Spring Cloud Data Flow vs Vitria VIA comparison

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3,934 views|2,906 comparisons
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36 views|15 comparisons
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Executive Summary

We performed a comparison between Spring Cloud Data Flow and Vitria VIA 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).
768,578 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
  • "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
    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 »
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    Ranking
    9th
    out of 38 in Streaming Analytics
    Views
    3,934
    Comparisons
    2,906
    Reviews
    2
    Average Words per Review
    598
    Rating
    8.0
    36th
    out of 38 in Streaming Analytics
    Views
    36
    Comparisons
    15
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    VIA, VIA Analytics Platform
    Learn More
    Overview

    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.

    VIA by Vitria is an agile analytics platform enabling rapid design, development, and deployment of solutions that solve problems by making sense of data - even the volume and speed of data coming from IoT devices. Agile analytics enables companies to react quickly to changes and improve business outcomes.

    Sample Customers
    Information Not Available
    Telefonica
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company16%
    Manufacturing Company7%
    Retailer7%
    No Data Available
    Company Size
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise9%
    Large Enterprise78%
    No Data Available
    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.
    768,578 professionals have used our research since 2012.

    Spring Cloud Data Flow is ranked 9th in Streaming Analytics with 5 reviews while Vitria VIA is ranked 36th in Streaming Analytics. Spring Cloud Data Flow is rated 8.0, while Vitria VIA is rated 0.0. The top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". On the other hand, Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks, whereas Vitria VIA is most compared with .

    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.