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 »
Kürşat Kurt
Software Architect at Akbank
AI libraries are the most valuable. They provide extensibility and usability. Spark has a lot of connectors, which is a very important and useful feature for AI. You need to connect a lot of points for AI, and you have to get data from those systems. Connectors are very wide in Spark. With a Spark cluster, you can get fast results, especially for AI. View full review »
Rajendran Veerappan
Director at Nihil Solutions
The memory processing engine is the solution's most valuable aspect. It processes everything extremely fast, and it's in the cluster itself. It acts as a memory engine and is very effective in processing data correctly. View full review »
Learn what your peers think about Apache Spark. Get advice and tips from experienced pros sharing their opinions. Updated: February 2021.
464,369 professionals have used our research since 2012.
NitinKumar
Engineering Manager at a tech services company with 201-500 employees
Its scalability and speed are very valuable. You can scale it a lot. It is a great technology for big data. It is definitely better than a lot of earlier warehouse or pipeline solutions, such as Informatica. Spark SQL is very compliant with normal SQL that we have been using over the years. This makes it easy to code in Spark. It is just like using normal SQL. You can use the APIs of Spark or you can directly write SQL code and run it. This is something that I feel is useful in Spark. 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 »
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 »
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 »
Learn what your peers think about Apache Spark. Get advice and tips from experienced pros sharing their opinions. Updated: February 2021.
464,369 professionals have used our research since 2012.