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Compare AWS Config and Optimizely Web Experimentation 
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At a Glance
Market Segments
Enterprise (39.1% of reviews)
Mid-Market (47.8% of reviews)
Entry-Level Pricing
No pricing available
Contact Vendor
AWS Config
Star Rating
(51)4.4 out of 5
Market Segments
Enterprise (39.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about AWS ConfigOptimizely Web Experimentation
Star Rating
(408)4.2 out of 5
Market Segments
Mid-Market (47.8% of reviews)
Entry-Level Pricing
Contact Vendor
Learn more about Optimizely Web ExperimentationSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Optimizely Web Experimentation excels in A/B Testing with a score of 8.8, allowing for robust experimental design and multivariate testing capacities, which reviewers mention as essential for optimizing user experiences.
- Reviewers mention that AWS Config shines in Ease of Admin with a score of 9.1, indicating that users find it straightforward to manage configurations and compliance, which is crucial for maintaining security and governance in cloud environments.
- G2 users highlight that Optimizely's Data Enrichment feature scores an impressive 9.3, enabling users to enhance their customer profiles effectively, while AWS Config lacks similar capabilities, focusing more on resource compliance than customer insights.
- Users on G2 report that AWS Config has a higher Quality of Support rating at 8.9 compared to Optimizely's 8.0, suggesting that AWS provides more reliable assistance, which is vital for users navigating complex cloud configurations.
- Reviewers say that Optimizely's Rollout & Rollback Control feature, scoring 8.6, is particularly beneficial for managing experiments, allowing users to easily revert changes, while AWS Config does not offer similar functionality for experimentation.
- Users report that while Optimizely provides a strong focus on personalization with a score of 8.1 for its Personalization Engine, AWS Config does not cater to this area, as it is primarily designed for compliance and resource management rather than user engagement.
Pricing
Entry-Level Pricing
AWS Config
No pricing availableOptimizely Web Experimentation
Enterprise
Contact Vendor
Customized For Your Business.
Free Trial
AWS Config
No trial information availableOptimizely Web Experimentation
No trial information availableRatings
Meets Requirements
9.1
34
8.4
296
Ease of Use
8.7
35
8.1
309
Ease of Setup
8.6
22
8.0
155
Ease of Admin
9.1
20
8.2
124
Quality of Support
8.9
34
8.0
252
Has the product been a good partner in doing business?
8.9
19
7.9
119
Product Direction (% positive)
10.0
34
7.8
271
Features by Category
Visitor Behavior
Not enough data
7.8
24
|
Verified
Not enough data
8.5
26
|
Verified
Not enough data
7.6
22
|
Verified
Templates
Not enough data
7.8
24
|
Verified
Not enough data
8.3
23
|
Verified
Not enough data
8.4
24
|
Verified
Personalization
Not enough data
7.6
23
|
Verified
Not enough data
7.7
26
|
Verified
Not enough data
7.9
21
|
Verified
Not enough data
Feature Not Available
Not enough data
7.5
20
|
Verified
Not enough data
7.0
19
|
Verified
Not enough data
9.0
24
|
Verified
Not enough data
8.6
22
|
Verified
Multichannel
Not enough data
8.5
26
|
Verified
Not enough data
6.9
20
|
Verified
Not enough data
8.9
25
|
Verified
Administration
Not enough data
8.0
22
|
Verified
Not enough data
8.5
22
|
Verified
Not enough data
8.2
22
|
Verified
Not enough data
8.1
23
|
Verified
Agentic AI - E-Commerce Personalization
Not enough data
Not enough data
Not enough data
Not enough data
Segmentation
Not enough data
8.8
21
Not enough data
8.1
14
Targeting
Not enough data
7.6
21
Not enough data
7.8
20
Triggered Content
Not enough data
7.8
16
Not enough data
Feature Not Available
Not enough data
7.4
13
Personalized Content
Not enough data
8.0
15
Not enough data
8.1
16
Not enough data
8.7
18
Agentic AI - Personalization Engines
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 Sourcing
Not enough data
9.3
5
Not enough data
8.0
5
Not enough data
Not enough data
Not enough data
7.2
6
Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
8.3
24
Not enough data
8.3
25
Not enough data
8.0
23
Functionality
Not enough data
8.0
25
Not enough data
8.5
26
Not enough data
7.6
26
Computing
Not enough data
7.9
67
Not enough data
6.4
61
Not enough data
6.9
72
Experimental Design
Not enough data
8.4
70
Not enough data
8.7
69
Not enough data
8.7
69
Analytics
Not enough data
8.2
68
Not enough data
5.8
62
Agentic AI - A/B Testing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Personalization
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 Config and Optimizely Web Experimentation are categorized as Configuration Management
Unique Categories
AWS Config has no unique categories
Optimizely Web Experimentation is categorized as Feature Management, Personalization Engines, E-Commerce Personalization, Customer Data Platform (CDP), A/B Testing, and Personalization
Reviews
Reviewers' Company Size
AWS Config
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Optimizely Web Experimentation
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
Computer Software
17.4%
Computer & Network Security
8.7%
Telecommunications
6.5%
Information Technology and Services
6.5%
Hospital & Health Care
6.5%
Other
54.3%
Computer Software
11.1%
Information Technology and Services
9.3%
Financial Services
9.1%
Retail
8.1%
Marketing and Advertising
8.1%
Other
54.4%
Alternatives
Discussions
What is AWS Config used for?
1 Comment
US
It is a sso , you can use to authenticate access to your aws account. Example- You can use it to authenticate pull and push changes in repository from local...Read more
AWS Config has no more discussions with answers
How does A/B Testing work?
1 Comment
TS
A/B testing is when you have a least two variations of something you want to test. Typically you have a control (which may be the current variant) and then...Read more
What are some ways that I can use A/B testing?
1 Comment
TS
Testing is ongoing and endless. We test new features such as additional form fields in a lead form. We test multiple CTAs to decide which produces the best...Read more
Optimizely Web Experimentation has no more discussions with answers
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