Compare AWS Lake Formation and Keboola 
At a Glance
Market Segments
Small-Business (45.2% of reviews)
Mid-Market (64.7% of reviews)
Entry-Level Pricing
No pricing available
Free With One-Time Purchase
AWS Lake Formation
Star Rating
(36)4.4 out of 5
Market Segments
Small-Business (45.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about AWS Lake FormationKeboola
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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Keboola excels in user experience, with many praising its intuitive setup for data flows. Users appreciate the ability to manage data from multiple sources seamlessly, highlighting its robust data management capabilities.
- Users say that AWS Lake Formation offers a simple data lake setup and integrates well with other AWS services. This makes it a strong choice for organizations already embedded in the AWS ecosystem, as it allows for automated data cataloging and effective data access control.
- Reviewers mention that Keboola's support is notably responsive, with users reporting fast assistance when needed. This level of support is particularly beneficial for less experienced users who may require additional guidance.
- According to verified reviews, AWS Lake Formation is recognized for its data protection and sharing features, which are essential for organizations that prioritize data security. Users appreciate the ability to control access to specific data sets, enhancing project-specific data management.
- G2 reviewers highlight that Keboola is particularly well-suited for mid-market companies, with a significant portion of its user base coming from this segment. This focus allows Keboola to tailor its features to meet the specific needs of these organizations, making it a popular choice among them.
- Users report that while both products have their strengths, AWS Lake Formation has a slight edge in product direction, with users feeling more optimistic about its future developments. This could be a deciding factor for businesses looking for long-term solutions.
Pricing
Entry-Level Pricing
AWS Lake Formation
No pricing availableKeboola
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
AWS Lake Formation
Free Trial is available
Keboola
Free Trial is available
Ratings
Meets Requirements
8.8
25
8.7
110
Ease of Use
8.7
25
8.6
111
Ease of Setup
8.3
10
8.4
81
Ease of Admin
8.0
9
8.1
57
Quality of Support
8.3
24
9.5
108
Has the product been a good partner in doing business?
9.0
8
9.0
57
Product Direction (% positive)
10.0
21
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
Not enough data
8.7
67
Not enough data
8.5
67
Not enough data
8.8
64
Not enough data
8.0
70
Not enough data
9.1
65
Not enough data
5.2
54
Diverse Extraction Points
Not enough data
8.7
67
Management
Not enough data
7.1
62
Not enough data
7.2
55
Functionality
Not enough data
9.1
73
Not enough data
9.2
74
Not enough data
8.9
73
Not enough data
9.1
73
Not enough data
8.5
70
Management
Not enough data
6.8
15
Not enough data
7.6
19
Not enough data
8.4
19
Not enough data
7.7
19
Solution Provision
Not enough data
7.1
16
Not enough data
8.0
17
Not enough data
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
Database
8.0
11
Not enough data
8.6
11
Not enough data
8.6
12
Not enough data
Integrations
8.0
9
Not enough data
8.7
10
Not enough data
Platform
8.3
7
Not enough data
7.6
7
Not enough data
8.7
10
Not enough data
Processing
8.5
8
Not enough data
8.5
8
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
AWS Lake Formation and Keboola are categorized as Big Data Integration Platforms
Unique Categories
AWS Lake Formation is categorized as Big Data Processing and Distribution
Keboola is categorized as DataOps Platforms, Data Replication, Data Extraction, iPaaS, ETL Tools, Data Management Platform (DMP), Big Data Analytics, and Data Warehouse
Reviews
Reviewers' Company Size
AWS Lake Formation
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
Information Technology and Services
22.6%
Banking
9.7%
Retail
6.5%
Computer Software
6.5%
Management Consulting
6.5%
Other
48.4%
Information Technology and Services
12.8%
Marketing and Advertising
12.8%
Retail
7.5%
Media Production
7.5%
Computer Software
6.0%
Other
53.4%
Alternatives
Discussions
AWS Lake Formation has no discussions with answers
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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