Apache Spark Scalability

reviewer879201
Technical Consultant at a tech services company with 1-10 employees
I have not tested the scalability yet. In my company, there are two or three people that are using it for different products. But right now, the client I'm engaged with doesn't know anything about Spark or Hadoop. They are a typical financial company so they do what they do, and they ask us to do everything. They have pretty much outsourced their whole big data initiative to us. View full review »
Rajendran Veerappan
Director at Nihil Solutions
The scalability of the solution is very good. If a company has to expand it, they can do so. Right now, we have about six or seven users that are directly on the product. We're encouraging them to use more data. We do plan to increase usage in the future. View full review »
reviewer1221765
Co-Founder at a tech vendor with 11-50 employees
As long as you do it correctly, it is scalable. Our users mostly consist of data analysts, engineers, data scientists, and DB admins. View full review »
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Snrsecengin567
Snr Security Engineer at a tech vendor with 201-500 employees
The scalability is very good. View full review »
Mohamed Ghorbel
Director of BigData Offer at IVIDATA
The solution is scalable. My understanding is version 3.0 has renewed scaling capabilities and will be able to do so automatically. View full review »
Find out what your peers are saying about Apache, Informatica, Cloudera and others in Hadoop. Updated: July 2020.
431,468 professionals have used our research since 2012.