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# Eclipse Jetty vs Spark Comparison - What are their main differences?

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Eclipse JettySpark[+ Add Product](#)

Reviews

**Eclipse Jetty** [

4/5(15)

](https://www.g2.com/products/eclipse-jetty/reviews#reviews)

**Spark** [

4.3/5(54)

](https://www.g2.com/products/apache-spark/reviews#reviews)

Pricing

**Eclipse Jetty**
No pricing available

**Spark**
No pricing available

**Pricing Insights**
from reviews

Time to Implement

**Eclipse Jetty**
Not enough reviews yet

**Spark**
Not enough reviews yet

Return on Investment

**Eclipse Jetty**
Not enough reviews yet

**Spark**
Not enough reviews yet

Perceived Cost

**Eclipse Jetty**
Not enough reviews yet

**Spark**
$$$$$

Average Discount

**Eclipse Jetty**
Not enough reviews yet

**Spark**
Not enough reviews yet

Pros & Cons

**Eclipse Jetty**
Not enough data

**Spark**
Not enough data

Ratings

Meets Requirements

**Eclipse Jetty**

8.9

8.912

**Spark**

8.4

8.451

Ease of Use

**Eclipse Jetty**

8.1

8.112

**Spark**

8.6

8.653

Ease of Setup

**Eclipse Jetty**
Not enough data

**Spark**

8.3

8.315

Ease of Admin

**Eclipse Jetty**
Not enough data

**Spark**

8.2

8.211

Quality of Support

**Eclipse Jetty**

7.8

7.812

**Spark**

7.5

7.546

Has the product been a good partner in doing business?

**Eclipse Jetty**
Not enough data

**Spark**

8.1

8.18

Product Direction (% positive)

**Eclipse Jetty**

8.1

8.112

**Spark**

7.2

7.250

User Insights

Reviewers' Company Size

[![Eclipse Jetty](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_320b82979daacdc4cd4fab507d50195f/eclipse-jetty.jpeg "Eclipse Jetty")](https://www.g2.com/products/eclipse-jetty/reviews)

Eclipse Jetty

Small-Business(50 or fewer emp.)

7.7%

Mid-Market(51-1000 emp.)

38.5%

Enterprise(\> 1000 emp.)

53.8%

[![Spark](https://images.g2crowd.com/uploads/product/hd_favicon/1487566689/apache-spark.png "Spark")](https://www.g2.com/products/apache-spark/reviews)

Spark

Small-Business(50 or fewer emp.)

27.8%

Mid-Market(51-1000 emp.)

31.5%

Enterprise(\> 1000 emp.)

40.7%

Small-Business

(50 or fewer emp.)

7.7%

27.8%

Mid-Market

(51-1000 emp.)

38.5%

31.5%

Enterprise

(\> 1000 emp.)

53.8%

40.7%

Reviewers' Industry

[![Eclipse Jetty](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_320b82979daacdc4cd4fab507d50195f/eclipse-jetty.jpeg "Eclipse Jetty")](https://www.g2.com/products/eclipse-jetty/reviews)
Eclipse Jetty

Information Technology and Services

46.2%

Computer Software

23.1%

Marketing and Advertising

7.7%

Internet

7.7%

Hospital & Health Care

7.7%

Other

7.7%

[![Spark](https://images.g2crowd.com/uploads/product/hd_favicon/1487566689/apache-spark.png "Spark")](https://www.g2.com/products/apache-spark/reviews)
Spark

Computer Software

20.4%

Information Technology and Services

18.5%

Banking

7.4%

Computer & Network Security

5.6%

Accounting

3.7%

Other

44.4%

FAQs

## Eclipse Jetty vs Spark FAQs

Generated using AI

Last updated: August 16, 2026

### What is the difference between Spark vs Eclipse Jetty?

Spark stands out for its higher G2 rating and ease of setup, while Eclipse Jetty is recognized for its robust integration capabilities and user-friendly interface.

| [Spark](https://www.g2.com/products/apache-spark/reviews) | [Eclipse Jetty](https://www.g2.com/products/eclipse-jetty/reviews) |
| --- | --- |
| 4.3/5 (54 reviews) | 4.0/5 (15 reviews) |
| — | — |
| 8.3 | — |
| 7.5 | 7.8 |
| Handles large-scale data processing with in-memory computation and multi-language support | Robust integration capabilities, user-friendly interface, and strong support for Java standards |

### How do the pricing models of Spark and Eclipse Jetty compare?

Spark is rated higher for value, with reviewers expressing greater satisfaction with its cost-effectiveness compared to Eclipse Jetty.

- **Spark:** Reviewers highlight Spark's strong value for handling large-scale data processing, noting its open-source model and advanced capabilities as key benefits.
- **Eclipse Jetty:** Reviewers appreciate Eclipse Jetty being free and open source, but mention occasional performance issues when running multiple services in parallel.

### What are the best alternatives to Spark and Eclipse Jetty?

The top three alternatives to Spark and Eclipse Jetty are Spring.io, Grails, and Vaadin.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [Spark](https://www.g2.com/products/apache-spark/reviews) | 4.3/5 (54 reviews) | — | Open source, strong value for large-scale data processing | Handles large-scale data processing with in-memory computation and multi-language support |
| [Eclipse Jetty](https://www.g2.com/products/eclipse-jetty/reviews) | 4.0/5 (15 reviews) | — | Free and open source, robust integration capabilities | User-friendly interface, strong Java standards support |
| [spring.io](https://www.g2.com/products/spring-io/reviews) | 4.5/5 (320 reviews) | Enterprise | — | Comprehensive Java framework with broad enterprise adoption |
| [Grails](https://www.g2.com/products/grails/reviews) | 3.6/5 (33 reviews) | Small-Business | — | Rapid application development for Java and Groovy |
| [Vaadin](https://www.g2.com/products/vaadin/reviews) | 4.1/5 (36 reviews) | Small-Business | — | Rich UI components for Java web applications |

### Which Java Web Frameworks features should I prioritize when comparing Spark and Eclipse Jetty?

Buyers should prioritize ease of setup, integration capabilities, quality of support, multi-language support, and scalability when comparing Spark and Eclipse Jetty.

- **Ease of Setup:** Spark scores 8.3; Eclipse Jetty has qualitative support for easy implementation in reviews.
- **Integration Capabilities:** Spark integrates with Python (5 all-time mentions); Eclipse Jetty is praised for robust integration and plugin support in recent reviews.
- **Quality of Support:** Spark scores 7.5; Eclipse Jetty scores 7.8.
- **Multi-language Support:** Spark is frequently cited for supporting Python, Scala, Java, and SQL; Eclipse Jetty is recognized for Java standards support.
- **Scalability:** Spark is highlighted for handling large-scale data processing and distributed computing; Eclipse Jetty is noted for speed and scalability in reviews.

### What are the pros and cons of Spark vs Eclipse Jetty?

Spark's headline strength is large-scale, in-memory data processing, while Eclipse Jetty excels in integration and user-friendly Java web server capabilities.

- **Spark strengths:** Handles massive data sets with in-memory computation, supports multiple languages (Python, Scala, Java, SQL), and offers rapid integration with data science tools.
- **Spark trade-offs:** Requires careful setup and tuning, has a steep learning curve for beginners, and infrastructure costs can be high for cluster environments.
- **Eclipse Jetty strengths:** Free and open source, robust integration capabilities, user-friendly interface, strong support for Java standards, and praised for speed and scalability.
- **Eclipse Jetty trade-offs:** Occasional performance issues when running multiple services in parallel, initial proxy configuration can be tricky, and less popular compared to competitors.

### Is Spark or Eclipse Jetty better for small businesses?

G2 data indicates Grails and Vaadin are the top alternatives for small businesses, but Spark and Eclipse Jetty both serve small-business reviewers with positive sentiment.

- **Spark:** Small-business reviewers highlight Spark's ease of use for lightweight web APIs and microservices, with rapid setup and strong documentation.
- **Eclipse Jetty:** Small-business reviewers appreciate Jetty's user-friendly interface and integration capabilities, especially for Java web server needs.

### Which Java Web Frameworks platform has better integrations?

Spark is favored for integrations, with reviewers specifically citing Python integration multiple times, while Eclipse Jetty is recognized for general integration capabilities.

- **Spark:** Integrates with Python (5 all-time mentions), and reviewers highlight its compatibility with data science tools and scripting languages.
- **Eclipse Jetty:** Reviewers mention robust integration and plugin support, but no specific third-party tools are named in the data.

### How do Spark and Eclipse Jetty compare on customer support?

Spark and Eclipse Jetty are rated in near-parity on Quality of Support, with Spark at 7.5 and Eclipse Jetty at 7.8.

- **Spark:** Reviewers describe support as helpful, with a strong community and documentation, though some note a learning curve and occasional delays in issue resolution.
- **Eclipse Jetty:** Reviewers report positive support experiences, citing helpful documentation and community resources, with some noting ease of finding solutions online.

### Which is easier to implement, Spark or Eclipse Jetty?

Spark is rated higher for Ease of Setup with a score of 8.3, while Eclipse Jetty receives positive qualitative feedback for easy implementation.

- **Spark:** Reviewers consistently rate setup as straightforward, with scores of 7.0 and above in recent reviews, and highlight rapid deployment for web APIs and microservices.
- **Eclipse Jetty:** Reviewers describe Jetty as easy to implement, especially for Java web server needs, though some mention initial configuration can be tricky.

Alternatives

**Eclipse Jetty Alternatives**

 ![spring.io](https://images.g2crowd.com/uploads/product/hd_favicon/13b10fbf78fe0ef9bab8268eb1f3d7aa/spring-io.svg "spring.io")

[
spring.io
](/products/spring-io/reviews)

 ![Play](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_8a8a88df35b9711a9c49924c14b28b44/play.png "Play")

[
Play
](/products/play/reviews)

 ![Apache Felix](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_b350900e1c1cde239f398145fc13d8f3/apache-felix.jpg "Apache Felix")

[
Apache Felix
](/products/apache-felix/reviews)

 ![Hibernate](https://images.g2crowd.com/uploads/product/hd_favicon/1548787519/hibernate.svg "Hibernate")

[
Hibernate
](/products/hibernate/reviews)

**Spark Alternatives**

 ![spring.io](https://images.g2crowd.com/uploads/product/hd_favicon/13b10fbf78fe0ef9bab8268eb1f3d7aa/spring-io.svg "spring.io")

[
spring.io
](/products/spring-io/reviews)

 ![Grails](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_36f1bae8310bb7a2f8417ff867932e4a/grails.png "Grails")

[
Grails
](/products/grails/reviews)

 ![Vaadin](https://images.g2crowd.com/uploads/product/hd_favicon/3eafadce7e5a72d053cf43e5a41bce36/vaadin%282%29.svg "Vaadin")

[
Vaadin
](/products/vaadin/reviews)

 ![JHipster](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_95c64c1be649c4ad42eba5485d80e94a/jhipster.png "JHipster")

[
JHipster
](/products/jhipster/reviews)

## Eclipse Jetty vs Spark

- Reviewers felt that Eclipse Jetty meets the needs of their business better than Spark.
- When comparing quality of ongoing product support, reviewers felt that Eclipse Jetty is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Eclipse Jetty over Spark.