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IBM Streams vs Spring Cloud Data Flow comparison

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IBM Streams

Read 5 IBM Streams reviews
674 views|593 comparisons
100% willing to recommend
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Spring Cloud Data Flow

Read 5 Spring Cloud Data Flow reviews
3,934 views|2,906 comparisons
100% willing to recommend
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Buyer's Guide
Streaming Analytics
April 2024
Executive Summary

We performed a comparison between IBM Streams and Spring Cloud Data Flow 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).
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768,886 professionals have used our research since 2012.
Featured Review
Ahmed_Emad
A solution for data pipelines but has connector limitations
Quick deployments
Juzer Ali
Simple programming model, low maintenance, but interface could improve
It reduced the overhead of microservices communication.
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
Information Not Available
  • "This is an open-source product that can be used free of charge."
  • "If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution."

    • More Spring Cloud Data Flow Pricing and Cost Advice →

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    Questions from the Community
    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 »
    What needs improvement with Spring Cloud Data Flow?
    Top Answer:On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required. The online discussion forum for the tool should include possible questions… more »
    Read all 5 answers   →
    What is your primary use case for Spring Cloud Data Flow?
    Top Answer:I used the solution for a payment platform we integrated with our organization. Our company had to use it since we had to integrate it with different payment platforms.
    Read all 5 answers   →
    What advice do you have for others considering Spring Cloud Data Flow?
    Top Answer:Spring Cloud Data Flow is a useful product if I consider how there are different providers with whom my company had to deal, and most of them offer cloud-based products. I can't explain any crucial… more »
    Read all 5 answers   →
    Ranking
    15th
    out of 38 in Streaming Analytics
    Views
    674
    Comparisons
    593
    Reviews
    1
    Average Words per Review
    447
    Rating
    7.0
    9th
    out of 38 in Streaming Analytics
    Views
    3,934
    Comparisons
    2,906
    Reviews
    2
    Average Words per Review
    598
    Rating
    8.0
    Comparisons
    Also Known As
    IBM InfoSphere Streams
    Learn More
    IBM
    VMware
    Overview
    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.

    Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
    Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

    Sample Customers
    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
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company15%
    Comms Service Provider6%
    Real Estate/Law Firm5%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company16%
    Manufacturing Company7%
    Retailer7%
    Company Size
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise10%
    Large Enterprise72%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise10%
    Large Enterprise78%
    Buyer's Guide
    Streaming Analytics
    April 2024
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    768,886 professionals have used our research since 2012.

    IBM Streams is ranked 15th in Streaming Analytics with 5 reviews while Spring Cloud Data Flow is ranked 9th in Streaming Analytics with 5 reviews. IBM Streams is rated 8.2, while Spring Cloud Data Flow is rated 8.0. The top reviewer of IBM Streams writes "A solution for data pipelines but has connector limitations". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". IBM Streams is most compared with Confluent, Azure Stream Analytics, Apache Flink, Apache Spark and Apache NiFi, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks.

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    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.