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Compare AWS Glue and Denodo 
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At a Glance
Market Segments
Enterprise (47.3% of reviews)
Enterprise (55.6% 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 GlueDenodo
Star Rating
(44)4.3 out of 5
Market Segments
Enterprise (55.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about DenodoSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Denodo excels in "Data Virtualization" capabilities, allowing for seamless integration of disparate data sources without the need for data replication, while AWS Glue is praised for its "ETL Automation" features that simplify the data preparation process.
- Reviewers mention that Denodo's "Dynamic Data Masking" feature provides robust data governance, ensuring sensitive information is protected, whereas AWS Glue's "Data Catalog" is highlighted for its ability to automatically discover and organize data, making it easier for users to find and utilize data assets.
- G2 users indicate that Denodo's "Real-Time Analytics" capabilities are superior, enabling businesses to make timely decisions based on live data, while AWS Glue is noted for its "Serverless Architecture," which allows users to scale resources automatically based on demand.
- Users on G2 say that Denodo's "User Access Management" is highly customizable, providing granular control over data access, while AWS Glue's "Integration with AWS Services" is frequently mentioned as a strong point, allowing for seamless connectivity with other AWS tools.
- Reviewers mention that Denodo's "Data Quality and Cleansing" features are robust, helping organizations maintain high data integrity, while AWS Glue's "Job Scheduling" capabilities are appreciated for their ease of use, allowing users to automate data workflows efficiently.
- Users report that Denodo's "Metadata Management" is comprehensive, providing detailed insights into data lineage and usage, whereas AWS Glue's "Cost-Effective Pay-as-You-Go Pricing" model is often highlighted as a significant advantage for businesses looking to manage their budgets effectively.
Pricing
Entry-Level Pricing
AWS Glue
No pricing availableDenodo
No pricing availableFree Trial
AWS Glue
Free Trial is available
Denodo
Free Trial is available
Ratings
Meets Requirements
8.5
151
8.4
30
Ease of Use
8.4
154
8.7
30
Ease of Setup
8.6
69
8.2
18
Ease of Admin
8.3
64
7.5
16
Quality of Support
8.4
149
8.2
27
Has the product been a good partner in doing business?
8.8
64
8.9
16
Product Direction (% positive)
9.0
150
9.1
26
Features by Category
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
Not enough data
Not enough data
Self Service
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
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
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
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
6.9
8
Not enough data
Administration
9.1
23
8.8
20
9.0
23
8.2
18
9.1
25
8.1
18
Federation
9.1
24
8.2
18
9.2
23
8.1
18
8.9
22
8.3
17
8.9
22
8.9
15
Transformation
8.7
24
9.0
17
9.1
23
8.0
18
8.6
24
8.8
18
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
Data Management
Not enough data
9.3
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.0
5
Analytics
Not enough data
Not enough data
Security
Not enough data
8.7
5
Not enough data
8.7
5
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Fabric
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 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
Not enough data
Not enough data
Integration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
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
Deployment & Integration - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Connectivity & Federation - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling & Metrics - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Governance - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Intelligence - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Enablement - Semantic Layer Tools
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integrations
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
Processing
Not enough data
Not enough data
Not enough data
Not enough data
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 Denodo are categorized as Data Virtualization, Machine Learning Data Catalog, and Big Data Integration Platforms
Unique Categories
Denodo is categorized as Data Fabric, Big Data Processing and Distribution, Data Warehouse, and Semantic Layer Tools
Reviews
Reviewers' Company Size
AWS Glue
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Denodo
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%
Insurance
16.7%
Banking
13.9%
Information Technology and Services
11.1%
Financial Services
11.1%
Higher Education
5.6%
Other
41.7%
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
Denodo has no discussions with answers
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