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Compare AWS Glue and IBM Watson Studio 
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At a Glance
Market Segments
Enterprise (47.3% of reviews)
Enterprise (51.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS Glue
Star Rating
(194)4.3 out of 5
Market Segments
Enterprise (47.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about AWS GlueIBM Watson Studio
Star Rating
(164)4.2 out of 5
Market Segments
Enterprise (51.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Watson StudioSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that AWS Glue excels in Ease of Setup with a score of 8.6, making it a preferred choice for teams looking to quickly implement data integration solutions. In contrast, IBM Watson Studio has a lower score of 7.6 in this area, indicating a steeper learning curve for new users.
- Reviewers mention that AWS Glue's Data Cataloging feature is highly rated at 9.7, which allows for efficient data management and discovery. On the other hand, IBM Watson Studio also performs well with a score of 9.2, but users feel that AWS Glue provides a more comprehensive solution for large datasets.
- G2 users highlight AWS Glue's superior Data Lineage capabilities, scoring 8.7, which helps organizations track data flow and transformations effectively. Conversely, IBM Watson Studio, while strong in this area, scores slightly lower, leading some users to prefer AWS Glue for complex data environments.
- Reviewers mention that IBM Watson Studio shines in Ease of Data Connectivity with a score of 9.3, making it easier to connect to various data sources. AWS Glue, while still strong at 8.4, does not match the breadth of connectivity options that Watson Studio offers.
- Users on G2 report that AWS Glue's Real-Time Analytics feature is rated at 9.1, which is crucial for businesses needing immediate insights. IBM Watson Studio, while capable, does not reach the same level of performance in this area, scoring lower.
- Reviewers mention that IBM Watson Studio's Machine Learning Services are particularly robust, with high scores in Natural Language Processing and Deep Learning, making it a strong contender for AI-driven projects. AWS Glue, while effective for ETL processes, does not offer the same depth in machine learning capabilities.
Pricing
Entry-Level Pricing
AWS Glue
No pricing availableIBM Watson Studio
No pricing availableFree Trial
AWS Glue
Free Trial is available
IBM Watson Studio
No trial information availableRatings
Meets Requirements
8.5
151
8.3
121
Ease of Use
8.4
154
8.0
122
Ease of Setup
8.6
69
7.6
100
Ease of Admin
8.3
64
7.8
95
Quality of Support
8.4
149
8.2
113
Has the product been a good partner in doing business?
8.8
64
8.0
94
Product Direction (% positive)
9.0
150
8.5
115
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
9.0
13
8.4
59
9.3
12
8.5
56
9.2
14
Data Interaction
8.3
56
9.0
14
8.5
60
9.2
12
8.3
60
9.4
12
8.8
60
9.1
13
8.6
54
9.2
12
8.9
59
9.2
13
8.6
56
9.1
13
8.2
57
9.6
12
Data Exporting
8.5
57
9.4
12
8.2
58
9.2
12
8.3
60
9.2
12
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
8.8
69
Not enough data
9.2
68
Not enough data
8.7
65
Not enough data
8.8
65
Not enough data
Deployment
Not enough data
8.8
8
Not enough data
9.2
8
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
8.8
8
Deployment
Not enough data
9.0
8
Not enough data
8.8
8
Not enough data
8.8
8
Not enough data
9.4
8
Not enough data
9.2
8
Management
Not enough data
9.3
7
Not enough data
9.6
8
Not enough data
9.0
7
Not enough data
9.0
8
Operations
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
9.3
7
Management
Not enough data
9.5
7
Not enough data
9.4
8
Not enough data
8.8
7
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
Not enough data
9.0
12
Model Development
Not enough data
8.5
33
Not enough data
8.8
34
Not enough data
8.5
35
Not enough data
8.3
36
Model Development
Not enough data
9.4
13
Machine/Deep Learning Services
Not enough data
8.5
27
Not enough data
8.5
34
Not enough data
Feature Not Available
Not enough data
8.6
28
Machine/Deep Learning Services
Not enough data
8.9
12
Not enough data
9.0
12
Deployment
Not enough data
8.5
32
Not enough data
8.6
33
Not enough data
8.6
30
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
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
Setup
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
9.7
6
Data
Not enough data
8.6
7
Not enough data
8.6
7
Analysis
Not enough data
9.7
6
Not enough data
8.1
7
Not enough data
8.1
7
Not enough data
8.3
7
Not enough data
8.8
7
Not enough data
8.1
7
Not enough data
7.9
7
Customization
Not enough data
9.0
7
Not enough data
8.1
7
Not enough data
9.2
6
Generative AI
Not enough data
Not enough data
Not enough data
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
Statistical Tool
Not enough data
8.0
14
Not enough data
8.4
15
Not enough data
8.1
15
Data Analysis
Not enough data
8.7
15
Not enough data
9.0
14
Decision Making
Not enough data
8.6
14
Not enough data
8.6
15
Not enough data
8.3
13
Not enough data
8.7
14
Generative AI
Not enough data
9.3
5
Not enough data
8.3
5
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
Categories
Categories
Shared Categories
AWS Glue and IBM Watson Studio are categorized as Data Preparation
Unique Categories
AWS Glue is categorized as AWS Marketplace, Data Replication, Data Virtualization, Machine Learning Data Catalog, Big Data Integration Platforms, and ETL Tools
IBM Watson Studio is categorized as Text Analysis, Data Science and Machine Learning Platforms, Predictive Analytics, and MLOps Platforms
Reviews
Reviewers' Company Size
AWS Glue
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Watson Studio
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
17.7%
Computer Software
14.5%
Financial Services
6.5%
Hospital & Health Care
5.4%
Computer & Network Security
4.3%
Other
51.6%
Information Technology and Services
15.8%
Computer Software
13.3%
Telecommunications
8.2%
Banking
7.6%
Education Management
5.7%
Other
49.4%
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
IBM Watson Studio has no discussions with answers
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