Apache Spark Stability

Karthikeyan R
Principal Architect at a financial services firm with 1,001-5,000 employees
I found the solution stable. We haven't had any problems with it. View full review »
reviewer1046250
Senior Consultant & Training at a tech services company with 51-200 employees
This solution is difficult for users who are just beginning and they experience out of memory errors when dealing with large amounts of data. View full review »
Snrsecengin567
Snr Security Engineer at a tech vendor with 201-500 employees
The 2.3 version is quite stable. All of our customers use it, there are around 100,000+ users, and it runs 24/7. View full review »
Find out what your peers are saying about Apache, Pivotal, Informatica and others in Hadoop. Updated: November 2019.
377,828 professionals have used our research since 2012.
Abhijit Nayak
Manager | Data Science Enthusiast | Management Consultant at a consultancy with 5,001-10,000 employees
At times when users do not know how to use Spark and request a lot of resources, then the underlying JVMs can crash, which is a big sense of worry. View full review »
Find out what your peers are saying about Apache, Pivotal, Informatica and others in Hadoop. Updated: November 2019.
377,828 professionals have used our research since 2012.
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