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# Google Cloud Dataprep vs Google Cloud Managed Service for Apache Spark Comparison - What are their main differences?

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Google Cloud DataprepGoogle Cloud Managed Service for Apache Spark[+ Add Product](#)

Reviews

**Google Cloud Dataprep** [

4.3/5(16)

](https://www.g2.com/products/google-cloud-dataprep/reviews#reviews)

**Google Cloud Managed Service for Apache Spark** [

4.3/5(18)

](https://www.g2.com/products/google-cloud-managed-service-for-apache-spark/reviews#reviews)

Pricing

**Google Cloud Dataprep**
No pricing available

**Google Cloud Managed Service for Apache Spark**
No pricing available

**Pricing Insights**
from reviews

Time to Implement

**Google Cloud Dataprep**
Not enough reviews yet

**Google Cloud Managed Service for Apache Spark**
Not enough reviews yet

Return on Investment

**Google Cloud Dataprep**
Not enough reviews yet

**Google Cloud Managed Service for Apache Spark**
Not enough reviews yet

Perceived Cost

**Google Cloud Dataprep**
$$$$$

**Google Cloud Managed Service for Apache Spark**
$$$$$

Average Discount

**Google Cloud Dataprep**
Not enough reviews yet

**Google Cloud Managed Service for Apache Spark**
Not enough reviews yet

Pros & Cons

**Google Cloud Dataprep**
Not enough data

**Google Cloud Managed Service for Apache Spark**
Not enough data

Integrations

**Google Cloud Dataprep**
Not enough data

**Google Cloud Managed Service for Apache Spark**
[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_7c23f7efbbad335c53ed6bdca9953572/etl-tools.png "Product Avatar Image")

ETL tools

](https://www.g2.com/products/etl-tools/reviews)[
View all
](https://www.g2.com/products/google-cloud-managed-service-for-apache-spark/integrations)

Ratings

Meets Requirements

**Google Cloud Dataprep**

8.2

8.212

**Google Cloud Managed Service for Apache Spark**

8.6

8.611

Ease of Use

**Google Cloud Dataprep**

9.2

9.213

**Google Cloud Managed Service for Apache Spark**

8.8

8.811

Ease of Setup

**Google Cloud Dataprep**

8.6

8.66

**Google Cloud Managed Service for Apache Spark**
Not enough data

Ease of Admin

**Google Cloud Dataprep**

8.9

8.96

**Google Cloud Managed Service for Apache Spark**
Not enough data

Quality of Support

**Google Cloud Dataprep**

8.3

8.312

**Google Cloud Managed Service for Apache Spark**

8.8

8.811

Has the product been a good partner in doing business?

**Google Cloud Dataprep**

8.9

8.96

**Google Cloud Managed Service for Apache Spark**
Not enough data

Product Direction (% positive)

**Google Cloud Dataprep**

8.2

8.213

**Google Cloud Managed Service for Apache Spark**

8.9

8.911

Features

Big Data Processing and Distribution[Hide 10 FeaturesShow 10 Features](javascript:void(0);)

8.2

10

8.7

10

Database

Real-Time Data Collection

8.7(won by 0.6)

9

 (There is a greater than 0.5 difference between this product's rating and its competitors)

8.1

8

Data Distribution

8.3

9

8.8(won by 0.5)

8

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Data Lake

6.7

9

8.1(won by 1.4)

8

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Integrations

Hadoop Integration

7.1

7

9.0(won by 1.9)

8

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Spark Integration

7.9

8

9.3(won by 1.4)

9

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Platform

Machine Scaling

8.3

8

9.1(won by 0.8)

9

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Data Preparation

9.2(won by 1.3)

10

 (There is a greater than 0.5 difference between this product's rating and its competitors)

7.9

8

Spark Integration

7.9

8

9.3(won by 1.4)

9

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Processing

Cloud Processing

8.7

10

9.1(won by 0.4)

9

Workload Processing

9.4(won by 1.1)

9

 (There is a greater than 0.5 difference between this product's rating and its competitors)

8.3

8

Show 3 feature categories with incomplete data

Data Preparation[Hide 25 FeaturesShow 25 Features](javascript:void(0);)

Not enough data

Not enough data

Data Source Access

Breadth of Data Sources

Not enough data

Not enough data

Ease of Data Connectivity

Not enough data

Not enough data

API Connectivity

Not enough data

Not enough data

Data Interaction

Profiling and Classification

Not enough data

Not enough data

Metadata Management

Not enough data

Not enough data

Data Modeling

Not enough data

Not enough data

Data Joining

Not enough data

Not enough data

Data Blending

Not enough data

Not enough data

Data Quality and Cleansing

Not enough data

Not enough data

Data Sharing

Not enough data

Not enough data

Data Governance

Not enough data

Not enough data

Data Exporting

Breadth of Integrations

Not enough data

Not enough data

Ease of Integrations

Not enough data

Not enough data

Data Workflows

Not enough data

Not enough data

Generative AI

AI Text Generation

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

Additional Functionality

Data Analysis Tools

Not enough data

Not enough data

AI/Machine Learning

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Data Mapping

Not enough data

Not enough data

ETL

Not enough data

Not enough data

Big Data Analytics

Not enough data

Not enough data

Data Quality Control

Not enough data

Not enough data

ETL Tools[Hide 57 FeaturesShow 57 Features](javascript:void(0);)

Not enough data

Not enough data

Management

Reporting

Not enough data

Not enough data

Auditing

Not enough data

Not enough data

Functionality

Extraction

Not enough data

Not enough data

Transformation

Not enough data

Not enough data

Loading

Not enough data

Not enough data

Automation

Not enough data

Not enough data

Scalability

Not enough data

Not enough data

Non-Relational Transformations

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Additional Functionality

Data Mapping

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Charting

Not enough data

Not enough data

Integration Management

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Ad hoc Analysis

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

API

Not enough data

Not enough data

Match & Merge

Not enough data

Not enough data

Real-Time Monitoring

Not enough data

Not enough data

Metadata Management

Not enough data

Not enough data

Pipeline Management

Not enough data

Not enough data

Job Scheduling

Not enough data

Not enough data

Dashboard Creation

Not enough data

Not enough data

Data Storage Management

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

Data Quality Control

Not enough data

Not enough data

Data Connectors

Not enough data

Not enough data

Customizable Reports

Not enough data

Not enough data

Single Sign On

Not enough data

Not enough data

Version Control

Not enough data

Not enough data

Visual Analytics

Not enough data

Not enough data

Accounting Integration

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

eCommerce Management

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

CRM

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

SSL Security

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Real-Time Analytics

Not enough data

Not enough data

Data Capture and Transfer

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Performance Management

Not enough data

Not enough data

Data Synchronization

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

Data Replication

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Database Support

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

Alerts/Notifications

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Data Migration

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Reporting & Statistics

Not enough data

Not enough data

Data Analysis Tools

Not enough data

Not enough data

Big Data[Hide 17 FeaturesShow 17 Features](javascript:void(0);)

Not enough data

Not enough data

Building Reports

Data Transformation

Not enough data

Not enough data

Data Modeling

Not enough data

Not enough data

WYSIWYG Report Design

Not enough data

Not enough data

Integration APIs

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Platform

Mobile User Support

Not enough data

Not enough data

Customization 

Not enough data

Not enough data

User, Role, and Access Management

Not enough data

Not enough data

Internationalization

Not enough data

Not enough data

Sandbox / Test Environments

Not enough data

Not enough data

Performance and Reliability

Not enough data

Not enough data

Breadth of Partner Applications

Not enough data

Not enough data

Mobile Access

Not enough data

Not enough data

Metadata Management

Not enough data

Not enough data

User Insights

Reviewers' Company Size

[![Google Cloud Dataprep](https://images.g2crowd.com/uploads/product/hd_favicon/d1fa702f6edcff4f3de439c8276f2d1f/google-cloud-dataprep.svg "Google Cloud Dataprep")](https://www.g2.com/products/google-cloud-dataprep/reviews)

Google Cloud Dataprep

Small-Business(50 or fewer emp.)

64.3%

Mid-Market(51-1000 emp.)

14.3%

Enterprise(\> 1000 emp.)

21.4%

[![Google Cloud Managed Service for Apache Spark](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_0c51d2c2e5f85fe45126eb818f748267/google-cloud-managed-service-for-apache-spark.png "Google Cloud Managed Service for Apache Spark")](https://www.g2.com/products/google-cloud-managed-service-for-apache-spark/reviews)

Google Cloud Managed Service for Apache Spark

Small-Business(50 or fewer emp.)

25.0%

Mid-Market(51-1000 emp.)

43.8%

Enterprise(\> 1000 emp.)

31.3%

Small-Business

(50 or fewer emp.)

64.3%

25.0%

Mid-Market

(51-1000 emp.)

14.3%

43.8%

Enterprise

(\> 1000 emp.)

21.4%

31.3%

Reviewers' Industry

[![Google Cloud Dataprep](https://images.g2crowd.com/uploads/product/hd_favicon/d1fa702f6edcff4f3de439c8276f2d1f/google-cloud-dataprep.svg "Google Cloud Dataprep")](https://www.g2.com/products/google-cloud-dataprep/reviews)
Google Cloud Dataprep

Information Technology and Services

21.4%

Computer Software

14.3%

Restaurants

7.1%

Primary/Secondary Education

7.1%

Marketing and Advertising

7.1%

Other

42.9%

[![Google Cloud Managed Service for Apache Spark](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_0c51d2c2e5f85fe45126eb818f748267/google-cloud-managed-service-for-apache-spark.png "Google Cloud Managed Service for Apache Spark")](https://www.g2.com/products/google-cloud-managed-service-for-apache-spark/reviews)
Google Cloud Managed Service for Apache Spark

Information Technology and Services

25.0%

Retail

12.5%

Marketing and Advertising

6.3%

Hospital & Health Care

6.3%

Higher Education

6.3%

Other

43.8%

FAQs

## Google Cloud Dataprep vs Google Cloud Managed Service for Apache Spark FAQs

Generated using AI

Last updated: August 15, 2026

### What is the difference between Google Cloud Managed Service for Apache Spark vs Google Cloud Dataprep?

Google Cloud Managed Service for Apache Spark is favored for its infrastructure automation and cluster management, while Google Cloud Dataprep is preferred for its ease of use and data preparation capabilities.

| [Google Cloud Managed Service for Apache Spark](https://www.g2.com/products/google-cloud-managed-service-for-apache-spark/reviews) | [Google Cloud Dataprep](https://www.g2.com/products/google-cloud-dataprep/reviews) |
| --- | --- |
| 4.3/5 (18 reviews) | 4.3/5 (16 reviews) |
| — | — |
| — | 8.6 |
| 8.8 | 8.3 |
| Automated cluster management and scaling | Intuitive data preparation and ease of use |

### How do the pricing models of Google Cloud Managed Service for Apache Spark and Google Cloud Dataprep compare?

Google Cloud Managed Service for Apache Spark is rated higher for price satisfaction than Google Cloud Dataprep.

- **Google Cloud Managed Service for Apache Spark:** Reviewers highlight cost savings from autoscaling and idle cluster deletion, but note that pricing can be confusing when jobs run longer than expected.
- **Google Cloud Dataprep:** In recent reviews, many cite the product as expensive and mention that the pricing model and license costs are a barrier for broader adoption.

### What are the best alternatives to Google Cloud Managed Service for Apache Spark and Google Cloud Dataprep?

Alteryx, Databricks, and Cloudera are the top three alternatives to Google Cloud Managed Service for Apache Spark and Google Cloud Dataprep.

| Product | G2 Rating (reviews) | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- |
| [Google Cloud Managed Service for Apache Spark](https://www.g2.com/products/google-cloud-managed-service-for-apache-spark/reviews) | 4.3/5 (18 reviews) | Reviewers appreciate cost savings from autoscaling and idle cluster deletion | Automated cluster management and scaling |
| [Google Cloud Dataprep](https://www.g2.com/products/google-cloud-dataprep/reviews) | 4.3/5 (16 reviews) | Many reviewers cite high cost and license barriers | Intuitive data preparation and ease of use |
| [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5 (894 reviews) | — | Enterprise-grade data preparation and analytics |
| [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5 (1366 reviews) | — | Unified analytics and scalable data processing |
| [Cloudera](https://www.g2.com/products/cloudera/reviews) | 4.1/5 (136 reviews) | — | Comprehensive big data ecosystem |

### Which Big Data Processing and Distribution features should I prioritize when comparing Google Cloud Managed Service for Apache Spark and Google Cloud Dataprep?

Buyers should prioritize ease of use, ease of setup, quality of support, data preparation capabilities, and infrastructure automation when comparing Google Cloud Managed Service for Apache Spark and Google Cloud Dataprep.

- **Ease of Use:** Google Cloud Managed Service for Apache Spark scores 8.8, Google Cloud Dataprep scores 9.2.
- **Ease of Setup:** Google Cloud Dataprep scores 8.6; no score for Google Cloud Managed Service for Apache Spark.
- **Quality of Support:** Google Cloud Managed Service for Apache Spark scores 8.8, Google Cloud Dataprep scores 8.3.
- **Data Preparation Capabilities:** Reviewers highlight Google Cloud Dataprep for intuitive data cleaning and transformation, while Google Cloud Managed Service for Apache Spark is noted for automated cluster management and scaling.
- **Infrastructure Automation:** Google Cloud Managed Service for Apache Spark is frequently cited for reducing manual cluster management and enabling autoscaling.

### What are the pros and cons of Google Cloud Managed Service for Apache Spark vs Google Cloud Dataprep?

Google Cloud Managed Service for Apache Spark's headline strength is automated cluster management, while Google Cloud Dataprep's is intuitive data preparation.

- **Google Cloud Managed Service for Apache Spark strengths:** Reviewers highlight automated cluster management, autoscaling, integration with BigQuery and Cloud Storage, and reduced manual infrastructure work.
- **Google Cloud Managed Service for Apache Spark trade-offs:** Some reviewers note confusing pricing for long-running jobs, thin documentation, and occasional delays in autoscaling triggering.
- **Google Cloud Dataprep strengths:** Reviewers consistently cite ease of use, low learning curve, fast data cleaning and transformation, and strong integration with GCP products like BigQuery.
- **Google Cloud Dataprep trade-offs:** Many reviewers mention high cost, license barriers, import size limitations, and limited integrations beyond BigQuery and Cloud Storage.

### Is Google Cloud Managed Service for Apache Spark or Google Cloud Dataprep better for small businesses?

Google Cloud Dataprep is better suited for small businesses based on reviewer sentiment and ease of use.

- **Google Cloud Managed Service for Apache Spark:** Reviewers note its scalability and automation, but also mention a steeper learning curve and more technical setup, which may be less ideal for small teams without dedicated data engineers.
- **Google Cloud Dataprep:** Reviewers highlight its low learning curve, user-friendly interface, and suitability for analysts and non-technical users, making it a strong fit for small businesses.

### Which Big Data Processing and Distribution platform has better integrations?

Google Cloud Managed Service for Apache Spark and Google Cloud Dataprep are both frequently cited for integration with BigQuery and Cloud Storage, with no clear reviewer preference for broader integrations.

- **Google Cloud Managed Service for Apache Spark:** Reviewers mention integration with BigQuery and Cloud Storage for streamlined data movement and processing.
- **Google Cloud Dataprep:** Reviewers highlight integration with BigQuery and Cloud Storage, but also note limited support for integrations beyond these core GCP services.

### How do Google Cloud Managed Service for Apache Spark and Google Cloud Dataprep compare on customer support?

Google Cloud Managed Service for Apache Spark and Google Cloud Dataprep are rated within 0.5 points on Quality of Support, with Google Cloud Managed Service for Apache Spark scoring slightly higher at 8.8 versus 8.3.

- **Google Cloud Managed Service for Apache Spark:** Reviewers describe helpful support for critical issues and responsive assistance, with several citing positive experiences with the GCP support team.
- **Google Cloud Dataprep:** Reviewers report generally positive support experiences, though some mention that support was easier when working directly with Google rather than through Trifacta.

### Which is easier to implement, Google Cloud Managed Service for Apache Spark or Google Cloud Dataprep?

Google Cloud Dataprep is rated higher for Ease of Setup at 8.6, with reviewers citing a low learning curve and quick onboarding.

- **Google Cloud Managed Service for Apache Spark:** Reviewers note that setup can require more technical expertise and configuration, with some mentioning a steeper learning curve for new users.
- **Google Cloud Dataprep:** Reviewers consistently highlight easy setup, fast onboarding, and suitability for non-technical users.

Alternatives

**Google Cloud Dataprep Alternatives**

 ![Alteryx](https://images.g2crowd.com/uploads/product/hd_favicon/5200f776b24b5976b8f7d151d1d2e8fd/alteryx.svg "Alteryx")

[
Alteryx
](/products/alteryx/reviews)

 ![Databricks](https://images.g2crowd.com/uploads/product/hd_favicon/135d1c9e39e19ef56dc8d0bf90fce20f/databricks.svg "Databricks")

[
Databricks
](/products/databricks/reviews)

 ![Tableau](https://images.g2crowd.com/uploads/product/hd_favicon/335fbdd506ce66a7f19326fbc586410a/tableau-software-tableau.svg "Tableau")

[
Tableau
](/products/tableau/reviews)

 ![Snowflake](https://images.g2crowd.com/uploads/product/hd_favicon/1544409170/snowflake.svg "Snowflake")

[
Snowflake
](/products/snowflake/reviews)

**Google Cloud Managed Service for Apache Spark Alternatives**

 ![Databricks](https://images.g2crowd.com/uploads/product/hd_favicon/135d1c9e39e19ef56dc8d0bf90fce20f/databricks.svg "Databricks")

[
Databricks
](/products/databricks/reviews)

 ![Cloudera](https://images.g2crowd.com/uploads/product/hd_favicon/dcfb9e6879febb34cef773ddde921835/cloudera.svg "Cloudera")

[
Cloudera
](/products/cloudera/reviews)

 ![Azure Data Factory](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_f176b4154a751d10150daa67a57b7dc5/azure-data-factory.jpg "Azure Data Factory")

[
Azure Data Factory
](/products/azure-data-factory/reviews)

 ![Amazon EMR](https://images.g2crowd.com/uploads/product/hd_favicon/1528476487/amazon-emr.svg "Amazon EMR")

[
Amazon EMR
](/products/amazon-emr/reviews)

## Google Cloud Dataprep vs Google Cloud Managed Service for Apache Spark

- Reviewers felt that Google Cloud Managed Service for Apache Spark meets the needs of their business better than Google Cloud Dataprep.
- When comparing quality of ongoing product support, reviewers felt that Google Cloud Managed Service for Apache Spark is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Google Cloud Managed Service for Apache Spark over Google Cloud Dataprep.