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Apache Spark vs Zadara comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on May 21, 2025

Review summaries and opinions

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

ROI

Sentiment score
6.6
Apache Spark enhances machine learning, cutting operational costs by up to 50%, with efficiency reliant on resources and expertise.
Sentiment score
8.2
Zadara offers cost-effective scalability, eliminating upfront investments with flexible, nearly limitless capacity, potentially saving 50% in time and money.
The cost is not cheaper compared to AWS, and we have not seen the expected return on investment.
 

Customer Service

Sentiment score
5.9
Apache Spark support feedback varies, with mixed reviews on community forums, vendor support, and documentation adequacy.
Sentiment score
8.2
Zadara's exceptional, 24/7 global customer service and technical expertise reduce user workload, earning high satisfaction ratings.
I rate the technical support from Zadara as nine out of ten.
We lack adequate response times and a 24/7 service level agreement.
 

Scalability Issues

Sentiment score
7.5
Apache Spark excels in scalability, efficiently handling large data workloads with ease, though it requires skilled infrastructure management.
Sentiment score
7.6
Zadara provides scalable, flexible workload management, supporting business growth with adjustable tiers and high performance for various needs.
Zadara is a fully-fledged platform, and our customers are happy with its use.
 

Stability Issues

Sentiment score
7.5
Apache Spark is generally stable, trusted by companies; newer versions enhance reliability, though memory issues may arise without proper configuration.
Sentiment score
7.5
Users appreciate Zadara for its stability, high-availability, and reliability, noting minimal downtime and dependable performance in demanding environments.
MapReduce needs to perform numerous disk input and output operations, while Apache Spark can use memory to store and process data.
 

Room For Improvement

Apache Spark requires improvements in scalability, usability, documentation, memory efficiency, real-time processing, and broader language support for better performance.
Zadara needs better communication, advanced features, broader support, improved infrastructure, and user-friendly upgrades to enhance market competitiveness.
Maintenance can also be complicated, especially when deeper troubleshooting requires navigating the CLI and searching for logs.
Adding AI capabilities could enhance the offering as well.
 

Setup Cost

Apache Spark is cost-effective but may incur expenses from hardware, cloud resources, or commercial support, impacting deployment costs.
Zadara offers predictable pay-per-use pricing, with all-inclusive features and support, appealing to cost-conscious enterprise buyers.
 

Valuable Features

Apache Spark offers fast in-memory processing, scalable analytics, MLlib for machine learning, SQL support, and seamless integration with languages.
Zadara offers flexible cloud integration, scalable storage solutions, and predictable costs with high performance, reliability, and user-friendly support.
Not all solutions can make this data fast enough to be used, except for solutions such as Apache Spark Structured Streaming.
The most valuable feature is its storage management capability.
Zadara's troubleshooting feature is very valuable for me.
 

Categories and Ranking

Apache Spark
Ranking in Compute Service
4th
Average Rating
8.4
Reviews Sentiment
7.3
Number of Reviews
67
Ranking in other categories
Hadoop (1st), Java Frameworks (2nd)
Zadara
Ranking in Compute Service
10th
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
12
Ranking in other categories
All-Flash Storage (33rd), Software Defined Storage (SDS) (18th), Public Cloud Storage Services (15th), File and Object Storage (20th)
 

Mindshare comparison

As of August 2025, in the Compute Service category, the mindshare of Apache Spark is 12.0%, up from 11.4% compared to the previous year. The mindshare of Zadara is 1.2%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Compute Service
 

Featured Reviews

Omar Khaled - PeerSpot reviewer
Empowering data consolidation and fast decision-making with efficient big data processing
I can improve the organization's functions by taking less time to make decisions. To make the right decision, you need the right data, and a solution can provide this by hiring talent and employees who can consolidate data from different sources and organize it. Not all solutions can make this data fast enough to be used, except for solutions such as Apache Spark Structured Streaming. To make the right decision, you should have both accurate and fast data. Apache Spark itself is similar to the Python programming language. Python is a language with many libraries for mathematics and machine learning. Apache Spark is the solution, and within it, you have PySpark, which is the API for Apache Spark to write and run Python code. Within it, there are many APIs, including SQL APIs, allowing you to write SQL code within a Python function in Apache Spark. You can also use Apache Spark Structured Streaming and machine learning APIs.
Kirubel Behailu - PeerSpot reviewer
Enhancing storage management efficiency with user-friendly experience
Our customers are using Zadara for their research and development environments. We provide infrastructure for government projects, but we are often not fully aware of their specific usage.  I typically use it for our infrastructure and offer both Zadara and Microsoft Azure to our customers Zadara…
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865,384 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
26%
Computer Software Company
10%
Manufacturing Company
7%
Comms Service Provider
7%
Computer Software Company
21%
Manufacturing Company
16%
Government
5%
Comms Service Provider
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Apache Spark?
We use Spark to process data from different data sources.
What is your experience regarding pricing and costs for Apache Spark?
Apache Spark is open-source, so it doesn't incur any charges.
What needs improvement with Apache Spark?
There is complexity when it comes to understanding the whole ecosystem, especially for beginners. I find it quite complex to understand how a Spark job is initiated, the roles of driver nodes, work...
What needs improvement with Zadara?
The initial installation was difficult because many steps required the command line interface (CLI). Maintenance can also be complicated, especially when deeper troubleshooting requires navigating ...
What is your primary use case for Zadara?
I use this product as storage. Specifically, I use it as big storage. That's the main use case for Zadara ( /products/zadara-reviews ).
What advice do you have for others considering Zadara?
As for the pros and cons, the main concerns are the complexity of the initial installation and the complicated maintenance due to the CLI usage. Overall, I do not have other complaints. My overall ...
 

Comparisons

 

Overview

 

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
Time, Inc. A&E Network, The Washington Post, News UK, McGraw Hill, Gilt, Toshiba, Deloitte, VMware
Find out what your peers are saying about Apache Spark vs. Zadara and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.