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- AWS Glue-vs-IBM InfoSphere Master Data Management
Compare AWS Glue and IBM InfoSphere Master Data Management 
At a Glance
Market Segments
Enterprise (47.6% of reviews)
Enterprise (65.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS Glue
Star Rating
(193)4.2 out of 5
Market Segments
Enterprise (47.6% of reviews)
Entry-Level Pricing
No pricing available
Learn more about AWS GlueIBM InfoSphere Master Data Management
Star Rating
(40)4.1 out of 5
Market Segments
Enterprise (65.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about IBM InfoSphere Master Data ManagementFeatured Products
Sponsored
Intellimas
(0)
Master Data Management (MDM)
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Sponsored
Syncari
(42)
Master Data Management (MDM)
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Sponsored
Help Desk Migration Services
(166)
Master Data Management (MDM)
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AWS Glue vs IBM InfoSphere Master Data Management
When assessing the two solutions, reviewers found AWS Glue easier to use, set up, and administer. Reviewers also preferred doing business with AWS Glue overall.
- AWS Glue and IBM InfoSphere Master Data Management both meet the requirements of our reviewers at a comparable rate.
- When comparing quality of ongoing product support, reviewers felt that AWS Glue is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of AWS Glue over IBM InfoSphere Master Data Management.
Pricing
Entry-Level Pricing
AWS Glue
No pricing availableIBM InfoSphere Master Data Management
No pricing availableFree Trial
AWS Glue
Free Trial is available
IBM InfoSphere Master Data Management
No trial information availableRatings
Meets Requirements
8.5
151
8.5
21
Ease of Use
8.4
153
7.5
21
Ease of Setup
8.6
68
6.5
10
Ease of Admin
8.3
64
7.3
11
Quality of Support
8.4
149
8.2
19
Has the product been a good partner in doing business?
8.8
64
7.2
12
Product Direction (% positive)
9.0
150
8.3
21
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
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Source Access
8.5
60
Not enough data
8.4
59
Not enough data
8.5
56
Not enough data
Data Interaction
8.3
56
Not enough data
8.5
60
Not enough data
8.3
60
Not enough data
8.8
60
Not enough data
8.6
54
Not enough data
8.9
59
Not enough data
8.6
56
Not enough data
8.2
57
Not enough data
Data Exporting
8.5
57
Not enough data
8.2
58
Not enough data
8.3
60
Not enough data
Generative AI
Feature Not Available
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
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
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
Functionality
Not enough data
Not enough data
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
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 InfoSphere Master Data Management share no categories
Unique Categories
AWS Glue is categorized as AWS Marketplace, Data Replication, Data Virtualization, Data Preparation, Machine Learning Data Catalog, Big Data Integration Platforms, and ETL Tools
IBM InfoSphere Master Data Management is categorized as Master Data Management (MDM)
Reviews
Reviewers' Company Size
AWS Glue
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM InfoSphere Master Data Management
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
17.8%
Computer Software
14.6%
Financial Services
6.5%
Hospital & Health Care
5.4%
Computer & Network Security
4.3%
Other
51.4%
Insurance
14.3%
Banking
11.4%
Research
5.7%
Information Technology and Services
5.7%
Hospital & Health Care
5.7%
Other
57.1%
Most Helpful Reviews
AWS Glue
Most Helpful Favorable Review
Verified User in Transportation/Trucking/Railroad
It is easily used with spark code, easy logging with cloudwatch and easy to debug.Run time is also very less compared to other etl tools
Most Helpful Critical Review
Sonali A.
Verified User in Information Services
AWS Glue is not user friendly,the transformation components that we have are not useful in different scenarios and we need to use custom transformation for everything,including even very basic operations.
IBM InfoSphere Master Data Management
Most Helpful Favorable Review
Vincent M.
Verified User in Information Technology and Services
The shared metadata between the tools and the ability to cater for technical and business users. In the early days the suite was all about DataStage - a lot of companies only used DataStage and underutilised profiling and metadata lineage. Today there is...
Most Helpful Critical Review
Verified User in Banking
Is not best in class in any of the tools
Verified User in Transportation/Trucking/Railroad
It is easily used with spark code, easy logging with cloudwatch and easy to debug.Run time is also very less compared to other etl tools
Vincent M.
Verified User in Information Technology and Services
The shared metadata between the tools and the ability to cater for technical and business users. In the early days the suite was all about DataStage - a lot of companies only used DataStage and underutilised profiling and metadata lineage. Today there is...
Sonali A.
Verified User in Information Services
AWS Glue is not user friendly,the transformation components that we have are not useful in different scenarios and we need to use custom transformation for everything,including even very basic operations.
Verified User in Banking
Is not best in class in any of the tools
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 InfoSphere Master Data Management has no discussions with answers
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