2006 Data Process Database-centric Pipeline-centric 
AltexSoft
JULY 18, 2023
Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Big data processing.
Confluent
MAY 9, 2019
Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Out of the Tar Pit, 2006.
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