Compare AWS Data Pipeline and Integrate.io 
At a Glance
Market Segments
Mid-Market (61.9% of reviews)
Mid-Market (50.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS Data Pipeline
Star Rating
(24)4.1 out of 5
Market Segments
Mid-Market (61.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about AWS Data PipelineIntegrate.io
Star Rating
(209)4.3 out of 5
Market Segments
Mid-Market (50.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Integrate.ioAWS Data Pipeline vs Integrate.io
When assessing the two solutions, reviewers found AWS Data Pipeline easier to use. However, Integrate.io is easier to set up and administer. Reviewers also preferred doing business with Integrate.io overall.
- Reviewers felt that AWS Data Pipeline meets the needs of their business better than Integrate.io.
- When comparing quality of ongoing product support, reviewers felt that Integrate.io is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Integrate.io over AWS Data Pipeline.
Pricing
Entry-Level Pricing
AWS Data Pipeline
No pricing availableIntegrate.io
No pricing availableFree Trial
AWS Data Pipeline
No trial information availableIntegrate.io
Free Trial is available
Ratings
Meets Requirements
9.1
18
8.4
183
Ease of Use
8.6
18
8.4
184
Ease of Setup
6.9
7
8.7
105
Ease of Admin
6.9
7
8.7
96
Quality of Support
8.3
17
9.3
181
Has the product been a good partner in doing business?
7.4
7
9.2
95
Product Direction (% positive)
6.1
18
8.0
178
Features by Category
Management
Not enough data
7.9
50
Not enough data
7.8
48
Functionality
Not enough data
8.9
65
Not enough data
8.8
65
Not enough data
8.9
67
Not enough data
9.1
65
Not enough data
8.3
61
Management
Not enough data
8.7
22
Not enough data
9.3
23
Not enough data
8.9
24
Not enough data
9.0
21
Solution Provision
Not enough data
8.9
20
Not enough data
8.3
20
Not enough data
9.3
19
Development
Not enough data
8.1
7
Not enough data
8.9
6
|
Verified
Not enough data
9.4
6
|
Verified
Not enough data
9.4
6
|
Verified
Not enough data
7.8
6
|
Verified
Not enough data
10.0
5
Not enough data
8.7
5
Management
Not enough data
8.3
6
|
Verified
Not enough data
8.3
6
|
Verified
Not enough data
9.5
7
|
Verified
Not enough data
8.9
6
|
Verified
Not enough data
8.8
7
Security
Not enough data
8.1
6
|
Verified
Not enough data
9.2
6
|
Verified
Not enough data
9.0
5
|
Verified
Integration Options
Not enough data
7.3
5
|
Verified
Not enough data
9.0
5
|
Verified
Not enough data
9.3
5
|
Verified
Not enough data
9.7
5
|
Verified
Deployment
Not enough data
7.7
5
Not enough data
8.8
7
Development
Not enough data
8.9
20
Not enough data
7.7
18
Management
Not enough data
8.4
17
Not enough data
8.8
18
Integration Options
Not enough data
8.3
16
Not enough data
7.7
13
Not enough data
8.7
18
Not enough data
7.9
11
Data Management
Not enough data
7.8
10
Not enough data
7.5
8
Not enough data
7.8
10
Not enough data
9.0
10
Not enough data
8.0
9
Functionality
Not enough data
6.8
11
Not enough data
8.2
11
Not enough data
7.4
11
Not enough data
7.6
9
Not enough data
8.7
9
Not enough data
8.0
10
Not enough data
8.1
8
Security
Not enough data
8.5
9
Not enough data
8.1
9
Generative AI
Not enough data
Not enough data
Functionality
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
8.1
7
Not enough data
7.8
6
Management
Not enough data
8.6
6
Not enough data
8.3
6
Not enough data
7.8
6
Not enough data
8.3
6
Not enough data
8.6
6
Generative AI
Not enough data
Not enough data
Agentic AI - Data Observability
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
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 and Integrate.io are categorized as ETL Tools
Unique Categories
AWS Data Pipeline has no unique categories
Integrate.io is categorized as Data Observability, Reverse ETL, Data Replication, Big Data Integration Platforms, E-Commerce Data Integration, and iPaaS
Reviews
Reviewers' Company Size
AWS Data Pipeline
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Integrate.io
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
23.8%
Telecommunications
14.3%
Information Technology and Services
9.5%
Financial Services
9.5%
Sports
4.8%
Other
38.1%
Information Technology and Services
16.9%
Computer Software
13.0%
Marketing and Advertising
7.7%
Internet
5.3%
Financial Services
3.9%
Other
53.1%
Discussions
AWS Data Pipeline has no discussions with answers
Who uses Xplenty?
2 Comments
JC
We use Xplenty as a Private Equity firm to run dashboards across all our companies via Google Data Studio. Works great to quickly orientate to each business...Read more
Is my data private and safe in Xplenty?
1 Comment
Official Response from Integrate.io
Absolutely. At Xplenty, safety is our number one priority. That’s why we have SSL/TLS data encryption, physical security, firewalls, and more to ensure that...Read more
What if the data source that I’m looking for isn’t available?
1 Comment
Official Response from Integrate.io
If you don’t see the data source that you’re looking for in our integration pages, let us know and we will create it for you.Read more
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