Gigaspaces Smart Cache vs Spring Cloud Data Flow comparison

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Executive Summary

We performed a comparison between Gigaspaces Smart Cache 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).
767,667 professionals have used our research since 2012.
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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
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  • "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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    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 »
    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.
    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 »
    Ranking
    31st
    out of 38 in Streaming Analytics
    Views
    105
    Comparisons
    81
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    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
    Gigaspaces InsightEdge
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    Overview

    Smart Cache is the fastest, most scalable, distributed caching tier that runs on any operational data source, to accelerate your digital applications and fuel real-time reporting and BI. Smart Cache is optimized for rapidly changing data and multi-criteria queries; and is fully SQL compatible.

    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
    UBS, Daiwa Capital Markets, Morgan Stanley, Schneider Electric, Frequentis, SG Digital, Charles Schwab, 888 Holdings, BNP Paribas, Liberty Global
    Information Not Available
    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
    Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: April 2024.
    767,667 professionals have used our research since 2012.

    Gigaspaces Smart Cache is ranked 31st in Streaming Analytics while Spring Cloud Data Flow is ranked 9th in Streaming Analytics with 5 reviews. Gigaspaces Smart Cache 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 ". Gigaspaces Smart Cache 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.

    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.