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Compare AWS Data Pipeline and AWS Glue

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At a Glance
AWS Data Pipeline
AWS Data Pipeline
Star Rating
(25)4.1 out of 5
Market Segments
Mid-Market (59.1% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about AWS Data Pipeline
AWS Glue
AWS Glue
Star Rating
(194)4.3 out of 5
Market Segments
Enterprise (47.3% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about AWS Glue
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, while AWS Data Pipeline lags behind with a score of 6.9. Reviewers mention that Glue's serverless architecture simplifies the initial configuration process significantly.
  • Reviewers mention that AWS Glue has a higher score in data transformation capabilities (8.8) compared to AWS Data Pipeline (8.9). Users say that Glue's built-in transformations and integration with machine learning services make it a more versatile choice for data preparation.
  • G2 users highlight that AWS Glue offers superior data governance features, particularly in user access management (8.5) and dynamic data masking (8.8), compared to AWS Data Pipeline, which has lower ratings in these areas. Reviewers say that Glue's governance tools help maintain compliance and security more effectively.
  • Users on G2 report that AWS Data Pipeline shines in its reporting capabilities, scoring 8.7, while AWS Glue scores slightly lower at 8.4. Reviewers mention that Data Pipeline's detailed activity monitoring and documentation features provide better insights into data workflows.
  • Reviewers mention that AWS Glue's integration capabilities are robust, with a score of 8.5 for breadth of integrations, while AWS Data Pipeline scores lower in this area. Users say that Glue's ability to connect seamlessly with various AWS services enhances its functionality.
  • Users report that AWS Glue has a better overall product direction score (9.0) compared to AWS Data Pipeline (6.1). Reviewers mention that Glue's continuous updates and feature enhancements reflect a strong commitment to evolving with user needs.
Featured Products
Pricing
Entry-Level Pricing
AWS Data Pipeline
No pricing available
AWS Glue
No pricing available
Free Trial
AWS Data Pipeline
No trial information available
AWS Glue
Free Trial is available
Ratings
Meets Requirements
9.0
19
8.5
151
Ease of Use
8.5
19
8.4
154
Ease of Setup
6.9
8
8.6
69
Ease of Admin
6.9
7
8.3
64
Quality of Support
8.3
18
8.4
149
Has the product been a good partner in doing business?
7.4
7
8.8
64
Product Direction (% positive)
6.3
19
9.0
150
Features by Category
Machine Learning Data CatalogHide 21 FeaturesShow 21 Features
Not enough data
8.7
19
Data Governance
Not enough data
8.5
16
Not enough data
8.8
14
Not enough data
8.7
14
Data Preparation
Not enough data
8.2
17
Not enough data
8.9
15
Not enough data
8.9
16
Not enough data
8.8
18
Collaboration
Not enough data
8.2
16
Not enough data
9.0
16
Not enough data
8.9
16
Not enough data
8.6
18
Artificial Intelligence
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
Not enough data
8.4
68
Data Source Access
Not enough data
8.5
60
Not enough data
8.4
59
Not enough data
8.5
56
Data Interaction
Not enough data
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
Data Exporting
Not enough data
8.5
57
Not enough data
8.2
58
Not enough data
8.3
60
Generative AI
Not enough data
6.9
8
Not enough data
9.0
28
Administration
Not enough data
9.1
23
Not enough data
9.0
23
Not enough data
9.1
25
Federation
Not enough data
9.1
24
Not enough data
9.2
23
Not enough data
8.9
22
Not enough data
8.9
22
Transformation
Not enough data
8.7
24
Not enough data
9.1
23
Not enough data
8.6
24
Not enough data
8.9
75
Management
Not enough data
8.7
61
Not enough data
8.7
56
Functionality
Not enough data
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
9.1
22
Management
Not enough data
9.1
18
Not enough data
9.0
19
Not enough data
9.1
18
Not enough data
9.1
17
Solution Provision
Not enough data
9.0
16
Not enough data
8.8
15
Not enough data
8.9
16
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
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 Data Pipeline
AWS Data Pipeline
AWS Glue
AWS Glue
AWS Data Pipeline and AWS Glue are categorized as ETL Tools
Unique Categories
AWS Data Pipeline
AWS Data Pipeline has no unique categories
Reviews
Reviewers' Company Size
AWS Data Pipeline
AWS Data Pipeline
Small-Business(50 or fewer emp.)
13.6%
Mid-Market(51-1000 emp.)
59.1%
Enterprise(> 1000 emp.)
27.3%
AWS Glue
AWS Glue
Small-Business(50 or fewer emp.)
23.7%
Mid-Market(51-1000 emp.)
29.0%
Enterprise(> 1000 emp.)
47.3%
Reviewers' Industry
AWS Data Pipeline
AWS Data Pipeline
Computer Software
22.7%
Telecommunications
13.6%
Information Technology and Services
13.6%
Financial Services
9.1%
Sports
4.5%
Other
36.4%
AWS Glue
AWS Glue
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%
Most Helpful Reviews
AWS Data Pipeline
AWS Data Pipeline
Most Helpful Favorable Review
Jay P.
JP
Jay P.
Verified User in Automotive

Awesome speed - super cool tool to work with

Most Helpful Critical Review
Verified User in Internet
GI
Verified User in Internet

It really should be redesigned as a json blob is a terrible way to organize SQL jobs. Why can't things be scheduled like a calendar or meeting request?

AWS Glue
AWS Glue
Most Helpful Favorable Review
Verified User
G
Verified User in Financial Services

Aws glue have many capabilities like crawlers, catalogue and specially glue jobs for ETL processing.

Most Helpful Critical Review
Sonali A.
SA
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.

Alternatives
AWS Data Pipeline
AWS Data Pipeline Alternatives
Azure Data Factory
Azure Data Factory
Add Azure Data Factory
Apache NiFi
Apache NiFi
Add Apache NiFi
Fivetran
Fivetran
Add Fivetran
Workato
Workato
Add Workato
AWS Glue
AWS Glue Alternatives
Fivetran
Fivetran
Add Fivetran
Hevo Data
Hevo Data
Add Hevo Data
Alteryx
Alteryx
Add Alteryx
Snowflake
Snowflake
Add Snowflake
Discussions
AWS Data Pipeline
AWS Data Pipeline Discussions
Monty the Mongoose crying
AWS Data Pipeline has no discussions with answers
AWS Glue
AWS Glue Discussions
What does AWS Glue do?
2 comments
Saurabh G.
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
Mohammed R.
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
Rohit V.
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