Compare AWS Glue and Google Cloud Dataproc 
Featured Products
At a Glance
Market Segments
Enterprise (47.6% of reviews)
Mid-Market (46.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS Glue
Star Rating
(198)4.3 out of 5
Market Segments
Enterprise (47.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about AWS GlueGoogle Cloud Dataproc
Star Rating
(17)4.4 out of 5
Market Segments
Mid-Market (46.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataprocAWS Glue vs Google Cloud Dataproc
- Reviewers felt that Google Cloud Dataproc meets the needs of their business better than AWS Glue.
- When comparing quality of ongoing product support, reviewers felt that Google Cloud Dataproc is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of AWS Glue over Google Cloud Dataproc.
Pricing
Entry-Level Pricing
AWS Glue
No pricing availableGoogle Cloud Dataproc
No pricing availableFree Trial
AWS Glue
Free Trial is available
Google Cloud Dataproc
No trial information availableRatings
Meets Requirements
8.5
156
8.7
10
Ease of Use
8.4
159
9.0
10
Ease of Setup
8.6
74
Not enough data
Ease of Admin
8.3
67
Not enough data
Quality of Support
8.3
154
8.8
10
Has the product been a good partner in doing business?
8.8
67
Not enough data
Product Direction (% positive)
9.0
155
8.8
10
Features by Category
Data Governance
8.5
16
Not enough data
8.8
14
Not enough data
8.7
14
Not enough data
Data Preparation
8.2
17
Not enough data
8.9
15
Not enough data
8.9
16
Not enough data
8.8
18
Not enough data
Collaboration
8.2
16
Not enough data
9.0
16
Not enough data
8.9
16
Not enough data
8.6
18
Not enough data
Artificial Intelligence
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Machine Learning Data Catalog
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Source Access
8.5
60
Not enough data
8.4
61
Not enough data
8.5
57
Not enough data
Data Interaction
8.4
58
Not enough data
8.5
62
Not enough data
8.3
61
Not enough data
8.8
61
Not enough data
8.6
54
Not enough data
8.9
59
Not enough data
8.6
57
Not enough data
8.3
58
Not enough data
Data Exporting
8.6
58
Not enough data
8.2
58
Not enough data
8.4
61
Not enough data
Generative AI
6.9
8
Not enough data
Administration
9.1
23
Not enough data
9.0
23
Not enough data
9.1
25
Not enough data
Federation
9.1
24
Not enough data
9.2
23
Not enough data
8.9
22
Not enough data
8.9
22
Not enough data
Transformation
8.7
24
Not enough data
9.1
23
Not enough data
8.6
24
Not enough data
Management
8.7
61
Not enough data
8.7
56
Not enough data
Functionality
9.0
67
Not enough data
8.9
72
Not enough data
9.2
70
Not enough data
8.8
67
Not enough data
8.9
68
Not enough data
Management
9.1
18
Not enough data
9.0
19
Not enough data
9.1
18
Not enough data
9.1
17
Not enough data
Solution Provision
9.0
16
Not enough data
8.8
15
Not enough data
8.9
16
Not enough data
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
8.1
8
Not enough data
8.8
8
Not enough data
8.1
8
Integrations
Not enough data
9.0
8
Not enough data
9.4
8
Platform
Not enough data
9.2
8
Not enough data
7.9
8
Not enough data
9.4
8
Processing
Not enough data
9.0
8
Not enough data
8.3
8
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
AWS Glue and Google Cloud Dataproc are categorized as ETL Tools
Unique Categories
AWS Glue is categorized as AWS Marketplace, Data Replication, Data Virtualization, Data Preparation, Machine Learning Data Catalog, and Big Data Integration Platforms
Google Cloud Dataproc is categorized as Big Data Processing and Distribution
Reviews
Reviewers' Company Size
AWS Glue
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Dataproc
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
18.3%
Computer Software
14.1%
Financial Services
6.3%
Hospital & Health Care
5.8%
Computer & Network Security
4.2%
Other
51.3%
Information Technology and Services
26.7%
Retail
13.3%
Marketing and Advertising
6.7%
Hospital & Health Care
6.7%
Higher Education
6.7%
Other
40.0%
Alternatives
Discussions
What does AWS Glue do?
2 Comments
SG
AWS Glue helps you build a data pipeline which can be used for data visualization or storing the data after transforming it in glue using pyspark.
it can...Read more
What are the main components of AWS Glue?
2 Comments
MR
AWS Glue is a fully managed ETL (Extract, Transform, Load) service that simplifies the process of preparing and loading data for analytics. Its...Read more
What are the features of glue?
1 Comment
RV
AWS Glue is a fully managed extract, transform, and load (ETL) service offered by Amazon Web Services.
Features of AWS glue are
1.Data Catalog: AWS Glue...Read more
Google Cloud Dataproc has no discussions with answers
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