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- Databricks Data Intelligence Platform-vs-Palantir Gotham
Compare Databricks Data Intelligence Platform and Palantir Gotham 
At a Glance
Market Segments
Enterprise (46.9% of reviews)
Mid-Market (37.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(608)4.6 out of 5
Market Segments
Enterprise (46.9% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Databricks Data Intelligence PlatformPalantir Gotham
Star Rating
(10)4.3 out of 5
Market Segments
Mid-Market (37.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Palantir GothamSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the Databricks Data Intelligence Platform excels in Data Integration with a score of 9.0, allowing seamless connections to various data sources, while Palantir Gotham scores slightly lower at 8.9, indicating a more limited integration capability.
- Reviewers mention that Palantir Gotham shines in Data Governance with a score of 8.6, providing robust features for Data Masking and Compliance Management, whereas Databricks has a slightly lower score of 8.4 in this area, suggesting it may not be as comprehensive in governance features.
- G2 users highlight that Databricks offers superior Real-Time Analytics capabilities with a score of 8.5, which is crucial for businesses needing immediate insights, while Palantir Gotham has a comparable score of 8.4, indicating it may not be as responsive in real-time data processing.
- Users on G2 report that Palantir Gotham provides a more user-friendly experience with an Ease of Use score of 9.0, compared to Databricks at 8.7, suggesting that Gotham may be easier for new users to navigate and utilize effectively.
- Reviewers mention that Databricks excels in Model Development with a score of 8.7, particularly in Model Training and Pre-Built Algorithms, which are essential for data scientists, while Palantir Gotham scores slightly lower at 8.6, indicating it may not offer as many advanced features for model development.
- Users say that Databricks has a strong advantage in Scalability with a score of 9.1, making it suitable for enterprises with growing data needs, while Palantir Gotham also performs well with a score of 8.9, but may not scale as efficiently for larger datasets.
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Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availablePalantir Gotham
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Palantir Gotham
No trial information availableRatings
Meets Requirements
8.9
494
9.4
6
Ease of Use
8.8
503
9.0
5
Ease of Setup
8.7
376
Not enough data
Ease of Admin
8.3
162
Not enough data
Quality of Support
8.7
469
9.4
6
Has the product been a good partner in doing business?
8.8
165
Not enough data
Product Direction (% positive)
9.6
483
10.0
7
Features by Category
Administration
8.7
83
Not enough data
8.6
80
Not enough data
9.0
81
Not enough data
8.6
82
Not enough data
Management
8.4
75
Not enough data
8.6
74
Not enough data
8.6
74
Not enough data
8.4
74
Not enough data
8.7
74
Not enough data
Compliance
8.8
81
Not enough data
8.6
80
Not enough data
8.9
79
Not enough data
8.7
79
Not enough data
Security
9.0
72
Not enough data
8.9
74
Not enough data
8.8
74
Not enough data
Data Quality
8.9
81
Not enough data
8.7
80
Not enough data
9.0
78
Not enough data
Maintainence
8.8
73
Not enough data
8.8
72
Not enough data
Generative AI
8.5
71
Not enough data
8.5
70
Not enough data
Agentic AI - Data Governance
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
8.6
161
Not enough data
8.5
155
Not enough data
Functionality
9.1
162
Not enough data
9.2
163
Not enough data
9.1
164
Not enough data
9.0
156
Not enough data
9.1
158
Not enough data
Deployment
8.9
61
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
Deployment
8.9
60
Not enough data
8.8
61
Not enough data
8.6
64
Not enough data
8.9
63
Not enough data
9.0
63
Not enough data
Management
8.9
59
Not enough data
8.8
61
Not enough data
9.2
57
Not enough data
9.0
65
Not enough data
Operations
8.7
60
Not enough data
8.8
59
Not enough data
9.0
60
Not enough data
Management
8.8
59
Not enough data
8.7
58
Not enough data
9.1
57
Not enough data
Generative AI
8.3
26
Not enough data
8.3
26
Not enough data
System
8.8
168
Not enough data
8.7
163
Not enough data
8.1
164
Not enough data
Model Development
8.7
171
Not enough data
7.9
177
Not enough data
8.3
174
Not enough data
8.6
176
Not enough data
Model Development
8.4
162
Not enough data
8.7
166
Not enough data
8.5
164
Not enough data
Machine/Deep Learning Services
8.1
163
Not enough data
8.5
168
Not enough data
8.2
160
Not enough data
8.2
162
Not enough data
Machine/Deep Learning Services
8.2
151
Not enough data
8.4
149
Not enough data
8.4
149
Not enough data
8.5
151
Not enough data
Deployment
8.5
166
Not enough data
8.7
169
Not enough data
9.0
173
Not enough data
Deployment
8.5
156
Not enough data
8.7
162
Not enough data
8.8
160
Not enough data
Generative AI
8.3
80
Not enough data
8.5
80
Not enough data
7.6
79
Not enough data
Agentic AI - Data Science and Machine Learning 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
Not enough data
Not enough data
Not enough data
Not enough data
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
Analytics
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
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Fabric
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 Management
9.0
171
|
Verified
Not enough data
8.9
170
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
8.7
168
|
Verified
Not enough data
8.6
158
|
Verified
Not enough data
9.0
160
|
Verified
Not enough data
Integration
8.8
156
|
Verified
Not enough data
8.8
156
|
Verified
Not enough data
9.0
164
|
Verified
Not enough data
Deployment
7.8
145
|
Verified
Not enough data
9.1
166
|
Verified
Not enough data
Performance
9.1
166
|
Verified
Not enough data
Security
8.8
157
|
Verified
Not enough data
8.9
158
|
Verified
Not enough data
Generative AI
8.5
68
Not enough data
8.4
67
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
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
Functionality
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
Data Management
9.0
60
Not enough data
8.6
59
Not enough data
8.7
60
Not enough data
9.1
57
Not enough data
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
8.9
58
Not enough data
8.5
57
Not enough data
Monitoring and Management
8.6
58
Not enough data
8.4
58
Not enough data
Cloud Deployment
9.1
54
Not enough data
9.0
55
Not enough data
Generative AI
8.9
29
Not enough data
9.0
29
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
8.7
202
Not enough data
8.9
208
Not enough data
9.3
209
Not enough data
Integrations
8.2
191
Not enough data
9.2
211
Not enough data
Platform
9.0
204
Not enough data
8.8
207
Not enough data
9.2
211
Not enough data
Processing
9.0
204
Not enough data
9.0
203
Not enough data
Data Transformation
8.8
210
Not enough data
9.0
217
Not enough data
Connectivity
8.6
193
Not enough data
9.2
216
Not enough data
9.0
208
Not enough data
9.2
216
Not enough data
Operations
8.4
214
Not enough data
8.8
209
Not enough data
8.6
198
Not enough data
8.6
196
Not enough data
9.3
211
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
Databricks Data Intelligence Platform and Palantir Gotham are categorized as Data Science and Machine Learning Platforms
Unique Categories
Databricks Data Intelligence Platform is categorized as DataOps Platforms, MLOps Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Warehouse, and Data Governance
Palantir Gotham is categorized as Master Data Management (MDM), Predictive Analytics, Data Fabric, Big Data Integration Platforms, and iPaaS
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Palantir Gotham
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
14.6%
Financial Services
11.8%
Computer Software
7.7%
Consulting
4.0%
Hospital & Health Care
3.9%
Other
58.0%
Computer Software
37.5%
Transportation/Trucking/Railroad
12.5%
Information Technology and Services
12.5%
Government Relations
12.5%
Airlines/Aviation
12.5%
Other
12.5%
Most Helpful Reviews
Databricks Data Intelligence Platform
Most Helpful Favorable Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Most Helpful Critical Review
Reeham N.
Verified User in Investment Banking
This tool is not optimized for R users. They were supposed to have an update Q1 for R studio but their help team informed me that this was no longer a priority. Even so, heavy AI and machine learning algorithms are not optimized for use here besides the...
Palantir Gotham
Most Helpful Favorable Review
vimal k.
Verified User in Program Development
the analysis and integration of real time data helps to make best decision for growth of company. easy to implement in many applications.
Most Helpful Critical Review
Verified User in Government Relations
In my experience as consumer and researcher its functionality is limited by internet access.
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
vimal k.
Verified User in Program Development
the analysis and integration of real time data helps to make best decision for growth of company. easy to implement in many applications.
Reeham N.
Verified User in Investment Banking
This tool is not optimized for R users. They were supposed to have an update Q1 for R studio but their help team informed me that this was no longer a priority. Even so, heavy AI and machine learning algorithms are not optimized for use here besides the...
Verified User in Government Relations
In my experience as consumer and researcher its functionality is limited by internet access.
Alternatives
Discussions
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?
3 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
Palantir Gotham has no discussions with answers
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