review
    308
    Rating
    7.7
    15th
    out of 38 in Streaming Analytics
    Views
    678
    Comparisons
    598
    Reviews
    1
    Average Words per Review
    447
    Rating
    7.0
    Comparisons
    Also Known As
    Google Dataflow
    IBM InfoSphere Streams
    Learn More
    Overview
    Google Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.
    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
    Absolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale
    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
    Financial Services Firm14%
    Computer Software Company12%
    Retailer11%
    Manufacturing Company10%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company15%
    Comms Service Provider6%
    Government5%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise9%
    Large Enterprise73%
    Buyer's Guide
    Streaming Analytics
    March 2024
    Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Google Cloud Dataflow is ranked 7th in Streaming Analytics with 10 reviews while IBM Streams is ranked 15th in Streaming Analytics with 5 reviews. Google Cloud Dataflow is rated 7.8, while IBM Streams is rated 8.2. The top reviewer of Google Cloud Dataflow writes "Easy to use for programmers, user-friendly, and scalable". On the other hand, the top reviewer of IBM Streams writes "A solution for data pipelines but has connector limitations". Google Cloud Dataflow is most compared with Databricks, Apache NiFi, Amazon Kinesis, Amazon MSK and Talend Data Streams, whereas IBM Streams is most compared with Confluent, Azure Stream Analytics, Apache Spark, Apache Flink 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.