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  • Alebra Technologies Parallel Data Mover vs. Spring Cloud Data Flow

Alebra Technologies Parallel Data Mover vs Spring Cloud Data Flow comparison

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    Featured Review
    Use Alebra Technologies Parallel Data Mover?
    Juzer Ali
    Simple programming model, low maintenance, but interface could improve
    It reduced the overhead of microservices communication.
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    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."

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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 »
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    Ranking
    Unranked
    In Emerging Solutions
    29th
    out of 100 in Data Integration
    Views
    2,449
    Comparisons
    1,823
    Reviews
    2
    Average Words per Review
    598
    Rating
    8.0
    Comparisons
    Also Known As
    Parallel Data Mover
    Learn More
    Alebra Technologies
    VMware
    Overview

    Alebra Technologies' Parallel Data Mover Software (PDM) is a unique parallel data streaming technology that tracks, accelerates, and automates data movement and data integration with applications across your enterprise, all while reducing MIPS consumption and improving efficiency. This includes movement and integration between mainframes and Linux, Unix and Windows (LUW), mainframe to mainframe, LUW to LUW, and mainframes to Hadoop.

    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%

    Alebra Technologies Parallel Data Mover doesn't meet the minimum requirements to be ranked in Emerging Solutions while Spring Cloud Data Flow is ranked 29th in Data Integration with 5 reviews. Alebra Technologies Parallel Data Mover 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 ". Alebra Technologies Parallel Data Mover 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.

    We monitor all Emerging Solutions 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.