Apache Spark vs StackStorm comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Apache Spark
Average Rating
8.4
Number of Reviews
60
Ranking in other categories
Hadoop (1st), Compute Service (5th), Java Frameworks (2nd)
StackStorm
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Workload Automation (39th)
 

Market share comparison

As of June 2024, in the Hadoop category, the market share of Apache Spark is 14.3% and it decreased by 38.9% compared to the previous year. The market share of StackStorm is 1.3% and it increased by Infinity% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Hadoop
Unique Categories:
Compute Service
11.0%
Java Frameworks
6.5%
Workload Automation
0.1%
 

Featured Reviews

NK
Aug 1, 2022
Easy to code, fast, open-source, very scalable, and great for big data
I use it mostly for ETL transformations and data processing. I have used Spark on-premises as well as on the cloud Spark has been at the forefront of data processing engine. I have used Apache Spark for multiple projects for different clients. It is an excellent tool to process massive amount of…
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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pricing and Cost Advice

"It is quite expensive. In fact, it accounts for almost 50% of the cost of our entire project."
"It is an open-source solution, it is free of charge."
"The solution is affordable and there are no additional licensing costs."
"Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."
"Considering the product version used in my company, I feel that the tool is not costly since the product is available for free."
"It is an open-source platform. We do not pay for its subscription."
"The product is expensive, considering the setup."
"Apache Spark is an open-source tool."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Computer Software Company
13%
Manufacturing Company
7%
Retailer
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Apache Spark?
We use Spark to process data from different data sources.
What needs improvement with Apache Spark?
In data analysis, you need to take real-time data from different data sources. You need to process this in a subsecond, and do the transformation in a subsecond
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Sample Customers

NASA JPL, UC Berkeley AMPLab, Amazon, eBay, Yahoo!, UC Santa Cruz, TripAdvisor, Taboola, Agile Lab, Art.com, Baidu, Alibaba Taobao, EURECOM, Hitachi Solutions
Cisco, Netflix, NASA, Cybera
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: May 2024.
787,061 professionals have used our research since 2012.