Compare Databricks and Qubole 
At a Glance
Market Segments
Enterprise (44.0% of reviews)
Enterprise (51.1% of reviews)
Entry-Level Pricing
No pricing available
30 day free trial
Databricks
Star Rating
(758)4.6 out of 5
Market Segments
Enterprise (44.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksQubole
Star Rating
(259)4.0 out of 5
Market Segments
Enterprise (51.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
30 day free trial
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Databricks excels in overall user satisfaction, boasting a significantly higher G2 Score compared to Qubole. Users appreciate its comprehensive features, such as Genie and Lakehouse Connect, which streamline data workflows and enhance productivity.
- Users say that Qubole offers a user-friendly interface, making it easy to manage big data programmatically. Reviewers highlight its seamless integration with AWS and Hadoop's HDFS, which provides an ideal environment for ETL processes, although it may not match the extensive capabilities of Databricks.
- Reviewers mention that Databricks simplifies the entire data workflow by consolidating multiple tools into one platform. This integration is particularly praised for its notebook environment, which allows for efficient data processing, analysis, and machine learning without the need to switch between applications.
- According to verified reviews, Qubole's strengths lie in its managed service capabilities, with users noting its ease of use for data ingestion and wrangling. However, it faces challenges in areas like support quality and product direction, where Databricks outperforms with higher ratings.
- Users highlight that Databricks' Unity Catalog has been a game-changer for enterprise migrations, providing centralized governance and fine-grained access control. This feature is a significant advantage for organizations looking to enhance data security and compliance.
- G2 reviewers indicate that while Qubole has a solid foundation for big data management, it lacks the recent user engagement seen with Databricks, which has received a much higher volume of recent reviews. This suggests that Databricks is more actively evolving and responding to user needs.
Pricing
Entry-Level Pricing
Databricks
No pricing availableQubole
Free Trial
30 day free trial
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source. Get started today: https://www.qubole.com/free-trial/
Free Trial
Databricks
Free Trial is available
Qubole
Free Trial is available
Ratings
Meets Requirements
9.0
594
8.4
211
Ease of Use
8.9
609
7.8
212
Ease of Setup
8.7
482
7.6
60
Ease of Admin
8.4
184
7.6
58
Quality of Support
8.7
571
7.9
177
Has the product been a good partner in doing business?
8.9
188
8.1
61
Product Direction (% positive)
9.6
582
7.1
208
Features by Category
Reports
8.6
15
Not enough data
7.9
12
Not enough data
8.6
13
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
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
Not enough data
8.5
165
Not enough data
Functionality
9.1
177
Not enough data
9.2
179
Not enough data
9.1
174
Not enough data
9.0
168
Not enough data
9.1
170
Not enough data
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
9.0
7
Model Development
8.7
185
7.9
7
8.0
188
6.7
5
8.3
187
8.0
5
8.7
192
8.1
6
Model Development
8.5
173
8.3
5
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
8.0
5
Deployment
8.5
180
9.0
5
8.7
181
8.3
6
9.0
189
8.8
7
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
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
Data Management
9.0
69
Not enough data
8.8
71
Not enough data
8.8
69
Not enough data
9.1
70
Not enough data
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
Not enough data
8.6
68
Not enough data
Monitoring and Management
8.6
68
Not enough data
8.6
69
Not enough data
Cloud Deployment
9.0
64
Not enough data
9.0
65
Not enough data
Generative AI
9.0
37
Not enough data
8.9
37
Not enough data
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
Database
8.7
239
8.0
64
8.9
247
8.4
83
9.3
266
8.3
79
Integrations
8.3
220
8.6
81
9.1
269
8.6
87
Platform
8.9
262
8.3
72
8.9
255
8.3
82
9.1
269
8.6
87
Processing
9.0
248
8.5
85
9.0
255
8.3
82
Data Transformation
8.9
229
8.0
119
|
Verified
9.1
237
8.8
10
|
Verified
Connectivity
8.7
208
8.8
107
|
Verified
9.2
232
8.6
123
|
Verified
9.0
222
8.3
108
|
Verified
9.2
231
8.5
113
|
Verified
Operations
8.4
230
7.0
104
|
Verified
8.8
229
7.8
116
|
Verified
8.6
214
7.2
75
|
Verified
8.6
210
7.8
69
|
Verified
9.3
232
8.8
11
|
Verified
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 Qubole are categorized as Big Data Processing and Distribution, Big Data Analytics, and Data Science and Machine Learning Platforms
Unique Categories
Databricks is categorized as DataOps Platforms, MLOps Platforms, Data Governance, ETL Tools, Analytics Platforms, Data Warehouse, Database Management Systems (DBMS), Generative AI Infrastructure, AI Agent Builders, and AI Gateways
Qubole is categorized as Big Data Integration Platforms
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Qubole
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
15.7%
Financial Services
10.3%
Computer Software
8.7%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
57.8%
Computer Software
19.4%
Information Technology and Services
14.3%
Marketing and Advertising
12.2%
Internet
6.8%
Leisure, Travel & Tourism
4.2%
Other
43.0%
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
How do i integrate more charts or graphs in Qubole Notebooks in SQL for quick visualization
2 Comments
MP
There are some basic charts available when using SQL + Notebooks. If you are open to using python you can also take advantage of other packages:...Read more
1.What is the best way to pass external spark packages in Qubole Notebooks?;
2 Comments
MP
There may be a few options depending on whether you are looking for java or python:
Package Management...Read more
How to get logs from Qubole if I run traditional jar instead of Python
1 Comment
MP
Hi Lalit,
I'll probably need more information before giving a good answer. If you are submitting jobs from our API can you see if this...Read more
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