Link copied to clipboard

# Spark vs spring.io Comparison - What are their main differences?

Share
[
Export
](/compare/apache-spark/spring-io/export.csv)

Sparkspring.io[+ Add Product](#)

Reviews

**Spark** [

4.3/5(54)

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

**spring.io** [

4.5/5(321)

](https://www.g2.com/products/spring-io/reviews#reviews)

Pricing

**Spark**
No pricing available

**spring.io**
No pricing available

**Pricing Insights**
from reviews

Time to Implement

**Spark**
Not enough reviews yet

**spring.io**
2 months

Based on 8 responses

Return on Investment

**Spark**
Not enough reviews yet

**spring.io**
14 months

Based on 5 responses

Perceived Cost

**Spark**
$$$$$

**spring.io**
$$$$$

Average Discount

**Spark**
Not enough reviews yet

**spring.io**
Not enough reviews yet

Pros & Cons

**Spark**
Not enough data

**spring.io**
[
Coding Simplicity (1)
](https://www.g2.com/products/spring-io/reviews?filters%5Bsentiment_snippet%5D=1809182&qs=pros-and-cons#reviews)[
Comprehensive Information (1)
](https://www.g2.com/products/spring-io/reviews?filters%5Bsentiment_snippet%5D=1810093&qs=pros-and-cons#reviews)[
Learning Curve (1)
](https://www.g2.com/products/spring-io/reviews?filters%5Bsentiment_snippet%5D=1809843&qs=pros-and-cons#reviews)[
Software Bugs (1)
](https://www.g2.com/products/spring-io/reviews?filters%5Bsentiment_snippet%5D=1809753&qs=pros-and-cons#reviews)

Integrations

**Spark**
Not enough data

**spring.io**
[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_ca6d66bc4b8cb6fd4213c98d558124f1/hibernate.png "Product Avatar Image")

Hibernate

](https://www.g2.com/products/hibernate/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_240340edca859994ec71e4490aa20022/mysql.png "Product Avatar Image")

MySQL

](https://www.g2.com/products/mysql/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_82f55e945509bff7b8009e8024cfe73c/oracle-database.jpg "Product Avatar Image")

Oracle Database

](https://www.g2.com/products/oracle-database/reviews)[
View all
](https://www.g2.com/products/spring-io/integrations)

Screenshots

**Spark**
No screenshot available

**spring.io**
 ![spring.io screenshot](https://images.g2crowd.com/cdn-cgi/image/width=600,height=600,fit=scale-down,format=auto,onerror=redirect,/https://images.g2crowd.com/uploads/attachment/file/60078/expirable-direct-uploads_2Facb5d292-2f64-4785-bf50-3e1db7348619_2Flaptop.png)

Ratings

Meets Requirements

**Spark**

8.4

8.451

**spring.io**

9.1

9.1251

Ease of Use

**Spark**

8.6

8.653

**spring.io**

8.6

8.6251

Ease of Setup

**Spark**

8.3

8.315

**spring.io**

9.0

9.083

Ease of Admin

**Spark**

8.2

8.211

**spring.io**

8.4

8.472

Quality of Support

**Spark**

7.5

7.546

**spring.io**

8.4

8.4220

Has the product been a good partner in doing business?

**Spark**

8.1

8.18

**spring.io**

8.6

8.660

Product Direction (% positive)

**Spark**

7.2

7.250

**spring.io**

9.1

9.1246

Features

Cloud Platform as a Service (PaaS)[Hide 60 FeaturesShow 60 Features](javascript:void(0);)

Not enough data

9.1

9

Development

Application Deployment

Not enough data

9.6(won by default)

8

Custom Development

Not enough data

9.4(won by default)

8

Development Environment

Not enough data

9.2(won by default)

8

Multiple Programming Languages Supported

Not enough data

9.0(won by default)

7

Testing

Not enough data

8.6(won by default)

7

Integrated Development Environment

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Social Media Integration

Not enough data

Not enough data

Agile Methodologies

Not enough data

Not enough data

Software Development

Not enough data

Not enough data

Database

Database Management

Not enough data

9.5(won by default)

7

Analytics

Not enough data

8.9(won by default)

6

Auto Scaling

Not enough data

8.3(won by default)

6

Backup / Recovery

Not enough data

8.6(won by default)

6

Storage

Not enough data

9.4(won by default)

6

Project Management

Not enough data

Not enough data

Email Management

Not enough data

Not enough data

Design Management

Not enough data

Not enough data

Lifecycle Management

Not enough data

Not enough data

Deployment Management

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

Application Management

Not enough data

Not enough data

Purchase Order Management

Not enough data

Not enough data

HR Management

Not enough data

Not enough data

User Management

Not enough data

Not enough data

Infrastructure

Networking

Not enough data

8.9(won by default)

6

Virtual Machines

Not enough data

8.6(won by default)

6

Security

Not enough data

9.0(won by default)

7

Activity Tracking

Not enough data

Not enough data

Additional Functionality

Access Controls/Permissions

Not enough data

Not enough data

Customizable Forms

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Customizable Templates

Not enough data

Not enough data

Cloud Computing

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

Version Control

Not enough data

Not enough data

Customizable Reports

Not enough data

Not enough data

Approval Process Control

Not enough data

Not enough data

Real-Time Reporting

Not enough data

Not enough data

Web Forms

Not enough data

Not enough data

Inventory Tracking

Not enough data

Not enough data

ERP integration

Not enough data

Not enough data

CRM

Not enough data

Not enough data

Customizable Fields

Not enough data

Not enough data

Data Connectors

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Active Directory Integration

Not enough data

Not enough data

Graphical User Interface

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

For Developers

Not enough data

Not enough data

Reporting & Statistics

Not enough data

Not enough data

Single Sign On

Not enough data

Not enough data

Mobile Access

Not enough data

Not enough data

Accounting Integration

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

API

Not enough data

Not enough data

Configurable Workflow

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Projections

Not enough data

Not enough data

User Insights

Reviewers' Company Size

[![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%

[![spring.io](https://images.g2crowd.com/uploads/product/hd_favicon/13b10fbf78fe0ef9bab8268eb1f3d7aa/spring-io.svg "spring.io")](https://www.g2.com/products/spring-io/reviews)

spring.io

Small-Business(50 or fewer emp.)

22.7%

Mid-Market(51-1000 emp.)

34.4%

Enterprise(\> 1000 emp.)

43.0%

Small-Business

(50 or fewer emp.)

27.8%

22.7%

Mid-Market

(51-1000 emp.)

31.5%

34.4%

Enterprise

(\> 1000 emp.)

40.7%

43.0%

Reviewers' Industry

[![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%

[![spring.io](https://images.g2crowd.com/uploads/product/hd_favicon/13b10fbf78fe0ef9bab8268eb1f3d7aa/spring-io.svg "spring.io")](https://www.g2.com/products/spring-io/reviews)
spring.io

Computer Software

26.8%

Information Technology and Services

22.0%

Financial Services

7.9%

Banking

4.1%

Telecommunications

3.1%

Other

36.1%

FAQs

## Spark vs spring.io FAQs

Generated using AI

Last updated: August 14, 2026

### What is the difference between spring.io vs Spark?

spring.io stands out for its higher G2 rating, larger review base, and stronger support scores, while Spark is favored for rapid setup and data processing but has a smaller review footprint.

| [spring.io](https://www.g2.com/products/spring-io/reviews) | [Spark](https://www.g2.com/products/apache-spark/reviews) |
| --- | --- |
| 4.5/5 (320 reviews) | 4.3/5 (54 reviews) |
| Enterprise | Enterprise |
| 9.0 | 8.3 |
| 8.4 | 7.5 |
| Comprehensive Information | — |

### How do the pricing models of spring.io and Spark compare?

spring.io is rated higher for value, with reviewers expressing greater satisfaction with its cost compared to Spark.

- **spring.io:** In recent reviews, many highlight that spring.io is open source and provides robust features without licensing costs, making it a strong value for enterprise and small projects alike.
- **Spark:** Reviewers note that Spark can incur high infrastructure costs when running on clusters, especially for large-scale data processing, but appreciate its open-source nature for development and testing.

### What are the best alternatives to spring.io and Spark?

The top 3 alternatives to spring.io and Spark are Apache OFBiz, Grails, and Vaadin.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [spring.io](https://www.g2.com/products/spring-io/reviews) | 4.5/5 (320 reviews) | Enterprise | Open source, strong value for features | Comprehensive Information |
| [Spark](https://www.g2.com/products/apache-spark/reviews) | 4.3/5 (54 reviews) | Enterprise | Open source, but high infrastructure costs for clusters | Rapid data processing |
| [Apache OFBiz](https://www.g2.com/products/apache-ofbiz/reviews) | 4.2/5 (38 reviews) | Mid-Market | — | Flexible business process management |
| [Grails](https://www.g2.com/products/grails/reviews) | 3.6/5 (33 reviews) | Small-Business | — | Rapid application development |
| [Vaadin](https://www.g2.com/products/vaadin/reviews) | 4.1/5 (36 reviews) | Small-Business | — | Rich UI components for Java apps |

### Which Java Web Frameworks features should I prioritize when comparing spring.io and Spark?

Buyers comparing spring.io and Spark should prioritize Ease of Setup, Quality of Support, Integrations, Coding Simplicity, and Deployment Ease.

- **Ease of Setup:** spring.io scores 9.0, Spark scores 8.3.
- **Quality of Support:** spring.io scores 8.4, Spark scores 7.5.
- **Integrations:** spring.io is frequently cited for easy integrations (all-time mentions: 1); Spark is noted for integration with Python (5 all-time mentions).
- **Coding Simplicity:** spring.io has 1 all-time mention for coding simplicity; Spark is praised for rapid setup in recent reviews.
- **Deployment Ease:** spring.io has 1 all-time mention for deployment ease.

### What are the pros and cons of spring.io vs Spark?

spring.io's headline strength is its comprehensive ecosystem and documentation, while Spark's is its speed and efficiency for large-scale data processing.

- **spring.io strengths:** Comprehensive documentation, rapid project setup with Spring Initializr, robust integrations, strong community support, and ease of use for enterprise Java development (all-time mentions: 1 for each of Coding Simplicity, Comprehensive Information, Deployment Ease, Easy Integrations, Implementation Ease, Problem Solving).
- **spring.io trade-offs:** Steep learning curve (all-time mentions: 1), complexity for beginners, potential for analysis paralysis due to overlapping sub-projects, and resource-heavy deployments.
- **Spark strengths:** Fast in-memory data processing, strong support for batch and streaming jobs, integration with Python, Scala, and Java, and rapid setup for REST APIs.
- **Spark trade-offs:** High infrastructure costs for large clusters, complexity in configuration and debugging, limited advanced configurations compared to spring.io, and a smaller community for support.

### Is spring.io or Spark better for small businesses?

spring.io is a better fit for small businesses, as it is frequently cited for ease of setup and rapid development, despite both products having Enterprise as their largest segment.

- **spring.io:** Largest segment is Enterprise, but recent reviews highlight its suitability for small projects and rapid setup, with several reviewers noting its value for small teams and startups.
- **Spark:** Largest segment is Enterprise, and reviewers note that Spark is best suited for large-scale data processing rather than small business use cases.

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

spring.io is favored for integrations, with reviewers frequently citing its broad integration capabilities, while Spark is noted for its integration with Python.

- **spring.io:** Easy integrations are cited in recent reviews, with 1 all-time mention for integration capabilities with databases and tools.
- **Spark:** Integration with Python is mentioned in 5 reviews, and reviewers also note compatibility with Scala and Java for data processing tasks.

### How do spring.io and Spark compare on customer support?

spring.io leads Spark on Quality of Support by 0.9 points, a material difference in reviewer satisfaction.

- **spring.io:** Reviewers consistently praise the extensive documentation, active community, and helpful guides, with Quality of Support rated at 8.4.
- **Spark:** Reviewers note that support is available but less robust, with Quality of Support rated at 7.5, and some mention challenges with debugging and community responsiveness.

### Which is easier to implement, spring.io or Spark?

spring.io is easier to implement than Spark, with a 0.7-point advantage in Ease of Setup and a slight lead in Ease of Admin.

- **spring.io:** Reviewers highlight rapid project setup using Spring Initializr, minimal configuration, and efficient onboarding for new projects, with an Ease of Setup score of 9.0 and Ease of Admin score of 8.4.
- **Spark:** Reviewers describe Spark as quick to set up for REST APIs and data processing, but note that configuration and debugging can be complex, with an Ease of Setup score of 8.3 and Ease of Admin score of 8.2.

Alternatives

**Spark Alternatives**

 ![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)

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

[
Eclipse Jetty
](/products/eclipse-jetty/reviews)

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

[
JHipster
](/products/jhipster/reviews)

**spring.io Alternatives**

 ![Apache OFBiz](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_274e5989edf9b3600dff38b0e67411b1/apache-ofbiz.png "Apache OFBiz")

[
Apache OFBiz
](/products/apache-ofbiz/reviews)

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

[
Vaadin
](/products/vaadin/reviews)

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

[
Grails
](/products/grails/reviews)

 ![Apache Wicket](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_b4fa4b528db8ec19e04f4485c93361c8/apache-wicket.png "Apache Wicket")

[
Apache Wicket
](/products/apache-wicket/reviews)

## Spark vs spring.io

When assessing the two solutions, reviewers found them equally easy to use. However, spring.io is easier to set up and administer. Reviewers also preferred doing business with spring.io overall.

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