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At a Glance
Market Segments
Mid-Market (56.4% of reviews)
Mid-Market (64.7% of reviews)
Entry-Level Pricing
Free
Free With One-Time Purchase
Fivetran
Star Rating
(447)4.2 out of 5
Market Segments
Mid-Market (56.4% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 4 pricing plansKeboola
Star Rating
(138)4.6 out of 5
Market Segments
Mid-Market (64.7% of reviews)
Pros & Cons
Entry-Level Pricing
Free With One-Time Purchase
Free Trial is available
Browse all 2 pricing plansFivetran vs Keboola
When assessing the two solutions, reviewers found Fivetran easier to use, set up, and administer. However, reviewers preferred doing business with Keboola overall.
- Reviewers felt that Keboola meets the needs of their business better than Fivetran.
- When comparing quality of ongoing product support, reviewers felt that Keboola is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Keboola over Fivetran.
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
Keboola
Free Tier
Free
With One-Time Purchase
Our Free Tier gives you 60 free computation minutes each month to explore, build, and prototype in Keboola. If you need more, you can manually or automatically top up your account with additional credits at $0.14 per minute.
This plan is ideal for early exploration, data prototyping, and self-paced learning, giving you a full hands-on experience with Keboola’s core capabilities—risk-free.
- Transformations: SQL, Python, R, dbt, No-code, Data Science
- Scheduling & Triggers: Time-based or event-driven job automation
- Monitoring & Alerts: Jobs list, email & webhook notifications
Free Trial
Fivetran
Free Trial is available
Keboola
Free Trial is available
Ratings
Meets Requirements
8.4
322
8.7
110
Ease of Use
9.0
328
8.6
111
Ease of Setup
9.1
248
8.4
81
Ease of Admin
8.8
212
8.1
57
Quality of Support
8.0
301
9.5
108
Has the product been a good partner in doing business?
8.3
208
9.0
57
Product Direction (% positive)
7.7
285
8.9
105
Features by Category
Data Integration
Not enough data
8.3
21
Not enough data
8.2
21
Not enough data
8.0
21
Not enough data
7.5
19
Not enough data
6.1
18
Not enough data
8.1
20
Agentic AI - Data Management Platform (DMP)
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 Analysis & Optimization
Not enough data
7.5
21
Not enough data
6.8
19
Not enough data
5.3
20
Not enough data
6.1
20
Platform
Not enough data
7.3
20
Not enough data
7.7
21
Not enough data
8.7
21
Not enough data
8.8
20
Not enough data
7.0
19
Functionality
8.4
151
8.7
67
8.5
145
8.5
67
8.4
129
8.8
64
7.1
116
8.0
70
8.7
138
9.1
65
6.4
111
5.2
54
Diverse Extraction Points
8.4
151
8.7
67
Management
7.5
98
7.1
62
7.1
92
7.2
55
Functionality
8.9
122
9.1
73
7.7
110
9.2
74
8.9
119
8.9
73
8.9
116
9.1
73
8.5
115
8.5
70
Management
7.2
66
6.8
15
8.2
59
7.6
19
8.5
77
8.4
19
8.0
82
7.7
19
Solution Provision
7.3
55
7.1
16
8.3
71
8.0
17
7.6
54
Feature Not Available
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
Not enough data
Not enough data
Integration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Development
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
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
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration Options
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Feature Not Available
Not enough data
Not enough data
Data Management
Not enough data
9.0
16
Not enough data
7.6
16
Not enough data
9.2
16
Not enough data
8.6
16
Agentic AI - DataOps Platforms
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
Analytics
Not enough data
7.5
14
Not enough data
5.4
14
Monitoring and Management
Not enough data
8.4
16
Not enough data
7.7
15
Cloud Deployment
Not enough data
7.8
12
Not enough data
8.2
13
Generative AI
Not enough data
3.5
9
Not enough data
4.4
9
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
Data Transformation
Not enough data
Not enough data
Not enough data
Not enough data
Connectivity
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
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
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
Fivetran and Keboola are categorized as Data Replication, ETL Tools, and Data Extraction
Unique Categories
Fivetran has no unique categories
Keboola is categorized as DataOps Platforms, Big Data Integration Platforms, iPaaS, Data Management Platform (DMP), Big Data Analytics, and Data Warehouse
Reviews
Reviewers' Company Size
Fivetran
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Keboola
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
14.8%
Information Technology and Services
13.7%
Financial Services
9.3%
Retail
5.3%
Marketing and Advertising
5.3%
Other
51.5%
Marketing and Advertising
12.8%
Information Technology and Services
12.8%
Retail
7.5%
Media Production
7.5%
Internet
6.0%
Other
53.4%
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
Are you planning to include those extractors: Pinterest, TikTok, Spinoco? All of the would be beneficial for our use.
2 Comments
Official Response from Keboola
TikTok should be published soon :-), Pinterest is on our list, but we have never heard about Spinoco. Probably usage of our generic extractor can help you...Read more
Keboola has no more discussions with answers
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