---
description: Learn more about Apache Spark price, benefits, and disadvantages for businesses in Ireland. Read verified software reviews and discover tools that fit your business needs.
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title: Apache Spark Pricing, Cost & Reviews - Capterra Ireland 2026
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# Apache Spark

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> Open-source unified analytics engine that helps businesses perform large-scale data processing.
> 
> Verdict: Rated **4.6/5** by 16 users. Top-rated for **Likelihood to recommend**.

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## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.6/5** | 16 Reviews |
| Ease of Use | 4.2/5 | Based on overall reviews |
| Customer Support | 4.3/5 | Based on overall reviews |
| Value for Money | 4.6/5 | Based on overall reviews |
| Features | 4.8/5 | Based on overall reviews |
| Recommendation percentage | 90% | (9/10 Likelihood to recommend) |

## About the vendor

- **Company**: Apache Software Foundation
- **Founded**: 2011

## Commercial Context

- **Target Audience**: 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+
- **Deployment & Platforms**: Cloud, SaaS, Web-based
- **Available Countries**: Germany

## Features

- Dashboard

## Category

- [Data Analysis Software](https://www.capterra.ie/directory/31077/data-analysis/software)

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## Reviews

### "Spark does sparkle with data processing" — 5.0/5

> **Vidya** | *27 April 2025* | Information Technology & Services | Recommendation rating: 9.0/10
> 
> **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
> 
> 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

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### "The ultimate tool for big data processing\!" — 5.0/5

> **Filippo** | *2 October 2023* | Marketing & Advertising | Recommendation rating: 10.0/10
> 
> **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.
> 
> 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)

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### "How Apache spark is necessary to learn for a data engineer." — 3.0/5

> **Verified Reviewer** | *27 June 2022* | Information Technology & Services | Recommendation rating: 7.0/10
> 
> **Pros**: Its a framework that allows you to process large amounts of data and stored in to any database.its uses the in memory data processing that is way faster then other framework like hadoop. It supports wide range of languages like scala , java , python so a user can easily adapt with this framework in any one of this language if he have gone through.
> 
> **Cons**: It is difficult here when it comes to process the BLOB files its bit tricky to understand this framework because of lack of documentation on Apache spark.
> 
> I have use this in the project work in organization to perform ETL operations on a large scale of data set for the clients.

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### "The best big data processing engine for both batch and streaming workloads" — 4.0/5

> **Verified Reviewer** | *20 June 2022* | Logistics & Supply Chain | Recommendation rating: 8.0/10
> 
> **Pros**: I like that it can handle both batch and streaming workloads within technically a single framework. It lessens the technical burden for us in learning 2 separate APIs.
> 
> **Cons**: Spark is quite expensive to use. So there's a lot of manual operations and optimizations to do to make sure you don't incur unnecessary costs.
> 
> We used spark to process large data sets both for ETL and machine learning use cases. We used a managed service on top of it to lessen the operational burden and we were able to deploy powerful and reliable data and ML pipelines.

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### "Apache Spark: Ignite Your Data Processing Power" — 5.0/5

> **Samuel** | *18 May 2023* | Telecommunications | Recommendation rating: 8.0/10
> 
> **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

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## Links

- [View on Capterra](https://www.capterra.ie/software/1016160/apache-spark)

## This page is available in the following languages

| Locale | URL |
| en | <https://www.capterra.com/p/233703/Apache-Spark/> |
| en-AE | <https://www.capterra.ae/software/1016160/apache-spark> |
| en-AU | <https://www.capterra.com.au/software/1016160/apache-spark> |
| en-CA | <https://www.capterra.ca/software/1016160/apache-spark> |
| en-GB | <https://www.capterra.co.uk/software/1016160/apache-spark> |
| en-IE | <https://www.capterra.ie/software/1016160/apache-spark> |
| en-IL | <https://www.capterra.co.il/software/1016160/apache-spark> |
| en-IN | <https://www.capterra.in/software/1016160/apache-spark> |
| en-NZ | <https://www.capterra.co.nz/software/1016160/apache-spark> |
| en-SG | <https://www.capterra.com.sg/software/1016160/apache-spark> |
| en-ZA | <https://www.capterra.co.za/software/1016160/apache-spark> |

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