# Apache Spark Software Pricing, Alternatives & More 2026 | Capterra

> With the help of Capterra, learn about Apache Spark Software - reviews, pricing plans, popular comparisons to other Data Analysis products and more.

Source: https://www.capterra.com/p/233703/Apache-Spark

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# 

 Apache Spark Software Review 2026: Features, Integrations, Pros & Cons

Last updated on March 13, 2026

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team.

[Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[Pricing](#pricing)[Support](#support)[Reviews](#reviews)

Apache Spark

## What is Apache Spark?

Open-source unified analytics engine that helps businesses perform large-scale data processing.

## What is Apache Spark used for?

[Data Analysis](https://www.capterra.com/data-analysis-software/)

Top alternative

Featured

Overall rating

Based on 16 user reviews

Reviews sentiment

Positive

\-

Neutral

\-

Negative

\-

Contact vendor  
for pricing

Free trial  
not available

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## Compare with a popular alternative

Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status.

### Apache Spark

4.6 (16)

VS.

[4.4 (360)](https://www.capterra.com/p/129749/Zoho-Analytics/reviews/)

Starting Price

Contact vendor

Starting Price

$30

Flat Rate, Per Month

Free Trial

Free Version

Pricing Options

Free Trial

Free Version

Ease Of Use

4.2 (16)

Ease Of Use

4.2 (1,848)

Value For Money

4.6 (14)

Value For Money

4.3 (1,256)

Customer Service

4.3 (14)

Customer Service

4.1 (1,190)

## Apache Spark alternatives

Highest Rated

[4.7 (83)](https://www.capterra.com/p/10012559/EngineRoom/reviews/)

Starting price

$495.00

Per User, Per Month

[4.5 (387)](https://www.capterra.com/p/109731/Minitab-Statistical-Software/reviews/)

Starting price

$1851.00

Per User, Per Month

[4.3 (329)](https://www.capterra.com/p/119119/Domo/reviews/)

Starting price

Contact vendor for pricing

[Microsoft Power BI](https://www.capterra.com/p/176586/Power-BI/)

[4.6 (1,869)](https://www.capterra.com/p/176586/Power-BI/reviews/)

Starting price

$10.00

Per User, Per Month

[Learn More](https://www.capterra.com/p/176586/Power-BI/)

[View all alternatives](https://www.capterra.com/p/233703/Apache-Spark/alternatives/)

## Pricing

Value for money

4.6 (14)

### Starting price

Contact vendor  
for pricing

Free trial  
not available

Value for money

4.6 (14)

4.6

Based on 14 reviews

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## Support, customer service and training options

Customer Service

4.3 (14)

Support

-   Email/Help Desk
-   FAQs/Forum
-   Knowledge Base
-   Phone Support
-   24/7 (Live rep)
-   Chat

Training

-   In Person
-   Live Online
-   Webinars
-   Documentation
-   Videos

Deployment

-   Web
-   Android
-   iPhone/iPad

Typical users

-   Freelancers
-   Small businesses
-   Mid size businesses
-   Enterprises

Customer Service

4.3 (14)

4.3

Based on 14 reviews

## User reviews

Overall rating

4.6

Based on 16 reviews

Filter by rating

5(11)

4(3)

3(2)

2(0)

1(0)

Mentioned topic

Sorted by most recent

VP

Vidya P.

Cloud engineer

Information Technology and Services

### "Spark does sparkle with data processing"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

4.0

4.0

Likelihood to Recommend

9/10

April 27, 2025

Overall I have been working with spark for 8 yrs now and it's most widely used framework for analytics and data pipelines which needs expertise to get most out of it

Pros

Spark is in memory computation and very capable of large data processing and it's integration capabilities with different data sources make it special

Cons

Apache spark needs more memory which can be cost consuming and it needs good understanding of framework to get most out of it

Switched from

[Apache Hive](https://www.capterra.com/p/170238/Apache-Hive/)

Hive was not peformant and spark evolved from hive

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

EP

Elena P.

Principal

Management Consulting

### "Ottimizzazione spazio di archiviazione dei big data e analisi"

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

October 15, 2023

Spark ci ha permesso di ottimizzare lo spazio in memoria, risolvendo il problema dell’acquisto di grandi (e costosi) spazi di archiviazione. Le sue funzioni di sicurezza e protezione dei dati, inoltre, garantiscono l’integrità di quanto salvato.

Pros

Adoro la velocità di elaborazione dei dati, la versatilità nell’approccio di elaborazione e l’incredibile ottimizzazione di uso della memoria che si può ottenere con Spark. Notevole l’ecosistema di integrazioni possibili mediante API. Facile da usare, così come semplice è l’integrazione e l’implementazione con i sistemi informatici dell’azienda. Ottimo il supporto del servizio clienti, ma soprattutto quello della community!

Cons

Con elevata complessità all’interno dei dati è difficile individuare e risolvere bug , specialmente se parliamo di elaborazioni di big data. Non è adatto a lavorare su database di piccole dimensioni.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AT

Arun T.

Business Analyst

Information Technology and Services

### "For Big Data-Apache Spark"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

October 5, 2023

Pros

It helps to process the large data quickly.It has good memory queue.It Process in real time.

Cons

Initially difficult to learn for beginners.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

Filippo C.

Senior Data Scientist

Marketing and Advertising

### "The ultimate tool for big data processing!"

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

4.0

4.0

Likelihood to Recommend

10/10

October 2, 2023

Apache Spark is helping me normalize and process hundred of millions of records at a time. Its machine learning library allows further processing to extract valuable insights from advertising and marketing data. As an open source software, it displays hundreds of connectors to read/write data from/to the most common cloud databases, regardless of the data cloud center provider (AWS, Microsoft, GoogleCloud)

Pros

Apache Spark is an open source big data engine that allows to process millions and even billions of records. It supports integration with common programming languages (R, Python, Scala, SQL) which makes it quite easy to use. It's used world wide for data science and engineering and it relies on parallel in-memory computation that boost your code performance. It really helped me in processing any kind of data I had

Cons

It takes time to learn how Spark works and how operations are distributed among the driver and the workers. Also error messages are not completely clear and sometimes debugging is not straightforward.

Switched from

[The Jupyter Notebook](https://www.capterra.com/p/234967/The-Jupyter-Notebook/)

Jupyter Notebook is based on serial computation and it doesn't fit large data processing.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

SN

Shilpa N.

Pricing Lead

Information Technology and Services

### "Boon of Data-Apache Spark"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

September 18, 2023

Pros

It is like inbuilt of new technologies together, which works without any fail.It collects data from various sources and works on real time.

Cons

Need more memory.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

VD

Vinoth D.

Quality Analyst

Information Technology and Services

### "Handle Big Data with Apache Spark"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

September 5, 2023

Pros

It likes the most is Machine Learning for larger data.It handles more data very fast.Error Detection very prominent.

Cons

Lack of Memory.Difficult to learn.Need customer support.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

AK

Ashok Kumar D.

Functional Analyst

Information Technology and Services

### "Analyze Your Data with Apache Spark"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

September 3, 2023

Pros

Excellent in processing real time data.Steam processing is good.

Cons

Machine learning should be improved a level better.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

Meale Y.

Seller

Construction

### "Data transformation"

3.0

Overall Rating

3.0

3.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

5/10

August 25, 2023

Pros

Apache spark is a good software when it is a question of transforming data and analysing it.

Cons

The software is not perfect when i need many joins.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

SA

Samuel A.

Software

Telecommunications

### "Apache Spark: Ignite Your Data Processing Power"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

8/10

May 18, 2023

Pros

Apache Spark is a powerful, free tool that handles big data efficiently, works well with other programming languages, and offers a wide variety of libraries and techniques for high performance

Cons

Apache Spark struggles with small data sets, lacks automatic optimization, and could improve in providing more diverse machine learning libraries and managing memory shortage

Switched from

[Apache Hive](https://www.capterra.com/p/170238/Apache-Hive/)

Spark offers a more robust and diverse ecosystem today compared to Hive

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AU

Anonymous User

Software Engineer

Computer Software

### "Powerful and Open-source"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

2.0

2.0

Likelihood to Recommend

8/10

March 18, 2023

Pros

For me processing was so fast, I compared it with Hadoop on really big data, and it performed better.

Cons

One thing is that there is no automatic optimization process. And there is not much variety of machine learning libraries and algorithms as other big data frameworks.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

[View all Reviews](https://www.capterra.com/p/233703/Apache-Spark/reviews/)

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