Compare DataRobot and Databricks 
At a Glance
Market Segments
Small-Business (54.2% of reviews)
Enterprise (45.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
DataRobot
Star Rating
(26)4.4 out of 5
Market Segments
Small-Business (54.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DataRobotDatabricks
Star Rating
(714)4.6 out of 5
Market Segments
Enterprise (45.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that the Databricks Data Intelligence Platform excels in user satisfaction, boasting a significantly higher overall score compared to DataRobot. Users appreciate its ability to scale large language models and manage data across multiple cloud environments seamlessly.
- Users say that Databricks offers a more intuitive interface, particularly highlighting its interactive notebooks that support both SQL and Python for data visualization. In contrast, some DataRobot users find the interface less user-friendly, which can hinder their workflow.
- Reviewers mention that the implementation process for Databricks is notably quick and efficient, with many praising the autoscale feature that helps reduce cloud resource costs. On the other hand, DataRobot users have expressed challenges with setup, indicating a steeper learning curve and longer onboarding times.
- According to verified reviews, Databricks shines in the quality of support it provides, with users noting timely assistance and effective problem resolution. DataRobot, while still offering support, has received lower ratings in this area, suggesting room for improvement in customer service responsiveness.
- Users highlight that Databricks is particularly strong in meeting enterprise-level needs, with a significant portion of its user base coming from larger organizations. In contrast, DataRobot tends to cater more to small businesses, which may limit its appeal for larger enterprises looking for robust solutions.
- Reviewers appreciate the automated features of DataRobot, such as automated feature engineering and model comparisons, which save time in the modeling process. However, some users feel that these features can sometimes lack the depth and customization options available in Databricks, which offers more flexibility for advanced users.
Pricing
Entry-Level Pricing
DataRobot
No pricing availableDatabricks
No pricing availableFree Trial
DataRobot
No trial information availableDatabricks
Free Trial is available
Ratings
Meets Requirements
8.8
23
8.9
567
Ease of Use
8.5
23
8.9
578
Ease of Setup
7.0
11
8.7
450
Ease of Admin
7.4
11
8.3
181
Quality of Support
7.9
22
8.7
542
Has the product been a good partner in doing business?
8.3
11
8.9
185
Product Direction (% positive)
8.4
22
9.6
555
Features by Category
Reports
Not enough data
8.2
11
Not enough data
7.4
9
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.9
14
Data Preparation
Not enough data
8.9
6
Not enough data
8.8
7
Data Modeling and Blending
Not enough data
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Generative AI
Not enough data
9.1
9
Not enough data
9.2
6
Agentic AI - Analytics Platforms
Not enough data
9.3
7
Not enough data
8.7
5
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
8.3
7
Not enough data
9.7
6
Not enough data
9.3
5
Self Service
Not enough data
7.7
10
Not enough data
7.7
10
Not enough data
8.5
11
Not enough data
8.1
12
Not enough data
8.2
11
Not enough data
7.9
8
Deployment & Integration - Analytics Platforms
Not enough data
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Advanced Analytics
Not enough data
8.3
11
Not enough data
8.2
11
Not enough data
9.0
12
Performance & Scalability - Analytics Platforms
Not enough data
8.8
7
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Personalized Intelligence - Analytics Platforms
Not enough data
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Building Reports
Not enough data
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
Administration
Not enough data
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
97
Management
Not enough data
8.4
87
Not enough data
8.6
86
Not enough data
8.6
87
Not enough data
8.5
87
Not enough data
8.8
86
Compliance
Not enough data
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Security
Not enough data
9.0
86
Not enough data
8.9
85
Not enough data
8.8
86
Data Quality
Not enough data
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Maintainence
Not enough data
8.7
85
Not enough data
8.8
83
Generative AI
Not enough data
8.4
82
Not enough data
8.5
81
Agentic AI - Data Governance
Not enough data
8.5
10
Not enough data
8.8
11
Not enough data
9.0
14
Not enough data
8.5
12
Not enough data
9.0
12
Not enough data
9.0
13
Management
Not enough data
8.6
171
Not enough data
8.5
164
Functionality
Not enough data
9.1
172
Not enough data
9.2
174
Not enough data
9.1
172
Not enough data
9.0
167
Not enough data
9.1
167
Deployment
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
67
Deployment
Not enough data
8.9
61
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Management
Not enough data
9.0
63
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
8.9
68
Operations
Not enough data
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Management
Not enough data
8.8
60
Not enough data
8.7
61
Not enough data
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
Not enough data
8.9
180
Model Development
Not enough data
8.8
182
Not enough data
7.9
187
Not enough data
8.3
186
Not enough data
8.7
190
Model Development
Not enough data
8.5
172
Machine/Deep Learning Services
Not enough data
8.2
174
Not enough data
8.5
180
Not enough data
8.3
172
Not enough data
8.2
172
Machine/Deep Learning Services
Not enough data
8.4
158
Not enough data
8.4
160
Deployment
Not enough data
8.5
178
Not enough data
8.7
180
Not enough data
9.0
187
Generative AI
Not enough data
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.2
10
Not enough data
9.2
6
Not enough data
9.3
7
Data Management
Not enough data
9.0
185
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Integration
Not enough data
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
Not enough data
9.1
174
|
Verified
Deployment
Not enough data
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Performance
Not enough data
9.1
177
|
Verified
Security
Not enough data
8.8
168
|
Verified
Not enough data
8.9
168
|
Verified
Generative AI
Not enough data
8.5
76
Not enough data
8.4
75
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
Not enough data
9.0
68
Not enough data
8.7
69
Not enough data
8.8
68
Not enough data
9.1
68
Agentic AI - DataOps Platforms
Not enough data
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Analytics
Not enough data
8.8
67
Not enough data
8.5
67
Monitoring and Management
Not enough data
8.6
67
Not enough data
8.6
68
Cloud Deployment
Not enough data
9.0
63
Not enough data
9.0
64
Generative AI
Not enough data
8.9
36
Not enough data
8.9
36
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
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
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
Statistical Tool
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Decision Making
Not enough data
Not enough data
Not enough data
Not enough data
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
Database
Not enough data
8.7
236
Not enough data
8.9
243
Not enough data
9.3
256
Integrations
Not enough data
8.3
220
Not enough data
9.1
256
Platform
Not enough data
9.0
246
Not enough data
8.8
246
Not enough data
9.1
256
Processing
Not enough data
9.0
242
Not enough data
9.0
242
Data Transformation
Not enough data
8.8
226
Not enough data
9.1
232
Connectivity
Not enough data
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
230
Operations
Not enough data
8.4
227
Not enough data
8.8
224
Not enough data
8.6
212
Not enough data
8.6
209
Not enough data
9.3
229
Building Reports
Not enough data
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
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
DataRobot and Databricks are categorized as Data Science and Machine Learning Platforms
Unique Categories
DataRobot is categorized as Predictive Analytics and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
DataRobot
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks
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
20.8%
Information Technology and Services
12.5%
Telecommunications
8.3%
Architecture & Planning
4.2%
Biotechnology
4.2%
Other
50.0%
Information Technology and Services
15.4%
Financial Services
10.6%
Computer Software
8.5%
Consulting
3.7%
Hospital & Health Care
3.7%
Other
57.9%
Alternatives
Discussions
Can I use external libraries with my algorithms?
1 Comment
CP
Yes, you can. Algorithmia has complete package management capabilities built in to the platform. Read more
How much does using Algorithmia cost?
1 Comment
CP
You can get started on Algorithmia Teams for as little as $299/month. Go to teams.algorithmia.com and sign up now!Read more
I found a bug in an algorithm or it's not producing the expected results, what can I do?
1 Comment
CP
If you are an Algorithmia Enterprise user, contact your account team for an immediate response.
For Teams, while you are logged in to the platform, you...Read more
What is Lakehouse in Databricks?
4 Comments
BR
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
4 Comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What is Databricks unified analytics platform?
3 Comments
CA
Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...Read more
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