Apache Spark vs Zadara comparison

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Apache Spark

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Executive SummaryUpdated on May 21, 2025

Apache Spark and Zadara both compete in the data processing and cloud storage arena. Apache Spark appears to have the upper hand in data processing capabilities, while Zadara excels in integrated storage solutions and managed services.

Features: Apache Spark is notable for powerful data processing with Spark SQL, machine learning via MLlib, and real-time processing through Spark Streaming. Additionally, it supports multiple programming languages, enhancing its versatility. Zadara offers flexible storage options with integration across major cloud platforms, providing comprehensive, end-to-end solutions with scalable performance.

Room for Improvement: Apache Spark could enhance its user experience with better documentation and simpler machine learning operations. Expanding database integration and real-time querying capabilities would also be beneficial. Zadara might improve by extending VMware support and refining its management interface, with a focus on cost-effective pricing models for different regions.

Ease of Deployment and Customer Service: Apache Spark offers varied deployment options, including on-premises and hybrid cloud, primarily relying on community support with some commercial options available through third-party vendors. Zadara offers straightforward deployment in public and hybrid clouds with excellent customer service and predictable environments, making it user-friendly for businesses requiring consistent support.

Pricing and ROI: Apache Spark is cost-effective, leveraging open-source benefits though costs can increase with platforms like Databricks. Despite higher infrastructure demands, substantial ROI is recognized. Zadara uses a pay-per-use model that, while possibly expensive in some areas, ensures predictable pricing with discounts for long-term commitments, presenting a cost-effective solution for scalable operations with guaranteed support.

To learn more, read our detailed Apache Spark vs. Zadara Report (Updated: September 2026).

Apache Spark vs. Zadara

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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

6.9

Zadara offers scalable storage with cost savings and flexibility, enhancing value despite regional cost challenges, benefiting users financially.

No quotes available

For more quotes and insights, download the Apache Spark report

The project had a calculated cost that was fifteen thousand dollars, and came to an amount of six to seven thousand dollars with Zadara.

Arquiteto De Cloud at Claro Brasil

The cost is not cheaper compared to AWS, and we have not seen the expected return on investment.

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Cloud System Engineer at cloud251

I can see the return on investment because we are saving around 15 to 18% of the operational cost when compared to AWS.

Naga Venkata

AI product lead at Sortis

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

8.3

Zadara excels in customer service with 24/7 support, efficient issue resolution, and proactive management, earning high user ratings.

I have received support via newsgroups or guidance on specific discussions, which is what I would expect in an open-source situation.

For more quotes and insights, download the Apache Spark report

Data Architect at Devtech

I would rate the technical support of Apache Spark an eight because when we had questions, we found solutions, and it was straightforward.

Michael Lierheimer

Consultant, Chief Engineer, Teamleiter at infoteam Software AG

I would rate customer support a ten.

Krhistopher Novak

Analista de cloud at a outsourcing company with 1,001-5,000 employees

We lack adequate response times and a 24/7 service level agreement.

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Cloud System Engineer at cloud251

I rate the technical support from Zadara as nine out of ten.

KirillKolesnikov

IT Technical Architect at AVALIS

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

8.0

Zadara provides scalable storage solutions with flexible tiers, enabling businesses to efficiently adjust resources and achieve cost-effective growth.

No quotes available

For more quotes and insights, download the Apache Spark report

There is no need to worry about scalability because the virtual machine automatically detects the load and then takes the load balance.

Naga Venkata

AI product lead at Sortis

The Zadara team handled changes to hard drive RAID and the storage that made up all the logical part, and it was very transparent to the end user.

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Arquiteto De Cloud at Claro Brasil

I do not see limitations there, even for changing the machine's shape, it is very straightforward.

Krhistopher Novak

Analista de cloud at a outsourcing company with 1,001-5,000 employees

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

7.8

Zadara is praised for its stability, reliability, and support, with minor issues mostly due to user error.

Apache Spark resolves many problems in the MapReduce solution and Hadoop, such as the inability to run effective Python or machine learning algorithms.

Omar Khaled

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.

For more quotes and insights, download the Apache Spark report

Data Architect at Devtech

The security and control side, for what it offered, gave total stability.

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Arquiteto De Cloud at Claro Brasil

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 updates, faster features, improved interfaces, comprehensive analytics, enhanced security, AI capabilities, and competitive pricing.

Various tools like Informatica, TIBCO, or Talend offer specific aspects, licensing can be costly;

For more quotes and insights, download the Apache Spark report

Data Architect at Devtech

I find that there really lacks the technical depth to do any recommendations for future updates of Apache Spark.

Michael Lierheimer

Consultant, Chief Engineer, Teamleiter at infoteam Software AG

We encountered many limitations, such as situations where disk space was available in terms of gigabytes, but the number of disks had already been fully allocated.

Krhistopher Novak

Analista de cloud at a outsourcing company with 1,001-5,000 employees

Adding AI capabilities could enhance the offering as well.

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Cloud System Engineer at cloud251

Maintenance can also be complicated, especially when deeper troubleshooting requires navigating the CLI and searching for logs.

KirillKolesnikov

IT Technical Architect at AVALIS

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 straightforward, competitive pricing with flexible pay-per-use models, cost-effective options, and transparent expenses without hidden costs.

No quotes available

For more quotes and insights, download the Apache Spark report

The pricing is considered expensive.

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Cloud System Engineer at cloud251

Valuable Features

Apache Spark provides scalable, in-memory data processing with flexible support for distributed computing, streaming, and machine learning integration.

Zadara excels with seamless cloud integration, scalability, flexible deployment, efficient management, and cost-effective, intuitive user satisfaction features.

Not all solutions can make this data fast enough to be used, except for solutions such as Apache Spark Structured Streaming.

Omar Khaled

Data Engineer at a tech company with 10,001+ employees

The most important part is that everything can be connected, and the data exchange across overseas connections is fast and reliable.

Michael Lierheimer

Consultant, Chief Engineer, Teamleiter at infoteam Software AG

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.

For more quotes and insights, download the Apache Spark report

Data Architect at Devtech

Zadara's impact on scalability and its competitive pricing compared to other market players positively affect my organization.

Wagner Pestana

Analyst Level 3 at a comms service provider with 10,001+ employees

The most valuable feature is its storage management capability.

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Cloud System Engineer at cloud251

Zadara's troubleshooting feature is very valuable for me.

KirillKolesnikov

IT Technical Architect at AVALIS

Categories and Ranking

Apache Spark

Ranking in Compute Service

6th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Hadoop (1st), Java Frameworks (2nd)

Zadara

Ranking in Compute Service

8th

Average Rating

8.6

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

All-Flash Storage (18th), Software Defined Storage (SDS) (10th), Public Cloud Storage Services (12th), File and Object Storage (13th)

Mindshare comparison

As of October 2026, in the Compute Service category, the mindshare of Apache Spark is 7.9%, down from 11.6% compared to the previous year. The mindshare of Zadara is 3.8%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Compute Service Mindshare Distribution
Product	Mindshare (%)
Apache Spark	7.9%
Zadara	3.8%
Other	88.3%

Compute Service

Featured Reviews

Provides a consistent framework for building data integration and access solutions with reliable performance

Data Architect at Devtech

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.

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Hybrid data migration has reduced costs and now needs stronger security and database integration

Arquiteto De Cloud at Claro Brasil

I would like to share something that I believe could improve Zadara's process, which is the issue of communication with databases. Today we have MongoDB as a cloud service, so integration with databases in Zadara would bring better performance in connection in SaaS models and in dynamic models that could bring a platform and a solution that could increase Zadara's usage in the market and in its business scope. Zadara can improve in the database integration area as I mentioned. Zadara can have better dynamism such as MongoDB in SaaS and bring this better dynamism by connecting and offering it within the clouds as a possibility of block storage within that partner cloud, such as AWS EBS, Google's cloud storage, or something within Azure. Creating a stronger partnership where this block storage can become an API connectable across various clouds but native to those clouds would be beneficial. I noticed simplicity in the security part during the time I used Zadara, so I believe Zadara's security needs to improve to provide more and deliver more security visibility to the end customer so that they feel more secure with data encryption and attack protection. A WAF on the API connection that goes through greater protection, something along those lines, could help guarantee that the data is protected by Zadara.

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Outsourcing Company

Comms Service Provider

Construction Company

Comms Service Provider

12%

Construction Company

12%

Outsourcing Company

11%

Manufacturing Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	16
Large Enterprise	33

By reviewers
Company Size	Count
Small Business	13
Large Enterprise	8

Questions from the Community

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 is your primary use case for Apache Spark?

I attempted to use Apache Spark in one of our customer projects, but after the initial test, our customer moved to another technology and another database system. I do not have any final remarks on...

What needs improvement with Zadara?

Zadara can be improved by making their interfaces more attractive. They currently look like simple PHP interfaces, but they need to customize and work on their interfaces and user interfaces signif...

What is your primary use case for Zadara?

My main use case for Zadara is to build and validate the GPU as a Service and the AI sovereignty that they're working on. I have developed a tool that works based on GPU as a Service, and it also c...

What advice do you have for others considering Zadara?

Regarding Zadara's AI capabilities, I think it depends on the MSPs that they are performing collaborations with, and based on that, the MSPs are responsible for configuring the data governance or a...

Cloudera Distribution for Hadoop vs Apache Spark

Comparisons

Compared 7% of the time

AWS Lambda vs Apache Spark

Compared 6% of the time

Amazon EC2 vs Apache Spark

Compared 6% of the time

Apache NiFi vs Apache Spark

Compared 5% of the time

AWS Batch vs Apache Spark

Compared 5% of the time

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Amazon S3 vs Zadara

Compared 8% of the time

Amazon EC2 vs Zadara

Compared 8% of the time

Red Hat Ceph Storage vs Zadara

Compared 5% of the time

Nutanix Cloud Infrastructure (NCI) vs Zadara

Compared 4% of the time

StarWind HyperConverged Appliance vs Zadara

Compared 4% of the time

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Product Reports

Apache Spark

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Overview

Apache Spark is a leading open-source processing tool known for scalability and speed in managing large datasets. It supports both real-time and batch processing and is widely used for building data pipelines, machine learning applications, and analytics.

Apache Spark's strengths lie in its ability to process large data volumes efficiently through real-time and batch capabilities. With in-memory computation, it ensures fast data processing and significant performance gains. Its wide range of APIs, including those for machine learning, SQL, and analytics, make it versatile in handling complex data operations. While popular for ease of use and fault tolerance, Spark's management, debugging, and user-friendliness could benefit from improvements. Better GUIs, integration with BI tools, and enhanced monitoring are desired, alongside shuffling optimization and compatibility with more programming languages.

What are Apache Spark's key features?

Scalability: Efficiently manages large datasets across nodes.
Performance: In-memory computation for faster data processing.
Real-time Processing: Supports real-time analytics and data streaming.
APIs: Offers extensive APIs for machine learning, SQL, and analytics.

What benefits or ROI should users look for in reviews?

Ease of Use: Simplifies complex data tasks through intuitive operations.
Fault Tolerance: Ensures data reliability and continuous operations.
Integration Flexibility: Easily integrates with big data platforms and tools.

Organizations use Apache Spark predominantly for in-memory data processing, enabling seamless integration with big data frameworks. It's applied in security analytics, predictive modeling, and helps facilitate secure data transmissions in AI deployments. Industries leverage Spark's speed for sentiment analysis, data integration, and efficient ETL transformations.

Apache

Zadara integrates cloud solutions with low latency and a pay-as-you-go model, offering user-friendly scalability and IOPS performance. Its robust features such as single-tenant experience and dedicated cores make it an essential choice for enterprise storage needs.

Zadara is designed for seamless cloud integration supporting major cloud vendors. Its offerings include dedicated cores and hybrid drive options within a scalable environment. Providing managed services, Zadara is adaptable with predictable pricing. Its reliability is enhanced by iSCSI service, supporting fault tolerance and data management across data centers.

What are the key features of Zadara?

Cloud Integration: Seamlessly supports major cloud vendors for easy deployment.
Low Latency: Ensures quick data access and processing.
Pay-as-You-Go: Flexible pricing model based on usage.
Single-Tenant Experience: Exclusive resources for enhanced performance.
Dedicated Cores: Provides consistent and reliable service quality.
Hybrid Drive Options: Offers a mix of storage solutions fitting diverse needs.
Managed Services Support: Comprehensive service management and support for users.

What benefits should users evaluate when considering Zadara?

Scalability: Easy to scale resources according to demand.
Flexibility in Deployment: Options for various enterprise storage configurations.
Predictable Pricing: Cost forecasts help manage budgets effectively.
User-Friendliness: Intuitive operations streamline processes.
IOPS Performance: High input/output operations per second for expedited tasks.

In industries managing large-scale data storage and disaster recovery, Zadara provides a foundation for secure and efficient data handling. It supports managed service providers with infrastructure solutions, including backup and disaster recovery, enabling seamless off-site storage and maintaining business continuity across different sectors.

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

Apache Spark vs. Zadara