Apache Spark Benefits

Karthikeyan R
Principal Architect at a financial services firm with 1,001-5,000 employees
I'm not sure how it has improved my organization but I believe that it's a good product. View full review »
Abhijit Nayak
Manager | Data Science Enthusiast | Management Consultant at a consultancy with 5,001-10,000 employees
Organisations can now harness richer data sets and benefit from use cases, which add value to their business functions. View full review »
reviewer894894
User
It provides a scalable machine learning library so that we can train and predict user behavior for promotion purposes. View full review »
Find out what your peers are saying about Apache, Pivotal, Informatica and others in Hadoop. Updated: November 2019.
377,264 professionals have used our research since 2012.
Sumanth Punyamurthula
Director - Data Management, Governance and Quality with 10,001+ employees
Spark on AWS is not that cost-effective as memory is expensive and you cannot customize hardware in AWS. If you want more memory, you have to pay for more CPUs too in AWS. View full review »
Rosemary Walsh
Portfolio Manager, Enterprise Solutions Architect with 10,001+ employees
It's a better MR, supports streaming and micro-batch, and supports Spark ML and Spark SQL. View full review »
Find out what your peers are saying about Apache, Pivotal, Informatica and others in Hadoop. Updated: November 2019.
377,264 professionals have used our research since 2012.
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