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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
6.1
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.
Cloud System Engineer at cloud251
 

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 have received support via newsgroups or guidance on specific discussions, which is what I would expect in an open-source situation.
Data Architect at Devtech
I rate the technical support from Zadara as nine out of ten.
IT Technical Architect at AVALIS
We lack adequate response times and a 24/7 service level agreement.
Cloud System Engineer at cloud251
 

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.
Cloud System Engineer at cloud251
 

Stability Issues

Sentiment score
7.4
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.
Apache Spark resolves many problems in the MapReduce solution and Hadoop, such as the inability to run effective Python or machine learning algorithms.
Data Engineer at a tech company with 10,001+ employees
Without a doubt, we have had some crashes because each situation is different, and while the prototype in my environment is stable, we do not know everything at other customer sites.
Data Architect at Devtech
 

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.
Various tools like Informatica, TIBCO, or Talend offer specific aspects, licensing can be costly;
Data Architect at Devtech
Adding AI capabilities could enhance the offering as well.
Cloud System Engineer at cloud251
Maintenance can also be complicated, especially when deeper troubleshooting requires navigating the CLI and searching for logs.
IT Technical Architect at AVALIS
 

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.
Data Engineer at a tech company with 10,001+ employees
The solution is beneficial in that it provides a base-level long-held understanding of the framework that is not variant day by day, which is very helpful in my prototyping activity as an architect trying to assess Apache Spark, Great Expectations, and Vault-based solutions versus those proposed by clients like TIBCO or Informatica.
Data Architect at Devtech
The most valuable feature is its storage management capability.
Cloud System Engineer at cloud251
Zadara's troubleshooting feature is very valuable for me.
IT Technical Architect at AVALIS
 

Categories and Ranking

Apache Spark
Ranking in Compute Service
5th
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
68
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 (32nd), Software Defined Storage (SDS) (17th), Public Cloud Storage Services (15th), File and Object Storage (20th)
 

Mindshare comparison

As of January 2026, in the Compute Service category, the mindshare of Apache Spark is 11.2%, down from 11.4% compared to the previous year. The mindshare of Zadara is 3.0%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Compute Service Market Share Distribution
ProductMarket Share (%)
Apache Spark11.2%
Zadara3.0%
Other85.8%
Compute Service
 

Featured Reviews

Devindra Weerasooriya - PeerSpot reviewer
Data Architect at Devtech
Provides a consistent framework for building data integration and access solutions with reliable performance
The in-memory computation feature is certainly helpful for my processing tasks. It is helpful because while using structures that could be held in memory rather than stored during the period of computation, I go for the in-memory option, though there are limitations related to holding it in memory that need to be addressed, but I have a preference for in-memory computation. The solution is beneficial in that it provides a base-level long-held understanding of the framework that is not variant day by day, which is very helpful in my prototyping activity as an architect trying to assess Apache Spark, Great Expectations, and Vault-based solutions versus those proposed by clients like TIBCO or Informatica.
KK
IT Technical Architect at AVALIS
Troubleshooting becomes more accessible and management improves over time
I use this product as storage. Specifically, I use it as big storage. That's the main use case for Zadara Zadara's troubleshooting feature is very valuable for me. After the last update, managing the product became easier. Management is more straightforward and useful. These improvements are…
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Computer Software Company
9%
Manufacturing Company
7%
Comms Service Provider
6%
Computer Software Company
19%
Manufacturing Company
11%
Comms Service Provider
7%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise15
Large Enterprise32
By reviewers
Company SizeCount
Small Business12
Large Enterprise4
 

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?
Areas for improvement are obviously ease of use considerations, though there are limitations in doing that, so while various tools like Informatica, TIBCO, or Talend offer specific aspects, licensi...
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: December 2025.
881,082 professionals have used our research since 2012.