Apache Spark Valuable Features

reviewer879201
Technical Consultant at a tech services company with 1-10 employees
I have worked with Hadoop a lot in my career and you need to do a lot of things to get it to Hello World. But in Spark it is easy. You could say it's an umbrella to do everything under the one shelf. It also has Spark Streaming. I feel the streaming is its best feature because I have extracted to enter data and analysis within Spark Stream. View full review »
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 »
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reviewer1221765
Co-Founder at a tech vendor with 11-50 employees
We use all the features. We use it for end-to-end. All of our data analysis and execution happens through Spark. The features we find most valuable are the: * Machine learning * Data learning * Spark Analytics. View full review »
reviewer1223676
Lead Consultant at a tech services company with 51-200 employees
The main feature that we find valuable is that it is very fast. In terms of big data, the main feature is that the data is in so many different nodes. It goes through many data nodes so whenever we use the data, it enables us to parse the data from different data nodes. 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 »
Mohamed Ghorbel
Director of BigData Offer at IVIDATA
It is a very fast solution. It's very easy to use. There are many RPis with many languages like Scala, Java, R, and Python. The greatest advantage of Spark is that we can initiate many kinds of analytics including SQL analytics, graphics analytics, etc. View full review »
KamleshKhollam
Consultant at Exusia
The most valuable features are the storage engine, the memory engine, and the processing engine. 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 at Hilton
Powerful language. View full review »
Rosemary Walsh
Portfolio Manager, Enterprise Solutions Architect at Capgemini
It supports streaming and micro-batch. View full review »
Find out what your peers are saying about Apache, Informatica, VMware and others in Hadoop. Updated: March 2020.
407,401 professionals have used our research since 2012.