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Apache Hadoop Valuable Features

JP
Vice President - Finance & IT at a consumer goods company with 1-10 employees

The data is stored in micro-partitions which makes the processes very fast compared to other RDBMS systems. Apache Spark is in the memory process, and it's much better than MapReduce.

Micro-partitions and the HDFS are both excellent features.

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GA
Founder & CTO at a tech services company with 1-10 employees

I actually like most of the capabilities, but I think Spark has added reposit capabilities on top of the Hadoop ecosystem. The Spark area includes the capabilities that I like the most with Hadoop. 

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SS
Technical Lead at a government with 201-500 employees

The distributed processing is excellent. 

On the solution, Spark is very good. 

The performance is pretty good.

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DD
Partner at a tech services company with 11-50 employees

Hadoop is extensible — it's elastic.

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AR
Co-Founder at a tech services company with 201-500 employees

The most valuable features are powerful tools for ingestion, as data is in multiple systems.

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Find out what your peers are saying about Apache, VMware, Snowflake Computing and others in Data Warehouse. Updated: January 2022.
564,643 professionals have used our research since 2012.