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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
5.6
Apache Spark provides up to 50% cost savings, boosting efficiency and reducing expenses significantly in machine learning analytics.
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
6.0
Apache Spark offers vibrant community support and resources, with commercial support available through vendors like Cloudera and Hadoop.
Sentiment score
8.2
Zadara's exceptional, 24/7 global customer service and technical expertise reduce user workload, earning high satisfaction ratings.
I would rate the technical support of Apache Spark an eight because when we had questions, we found solutions, and it was straightforward.
Consultant, Chief Engineer, Teamleiter at infoteam Software AG
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
7.4
Apache Spark's scalability and versatility enable efficient large-scale data processing, making it a reliable choice for diverse teams.
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 praised for its robust stability and reliability, with high user ratings despite minor configuration challenges.
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.
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 needs improvements in real-time querying, user-friendliness, logging, large dataset handling, and expanded programming language support.
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
I find that there really lacks the technical depth to do any recommendations for future updates of Apache Spark.
Consultant, Chief Engineer, Teamleiter at infoteam Software AG
Maintenance can also be complicated, especially when deeper troubleshooting requires navigating the CLI and searching for logs.
IT Technical Architect at AVALIS
Adding AI capabilities could enhance the offering as well.
Cloud System Engineer at cloud251
 

Setup Cost

Apache Spark is cost-effective but can incur high infrastructure costs, especially in cloud setups like Databricks, with setup time variability.
Zadara offers predictable pay-per-use pricing, with all-inclusive features and support, appealing to cost-conscious enterprise buyers.
 

Valuable Features

Apache Spark provides scalable, in-memory data processing with flexible support for distributed computing, streaming, and machine learning integration.
Zadara offers flexible cloud integration, scalable storage solutions, and predictable costs with high performance, reliability, and user-friendly support.
The most important part is that everything can be connected, and the data exchange across overseas connections is fast and reliable.
Consultant, Chief Engineer, Teamleiter at infoteam Software AG
Apache Spark is the solution, and within it, you have PySpark, which is the API for Apache Spark to write and run Python code.
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
69
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) (16th), Public Cloud Storage Services (15th), File and Object Storage (22nd)
 

Mindshare comparison

As of March 2026, in the Compute Service category, the mindshare of Apache Spark is 10.1%, down from 11.3% compared to the previous year. The mindshare of Zadara is 3.9%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Compute Service Mindshare Distribution
ProductMindshare (%)
Apache Spark10.1%
Zadara3.9%
Other86.0%
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.
Kirubel Behailu - PeerSpot reviewer
Cloud System Engineer at cloud251
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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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Manufacturing Company
7%
Computer Software Company
6%
Comms Service Provider
6%
Computer Software Company
14%
Comms Service Provider
8%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise16
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?
I find that there really lacks the technical depth to do any recommendations for future updates of Apache Spark. I used it for two years for our prototype work and testing things, but because I had...
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: March 2026.
885,286 professionals have used our research since 2012.