Alebra Technologies Parallel Data Mover vs. Spring Cloud Data Flow

Alebra Technologies Parallel Data Mover is ranked unranked in Data Integration Tools vs Spring Cloud Data Flow which is ranked 20th in Data Integration Tools with 1 review. The top reviewer of Spring Cloud Data Flow writes "Gives us the simplicity of using off-the-shelf data flow plug-in components". Alebra Technologies Parallel Data Mover is most compared with . Spring Cloud Data Flow is most compared with StreamSets, Talend Open Studio and CloverETL.
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Ranking
Unranked
In Data Integration Tools
20th
Views
380
Comparisons
271
Reviews
1
Followers
5
Avg. Rating
8.0
Top Comparisons
Compared 51% of the time.
Compared 10% of the time.
Also Known As
Parallel Data Mover
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Alebra Technologies
Pivotal
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.

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