Apache Spark Valuable Features

Karthikeyan R
Principal Architect at a financial services firm with 1,001-5,000 employees
The fast performance is the most valuable aspect of the solution. View full review »
reviewer1046250
Senior Consultant & Training at a tech services company with 51-200 employees
The most valuable feature of this solution is its capacity for processing large amounts of data. This solution makes it easy to do a lot of things. It's easy to read data, process it, save it, etc. View full review »
Snrsecengin567
Snr Security Engineer at a tech vendor with 201-500 employees
The scalability has been the most valuable aspect of the solution. View full review »
Find out what your peers are saying about Apache, Pivotal, Informatica and others in Hadoop. Updated: September 2019.
372,906 professionals have used our research since 2012.
Abhijit Nayak
Manager | Data Science Enthusiast | Management Consultant at a consultancy with 5,001-10,000 employees
Distributed in memory processing. Some of the algorithms are resource heavy and executing this requires a lot of RAM and CPU. With Hadoop-related technologies, we can distribute the workload with multiple commodity hardware. View full review »
reviewer894894
User
Machine learning, real time streaming, and data processing are fantastic, as well as the resilient or fault tolerant feature. View full review »
Sumanth Punyamurthula
Director - Data Management, Governance and Quality with 10,001+ employees
Powerful language. View full review »
Rosemary Walsh
Portfolio Manager, Enterprise Solutions Architect with 10,001+ employees
It supports streaming and micro-batch. View full review »
Find out what your peers are saying about Apache, Pivotal, Informatica and others in Hadoop. Updated: September 2019.
372,906 professionals have used our research since 2012.
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