Apache Spark Previous Solutions

reviewer879201
Technical Consultant at a tech services company with 1-10 employees
I have used MapReduce from Hadoop previously. Otherwise, I haven't used any other big data infrastructure. In my work previously, not in this company, I was working with some big data, but I was extracting using a single-core off my PC. I realized over time that my system had eight cores. So instead, I used all of those cores for multi-core programming. Then I realized that Hadoop and Spark do the same thing but with different PC's. That was then I used multi-core programming and that's the point - Spark needs to go and search Hadoop and other things. View full review »
Rajendran Veerappan
Director at Nihil Solutions
We did previously use a lot of different mechanisms, however, we needed something that was good at processing data for analytical purposes, and this solution fit the bill. It's a very powerful tool. I haven't seen other tools that could do precisely what this one does. View full review »
Karthikeyan R
Principal Architect at a financial services firm with 1,001-5,000 employees
I was using some other systems and we moved to Spark later. We faced performance and other issues with the other solution. View full review »
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reviewer1221765
Co-Founder at a tech vendor with 11-50 employees
Before using this solution we used Apache Storm. View full review »
Snrsecengin567
Snr Security Engineer at a tech vendor with 201-500 employees
In previous companies, we used MySQL platform and solutions like ArcSight and Splunk. We switched for scalability. MySQL wasn't going to scale, and we don't use Splunk at this company. View full review »
Find out what your peers are saying about Apache, Informatica, Cloudera and others in Hadoop. Updated: July 2020.
431,790 professionals have used our research since 2012.