Compare Databricks and Keboola 
At a Glance
Market Segments
Enterprise (44.3% of reviews)
Mid-Market (64.7% of reviews)
Entry-Level Pricing
No pricing available
Free With One-Time Purchase
Databricks
Star Rating
(752)4.6 out of 5
Market Segments
Enterprise (44.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksKeboola
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 Databricks excels in providing a comprehensive data workflow solution, with features like Genie and Lakehouse Connect that streamline data processing, analysis, and machine learning all in one platform. Users appreciate the notebook environment that simplifies their tasks.
- Users say Keboola shines with its intuitive interface and robust data management capabilities, allowing for easy integration of multiple data sources. Reviewers highlight the ready-made connections to services like Google Analytics, which simplify data retrieval and management.
- According to verified reviews, Databricks has a significantly higher overall satisfaction score, reflecting its strong performance in the Big Data Analytics and DataOps categories. Users frequently mention the value of Unity Catalog for centralized governance and fine-grained access control, enhancing their enterprise data management.
- Reviewers mention that while Keboola offers a clear and user-friendly setup for data flows, it faces challenges in scalability and advanced analytics capabilities compared to Databricks. Users have noted that Keboola's reporting features could be improved, as they find them less robust than those offered by Databricks.
- Users highlight that Databricks provides superior support quality, with many praising the responsiveness and helpfulness of the support team. In contrast, Keboola's support, while rated highly, does not match the level of satisfaction reported by Databricks users.
- G2 reviewers indicate that Databricks is particularly well-suited for enterprise-level applications, with a significant portion of its user base coming from large organizations. Keboola, on the other hand, is favored by mid-market companies, which may limit its appeal for larger enterprises seeking advanced features and scalability.
Pricing
Entry-Level Pricing
Databricks
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
Databricks
Free Trial is available
Keboola
Free Trial is available
Ratings
Meets Requirements
8.9
592
8.7
110
Ease of Use
8.9
607
8.6
111
Ease of Setup
8.7
479
8.4
81
Ease of Admin
8.4
184
8.1
57
Quality of Support
8.7
568
9.5
108
Has the product been a good partner in doing business?
8.9
188
9.0
57
Product Direction (% positive)
9.6
579
8.9
105
Features by Category
Reports
8.5
14
Not enough data
7.9
12
Not enough data
8.5
12
Not enough data
8.2
10
Not enough data
9.1
16
Not enough data
Data Preparation
9.0
7
Not enough data
9.0
8
Not enough data
Data Modeling and Blending
9.1
9
Not enough data
9.0
8
Not enough data
8.9
9
Not enough data
Generative AI
9.2
10
Not enough data
9.3
7
Not enough data
Agentic AI - Analytics Platforms
9.4
8
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.5
8
Not enough data
9.3
7
Not enough data
9.4
6
Not enough data
Self Service
7.9
11
Not enough data
7.9
11
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.3
12
Not enough data
8.1
9
Not enough data
Deployment & Integration - Analytics Platforms
8.3
8
Not enough data
9.3
9
Not enough data
8.8
7
Not enough data
9.3
7
Not enough data
Advanced Analytics
8.5
12
Not enough data
8.3
12
Not enough data
9.2
14
Not enough data
Performance & Scalability - Analytics Platforms
9.0
8
Not enough data
9.7
5
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.1
9
Not enough data
8.7
9
Not enough data
8.8
7
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.8
8
Not enough data
9.0
8
Not enough data
9.0
7
Not enough data
8.8
8
Not enough data
Personalized Intelligence - Analytics Platforms
9.3
7
Not enough data
8.1
9
Not enough data
8.5
8
Not enough data
Building Reports
9.0
158
Not enough data
8.6
149
Not enough data
7.6
124
Not enough data
8.4
149
Not enough data
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
Administration
8.8
100
Not enough data
8.6
94
Not enough data
9.0
95
Not enough data
8.7
99
Not enough data
Management
8.5
88
Not enough data
8.6
87
Not enough data
8.7
89
Not enough data
8.5
88
Not enough data
8.8
87
Not enough data
Compliance
8.9
100
Not enough data
8.7
93
Not enough data
8.9
95
Not enough data
8.7
96
Not enough data
Security
9.0
89
Not enough data
8.9
87
Not enough data
8.8
87
Not enough data
Data Quality
9.0
95
Not enough data
8.7
94
Not enough data
9.0
94
Not enough data
Maintainence
8.7
86
Not enough data
8.8
85
Not enough data
Generative AI
8.4
83
Not enough data
8.5
82
Not enough data
Agentic AI - Data Governance
8.6
11
Not enough data
8.9
12
Not enough data
9.1
15
Not enough data
8.6
13
Not enough data
9.1
13
Not enough data
9.0
14
Not enough data
Management
8.6
173
7.1
62
8.5
165
7.2
55
Functionality
9.1
177
9.1
73
9.2
179
9.2
74
9.1
174
8.9
73
9.0
168
9.1
73
9.1
170
8.5
70
Deployment
8.9
65
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
68
Not enough data
Deployment
8.9
62
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Not enough data
Management
9.0
64
Not enough data
8.9
66
Not enough data
9.2
61
Not enough data
9.0
69
Not enough data
Operations
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Not enough data
Management
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
181
Not enough data
Model Development
8.7
184
Not enough data
8.0
188
Not enough data
8.3
187
Not enough data
8.7
192
Not enough data
Model Development
8.5
173
Not enough data
Machine/Deep Learning Services
8.2
175
Not enough data
8.5
181
Not enough data
8.3
173
Not enough data
8.2
173
Not enough data
Machine/Deep Learning Services
8.4
159
Not enough data
8.4
161
Not enough data
Deployment
8.5
180
Not enough data
8.7
181
Not enough data
9.0
189
Not enough data
Generative AI
8.2
87
Not enough data
8.4
88
Not enough data
7.6
87
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.3
9
Not enough data
8.5
8
Not enough data
8.3
9
Not enough data
8.8
8
Not enough data
9.2
11
Not enough data
8.8
7
Not enough data
9.4
8
Not enough data
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
9.1
186
|
Verified
Not enough data
8.9
181
|
Verified
Not enough data
8.9
182
|
Verified
Not enough data
8.8
181
|
Verified
Not enough data
8.7
168
|
Verified
Not enough data
9.1
173
|
Verified
Not enough data
Integration
8.8
169
|
Verified
Not enough data
8.8
168
|
Verified
Not enough data
9.1
177
|
Verified
Not enough data
Deployment
7.9
157
|
Verified
Not enough data
9.2
179
|
Verified
Not enough data
Performance
9.2
180
|
Verified
Not enough data
Security
8.9
171
|
Verified
Not enough data
8.9
169
|
Verified
Not enough data
Generative AI
8.5
77
Not enough data
8.4
76
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
Maintenance
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
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
9.0
69
9.0
16
8.8
71
7.6
16
8.8
69
9.2
16
9.1
70
8.6
16
Agentic AI - DataOps Platforms
9.2
10
Not enough data
9.0
8
Not enough data
9.0
10
Not enough data
9.1
9
Not enough data
9.4
9
Not enough data
Analytics
8.8
68
7.5
14
8.6
68
5.4
14
Monitoring and Management
8.6
68
8.4
16
8.6
69
7.7
15
Cloud Deployment
9.0
64
7.8
12
9.0
65
8.2
13
Generative AI
9.0
37
3.5
9
8.9
37
4.4
9
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
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 and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Traffic Management & Performance - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Observability - AI Gateways
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
Database
8.7
239
Not enough data
8.9
247
Not enough data
9.3
265
Not enough data
Integrations
8.3
220
Not enough data
9.1
268
Not enough data
Platform
9.0
261
Not enough data
8.9
255
Not enough data
9.1
268
Not enough data
Processing
9.0
248
Not enough data
9.0
255
Not enough data
Data Transformation
8.9
229
Not enough data
9.1
237
Not enough data
Connectivity
8.7
208
Not enough data
9.2
232
Not enough data
9.0
222
Not enough data
9.2
232
Not enough data
Operations
8.4
230
Not enough data
8.8
229
Not enough data
8.6
214
Not enough data
8.6
210
Not enough data
9.3
233
Not enough data
Building Reports
9.0
158
Not enough data
8.6
149
Not enough data
7.6
124
Not enough data
8.4
149
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
Databricks and Keboola are categorized as DataOps Platforms, ETL Tools, Big Data Analytics, and Data Warehouse
Unique Categories
Keboola is categorized as Data Replication, Data Extraction, Big Data Integration Platforms, iPaaS, and Data Management Platform (DMP)
Reviews
Reviewers' Company Size
Databricks
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
15.8%
Financial Services
10.3%
Computer Software
8.6%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
57.7%
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
What is Lakehouse in Databricks?
4 Comments
BK
Lakehouse architecture is the merging of the data warehouse and data lake concepts into a single platform, with built-in support for lineage maintenance and ML.Read more
What are the features of Databricks?
4 Comments
SM
Delta Lake
Lakehosue platform
Schema evolution
Data quarantine & Data Quality
Data Integration & TransformationsRead more
What does Databricks software do?
3 Comments
SM
It will work like Hadoop, databricks provide the services like big data.
Databricks also work like in advanced level it's have capability to process large...Read more
Are you planning to include those extractors: Pinterest, TikTok, Spinoco? All of the would be beneficial for our use.
2 Comments
MK
TikTokRead more
Keboola has no more discussions with answers
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