Introducing G2.ai, the future of software buying.Try now
Compare AWS Glue and AWS Lake Formation 
At a Glance
Market Segments
Enterprise (47.3% of reviews)
Small-Business (43.8% 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)
Entry-Level Pricing
No pricing available
Learn more about AWS GlueAWS Lake Formation
Star Rating
(37)4.4 out of 5
Market Segments
Small-Business (43.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about AWS Lake FormationSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that AWS Glue excels in data transformation with a score of 8.8, allowing for efficient ETL processes, while AWS Lake Formation, although strong, has a slightly lower score of 8.6 in this area. Reviewers mention that Glue's data transformation capabilities are particularly user-friendly and effective for large datasets.
- Reviewers mention that AWS Lake Formation shines in data governance, scoring 9.0 in user access management, compared to AWS Glue's score of 8.5. Users on G2 appreciate Lake Formation's robust dynamic data masking features, which enhance security and compliance.
- G2 users highlight that AWS Glue offers superior real-time analytics capabilities with a score of 9.1, making it a preferred choice for businesses needing immediate insights. In contrast, AWS Lake Formation scores 8.6 in this area, with users noting that while it provides good analytics, it may not match Glue's performance.
- Users say that AWS Lake Formation provides a more comprehensive data source access experience, scoring 8.5 for breadth of data sources, while AWS Glue scores 8.4. Reviewers mention that Lake Formation's ability to connect to various data sources seamlessly is a significant advantage for data integration.
- Reviewers mention that AWS Glue's automation features are highly rated at 8.7, allowing for streamlined workflows, whereas AWS Lake Formation's automation capabilities are slightly lower at 8.5. Users report that Glue's automation tools significantly reduce manual intervention, enhancing productivity.
- Users on G2 report that AWS Lake Formation's security and compliance features are robust, with a score of 8.7, which is on par with AWS Glue. However, Lake Formation's focus on data encryption and compliance management is often highlighted as a key differentiator, making it a strong choice for organizations with stringent security requirements.
Featured Products
Sponsored
Savant Labs
(33)
Big Data Processing and Distribution
Visit Website
Sponsored
SolveXia
(30)
Big Data Processing and Distribution
Visit Website
Sponsored
Help Desk Migration Services
(169)
Big Data Processing and Distribution
Visit Website
Pricing
Entry-Level Pricing
AWS Glue
No pricing availableAWS Lake Formation
No pricing availableFree Trial
AWS Glue
Free Trial is available
AWS Lake Formation
Free Trial is available
Ratings
Meets Requirements
8.5
151
8.8
26
Ease of Use
8.4
154
8.6
26
Ease of Setup
8.6
69
8.2
11
Ease of Admin
8.3
64
8.0
9
Quality of Support
8.4
149
8.3
25
Has the product been a good partner in doing business?
8.8
64
9.0
8
Product Direction (% positive)
9.0
150
10.0
22
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
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
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
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
8.0
11
Not enough data
8.6
11
Not enough data
8.6
12
Integrations
Not enough data
8.0
9
Not enough data
8.7
10
Platform
Not enough data
8.3
7
Not enough data
7.6
7
Not enough data
8.7
10
Processing
Not enough data
8.5
8
Not enough data
8.5
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 AWS Lake Formation are categorized as Big Data Integration Platforms
Unique Categories
AWS Glue is categorized as AWS Marketplace, Data Replication, Data Virtualization, Data Preparation, Machine Learning Data Catalog, and ETL Tools
AWS Lake Formation 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.)
AWS Lake Formation
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
25.0%
Banking
9.4%
Retail
6.3%
Management Consulting
6.3%
Higher Education
6.3%
Other
46.9%
Most Helpful Reviews
AWS Glue
Most Helpful Favorable Review
Shubham G.
Verified User in Hospital & Health Care
They are upgrading the things and making it more suitable.
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.
AWS Lake Formation
Most Helpful Favorable Review
Ankush P.
Verified User in Information Technology and Services
Very Convenient converts data into formats such as Parquet and ORC for faster analytics & uses built-in ML to de-duplicate and find matching records.
Most Helpful Critical Review
Verified User in Medical Practice
Na as of now in feature if any i will udate
Shubham G.
Verified User in Hospital & Health Care
They are upgrading the things and making it more suitable.
Ankush P.
Verified User in Information Technology and Services
Very Convenient converts data into formats such as Parquet and ORC for faster analytics & uses built-in ML to de-duplicate and find matching records.
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 Medical Practice
Na as of now in feature if any i will udate
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
AWS Lake Formation has no discussions with answers
Hunting for software insights?
With over 2.5 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
