Compare Spring Cloud Data Flow vs. Teradata Data Mover

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"This is an open-source product that can be used free of charge."

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Ranking
18th
Views
4,676
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3,781
Reviews
2
Average Words per Review
1,101
Rating
8.0
80th
Views
17
Comparisons
17
Reviews
0
Average Words per Review
0
Rating
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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.

Teradata Data Mover removes the complexities from data movement and enables automation, control, and monitoring of the process. Its intuitive interface allows you to define tables and objects to move between sources and targets as well as determines the most efficient process in which to move the data.

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ABANCA, American Eagle, DELL, flex, gates
Top Industries
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Computer Software Company34%
Comms Service Provider14%
Financial Services Firm12%
Retailer5%
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Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: January 2021.
457,459 professionals have used our research since 2012.

Spring Cloud Data Flow is ranked 18th in Data Integration Tools with 2 reviews while Teradata Data Mover is ranked 80th in Data Integration Tools. Spring Cloud Data Flow is rated 8.0, while Teradata Data Mover is rated 0.0. The top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". On the other hand, Spring Cloud Data Flow is most compared with Apache Flink, Cloudera DataFlow, Apache Spark Streaming, Mule Anypoint Platform and TIBCO BusinessWorks, whereas Teradata Data Mover is most compared with .

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