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- Databricks Data Intelligence Platform-vs-Palantir Foundry
Compare Databricks Data Intelligence Platform and Palantir Foundry 
At a Glance
Market Segments
Enterprise (47.6% of reviews)
Small-Business (41.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(405)4.6 out of 5
Market Segments
Enterprise (47.6% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Databricks Data Intelligence PlatformPalantir Foundry
Star Rating
(12)4.1 out of 5
Market Segments
Small-Business (41.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Palantir FoundrySummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the Databricks Data Intelligence Platform excels in workflow management with a score of 9.3, while Palantir Foundry falls short with a score of 8.4. Reviewers mention that the intuitive interface and seamless integration of workflows in Databricks significantly enhance productivity.
- Reviewers mention that Databricks offers superior data lineage capabilities, scoring 8.8 compared to Palantir's 7.5. Users on G2 appreciate how Databricks provides clear visibility into data transformations, which aids in compliance and auditing processes.
- Users say that Palantir Foundry shines in data integration, achieving a score of 9.0, while Databricks scores 8.9. Reviewers highlight the extensive range of pre-built connectors in Palantir that simplify the integration of diverse data sources.
- G2 users report that Databricks has a more user-friendly ease of use rating of 8.7, compared to Palantir's 7.2. Users mention that the drag-and-drop functionality in Databricks makes it easier for non-technical users to navigate the platform.
- Reviewers mention that Palantir Foundry has a more robust compliance management feature, scoring 8.6, while Databricks scores 8.4. Users appreciate Palantir's comprehensive approach to data governance and compliance monitoring.
- Users report that Databricks excels in model registry functionality with a score of 8.9, while Palantir's score is 8.5. Reviewers say that the model versioning and tracking features in Databricks facilitate better collaboration among data scientists.
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Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availablePalantir Foundry
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Palantir Foundry
No trial information availableRatings
Meets Requirements
8.8
299
7.8
9
Ease of Use
8.8
301
7.2
9
Ease of Setup
8.5
186
Not enough data
Ease of Admin
8.1
89
Not enough data
Quality of Support
8.5
279
7.8
9
Has the product been a good partner in doing business?
8.5
89
Not enough data
Product Direction (% positive)
9.5
285
6.8
11
Features by Category
Data Source Access
Not enough data
7.8
6
Not enough data
6.7
6
Not enough data
6.4
6
Data Interaction
Not enough data
7.2
6
Not enough data
6.9
6
Not enough data
6.9
6
Not enough data
6.9
6
Not enough data
6.9
6
Not enough data
7.2
6
Not enough data
6.9
6
Not enough data
7.5
6
Data Exporting
Not enough data
6.9
6
Not enough data
7.5
6
Not enough data
7.2
6
Generative AI
Not enough data
Feature Not Available
Administration
8.3
19
Not enough data
8.8
18
Not enough data
8.9
20
Not enough data
8.6
21
Not enough data
Management
8.5
19
Not enough data
8.7
19
Not enough data
8.8
19
Not enough data
8.4
19
Not enough data
9.0
19
Not enough data
Compliance
8.7
20
Not enough data
8.5
19
Not enough data
8.7
19
Not enough data
8.1
18
Not enough data
Security
8.8
18
Not enough data
8.9
19
Not enough data
8.9
19
Not enough data
Data Quality
8.8
19
Not enough data
8.2
19
Not enough data
8.9
19
Not enough data
Maintainence
8.7
19
Not enough data
8.5
19
Not enough data
Generative AI
8.3
19
Not enough data
8.8
19
Not enough data
Management
8.3
85
Not enough data
8.3
81
Not enough data
Functionality
9.1
88
Not enough data
9.3
89
Not enough data
9.1
90
Not enough data
8.9
83
Not enough data
9.1
86
Not enough data
Deployment
8.8
35
Not enough data
8.7
36
Not enough data
8.6
37
Not enough data
8.7
37
Not enough data
8.7
37
Not enough data
Deployment
8.6
34
Not enough data
8.5
35
Not enough data
8.3
39
Not enough data
8.7
38
Not enough data
8.9
38
Not enough data
Management
8.8
34
Not enough data
8.6
35
Not enough data
9.2
31
Not enough data
8.9
39
Not enough data
Operations
8.4
35
Not enough data
8.6
34
Not enough data
8.8
35
Not enough data
Management
8.7
35
Not enough data
8.3
34
Not enough data
9.2
32
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
System
8.8
93
Not enough data
8.6
88
Not enough data
7.7
89
Not enough data
Model Development
8.7
83
Not enough data
7.8
90
Not enough data
8.3
88
Not enough data
8.8
90
Not enough data
Model Development
8.4
87
Not enough data
8.7
92
Not enough data
8.5
90
Not enough data
Machine/Deep Learning Services
8.2
79
Not enough data
8.6
84
Not enough data
8.2
77
Not enough data
8.1
80
Not enough data
Machine/Deep Learning Services
8.1
79
Not enough data
8.3
80
Not enough data
8.1
79
Not enough data
8.4
81
Not enough data
Deployment
8.4
84
Not enough data
8.7
88
Not enough data
8.8
92
Not enough data
Deployment
8.4
86
Not enough data
8.6
92
Not enough data
8.8
92
Not enough data
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
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
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
Feature Not Available
Not enough data
Feature Not Available
Data Management
9.0
114
|
Verified
Not enough data
8.8
113
|
Verified
Not enough data
8.6
109
|
Verified
Not enough data
8.5
111
|
Verified
Not enough data
8.5
101
|
Verified
Not enough data
8.9
105
|
Verified
Not enough data
Integration
8.7
100
|
Verified
Not enough data
8.6
101
|
Verified
Not enough data
8.9
110
|
Verified
Not enough data
Deployment
7.6
90
|
Verified
Not enough data
9.0
111
|
Verified
Not enough data
Performance
9.0
112
|
Verified
Not enough data
Security
8.5
103
|
Verified
Not enough data
8.6
104
|
Verified
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
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
34
Not enough data
8.3
33
Not enough data
8.4
34
Not enough data
9.0
32
Not enough data
Analytics
8.6
32
Not enough data
8.4
31
Not enough data
Monitoring and Management
8.2
32
Not enough data
8.2
32
Not enough data
Cloud Deployment
9.2
29
Not enough data
9.1
29
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
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
Feature Not Available
Not enough data
Feature Not Available
Database
8.5
113
Not enough data
8.8
120
Not enough data
9.1
120
Not enough data
Integrations
8.3
105
Not enough data
9.1
122
Not enough data
Platform
8.9
116
Not enough data
8.7
120
Not enough data
9.1
122
Not enough data
Processing
8.9
119
Not enough data
8.9
119
Not enough data
Data Transformation
8.6
134
Not enough data
8.9
141
Not enough data
Connectivity
8.5
118
Not enough data
9.1
140
Not enough data
8.9
132
Not enough data
9.1
141
Not enough data
Operations
8.2
139
Not enough data
8.7
134
Not enough data
8.4
122
Not enough data
8.5
122
Not enough data
9.3
136
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 Foundry 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 Foundry is categorized as Data Preparation, Predictive Analytics, Master Data Management (MDM), 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 Foundry
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
15.0%
Computer Software
10.4%
Financial Services
8.1%
Marketing and Advertising
4.8%
Consulting
4.1%
Other
57.5%
Information Technology and Services
25.0%
Computer Software
16.7%
Pharmaceuticals
8.3%
Information Services
8.3%
Government Administration
8.3%
Other
33.3%
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
J B.
Verified User in Hospital & Health Care
Trying to automate the infrastructure is difficult, and some things are impossible to automate as they are only available on the web console and not through APIs. Their support is beyond bad. We had to give up working with them as it wasted too much...
Palantir Foundry
Most Helpful Favorable Review
Verified User in Information Technology and Services
Foundry is great for people who are semi-technical but not full-on coders or data scientists. I think my favorite feature is that you can easily change columns -- the multi-column editor function is a lifesaver. You can also easily merge two different...
Most Helpful Critical Review
Samar D.
Verified User in Computer Software
The analysis algorithm is not up to the mark as even with noise-free data it does not bring accuracy to the table. Another barrier I found was the data capacity as after a certain limit the software takes a large amount of time to execute and sometimes even...
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...
Verified User in Information Technology and Services
Foundry is great for people who are semi-technical but not full-on coders or data scientists. I think my favorite feature is that you can easily change columns -- the multi-column editor function is a lifesaver. You can also easily merge two different...
J B.
Verified User in Hospital & Health Care
Trying to automate the infrastructure is difficult, and some things are impossible to automate as they are only available on the web console and not through APIs. Their support is beyond bad. We had to give up working with them as it wasted too much...
Samar D.
Verified User in Computer Software
The analysis algorithm is not up to the mark as even with noise-free data it does not bring accuracy to the table. Another barrier I found was the data capacity as after a certain limit the software takes a large amount of time to execute and sometimes even...
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 does Databricks software do?
2 comments
BR
Databricks is a unified analytics platform and it help us to connect the different sources of data and process it to the single platform which store, share...Read more
Palantir Foundry has no discussions with answers
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