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Compare Fivetran and Informatica Data Engineering 
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At a Glance
Market Segments
Mid-Market (56.8% of reviews)
Enterprise (57.7% of reviews)
Entry-Level Pricing
Free
No pricing available
Fivetran
Star Rating
(445)4.2 out of 5
Market Segments
Mid-Market (56.8% of reviews)
Entry-Level Pricing
Free
Free Trial is available
Browse all 4 pricing plansInformatica Data Engineering
Star Rating
(27)4.4 out of 5
Market Segments
Enterprise (57.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Informatica Data EngineeringSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Fivetran excels in "Cloud Extraction" with a score of 8.8, making it a preferred choice for organizations looking to seamlessly integrate data from various cloud sources. In contrast, Informatica Data Engineering, while strong in "Transformation" with a score of 7.8, does not match the ease of cloud integration that Fivetran offers.
- Reviewers mention that Fivetran's "Automation" capabilities are highly rated at 8.9, allowing for efficient data workflows without manual intervention. On the other hand, Informatica Data Engineering, with a score of 7.8 in the same category, may require more manual oversight, which can slow down processes.
- G2 users highlight Fivetran's "Diverse Extraction Points" feature, scoring 8.4, as a significant advantage, enabling users to pull data from a wide range of sources effortlessly. Conversely, Informatica Data Engineering, while offering solid extraction capabilities, does not provide the same breadth of options, which can limit flexibility for users.
- Users on G2 report that Fivetran's "Ease of Setup" is rated at 9.1, indicating a user-friendly onboarding process. In contrast, Informatica Data Engineering lacks this level of simplicity, which can lead to longer implementation times and a steeper learning curve for new users.
- Reviewers mention that Fivetran's "Quality of Support" is rated at 8.0, which, while decent, is lower than Informatica Data Engineering's score of 8.6. This suggests that users may find more responsive and helpful support when using Informatica, which can be crucial during critical data operations.
- Users say that Fivetran's "Data Cleaning" feature, with a score of 7.0, is an area for improvement, as it may not meet the expectations of users needing robust data quality tools. In contrast, Informatica Data Engineering shines in this area, providing more comprehensive data management features that help ensure data integrity.
Pricing
Entry-Level Pricing
Fivetran
Free Plan
Free
For individuals automating ELT for small volumes of data.
- Access Standard Plan features, free up to 500,000 monthly active rows (MAR)
- Commitment free: No credit card required
Informatica Data Engineering
No pricing availableFree Trial
Fivetran
Free Trial is available
Informatica Data Engineering
No trial information availableRatings
Meets Requirements
8.4
319
8.9
6
Ease of Use
8.9
325
8.9
6
Ease of Setup
9.1
245
Not enough data
Ease of Admin
8.8
211
Not enough data
Quality of Support
8.0
298
8.6
6
Has the product been a good partner in doing business?
8.3
207
Not enough data
Product Direction (% positive)
7.6
282
Not enough data
Features by Category
Functionality
8.4
150
Not enough data
8.5
144
Not enough data
8.3
128
Not enough data
7.1
115
Not enough data
8.7
137
Not enough data
6.4
110
Not enough data
Diverse Extraction Points
8.4
150
Not enough data
Management
7.5
97
Not enough data
7.0
91
Not enough data
Functionality
8.9
119
Not enough data
7.8
108
Not enough data
8.9
117
Not enough data
8.8
115
Not enough data
8.5
114
Not enough data
Management
7.2
65
Not enough data
8.2
58
Not enough data
8.5
76
Not enough data
8.0
81
Not enough data
Solution Provision
7.2
54
Not enough data
8.3
70
Not enough data
7.5
53
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
Fivetran and Informatica Data Engineering are categorized as ETL Tools
Unique Categories
Fivetran is categorized as Data Replication and Data Extraction
Informatica Data Engineering is categorized as On-Premise Data Integration
Reviews
Reviewers' Company Size
Fivetran
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Informatica Data Engineering
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
15.0%
Information Technology and Services
13.3%
Financial Services
9.3%
Retail
5.4%
Marketing and Advertising
5.4%
Other
51.6%
Computer Software
15.4%
Information Technology and Services
11.5%
Insurance
7.7%
Health, Wellness and Fitness
7.7%
Financial Services
7.7%
Other
50.0%
Alternatives
Discussions
Is Fivetran an ETL tool?
2 Comments
NV
Fivetran is an ELT Tool, specifically for Extracting the data from source and Loading the data into the Destination. This tool works in conjunction with...Read more
Can I reuse a google sheet's name that I just deleted?
1 Comment
JL
Hi Gabriel,
Thanks for reaching out. Yes, this should work. Please let us know if you run into any issues.
Cheers,
Joseph Read more
Can Fivetran implement a feature to auto download / refresh data into a spreadsheet ? That would be great.
1 Comment
JL
Hi George,
Thanks for reaching out. All feature requests are logged via our Support Portal. Please submit your feature request here:...Read more
Informatica Data Engineering has no discussions with answers
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