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StreamSets offers an end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps, and power the modern data ecosystem and hybrid integration.
Only StreamSets provides a single design experience for all design patterns for 10x greater developer productivity; smart data pipelines that are resilient to change for 80% less breakages; and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.
With StreamSets, you can deliver the continuous data that drives the connected enterprise.
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 QueryGrid makes it easy to use all of your data and analytical engines to solve business problems without the hassles of connecting to multiple systems and moving intermediate results around to get the data you need where you need it.
Spring Cloud Data Flow is ranked 18th in Data Integration Tools with 2 reviews while Teradata QueryGrid is ranked 65th in Data Integration Tools. Spring Cloud Data Flow is rated 8.0, while Teradata QueryGrid 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, Amazon Kinesis, Mule Anypoint Platform, Apache Spark Streaming and Azure Data Factory, whereas Teradata QueryGrid is most compared with Teradata Data Mover, SSIS, IBM InfoSphere DataStage, Denodo and Palantir Foundry.
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