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Hitachi Streaming Data Platform [EOL] vs Spring Cloud Data Flow comparison

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Buyer's Guide
Streaming Analytics
April 2024
Executive Summary

We performed a comparison between Hitachi Streaming Data Platform [EOL] and Spring Cloud Data Flow based on real PeerSpot user reviews.

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Featured Review
Use Hitachi Streaming Data Platform [EOL]?
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.
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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
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    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
    Unranked
    In Streaming Analytics
    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
    HSDP
    Learn More
    Hitachi Vantara
    VMware
    Overview

    Hitachi Streaming Data Platform (HSDP) continuously processes, analyzes and extracts operation intelligence from data streams anywhere data originates: on the edge, at the center or anywhere in between. The solution provides real-time insights and uses live and stored data combined with machine learning to enable predictive monitoring and maintenance. You can easily act on IoT data at the source. Operations and service teams can be alerted to possible threshold violations prior to the actual event and take preemptive action.

    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.

    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company16%
    Manufacturing Company7%
    Retailer7%
    Company Size
    No Data Available
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise9%
    Large Enterprise78%
    Buyer's Guide
    Streaming Analytics
    April 2024
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    Hitachi Streaming Data Platform [EOL] doesn't meet the minimum requirements to be ranked in Streaming Analytics while Spring Cloud Data Flow is ranked 9th in Streaming Analytics with 5 reviews. Hitachi Streaming Data Platform [EOL] is rated 0.0, while Spring Cloud Data Flow is rated 8.0. On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". Hitachi Streaming Data Platform [EOL] is most compared with , 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.