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At a Glance
Market Segments
Enterprise (46.1% of reviews)
Enterprise (55.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(634)4.6 out of 5
Market Segments
Enterprise (46.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformDenodo
Star Rating
(44)4.3 out of 5
Market Segments
Enterprise (55.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about DenodoSummary
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 Denodo scores slightly lower at 8.9, indicating a robust but less flexible integration capability.
- Reviewers mention that Databricks offers superior Real-Time Data Collection capabilities with a score of 8.4, which is crucial for businesses needing immediate insights, whereas Denodo has a comparable score of 8.7 but lacks some of the advanced features that enhance real-time analytics.
- G2 users highlight that Databricks shines in Machine Learning Services, particularly with its Natural Language Processing feature scoring 8.5, which is praised for its effectiveness in automating data insights. In contrast, Denodo scores 8.1 in similar capabilities, suggesting it may not be as advanced in this area.
- Users on G2 report that Databricks provides a more user-friendly experience with an Ease of Use score of 8.7, making it easier for teams to adopt and utilize the platform effectively, while Denodo has a slightly lower score of 8.5, indicating a steeper learning curve for new users.
- Reviewers mention that Databricks has a strong focus on Data Governance, scoring 9.1 in Governing features, which is essential for compliance and data management, while Denodo scores 9.2, showing it also prioritizes governance but may not offer the same depth in features.
- Users say that Databricks excels in Scalability with a score of 9.0, allowing businesses to grow without performance issues, while Denodo also performs well with a score of 8.9, but some users feel it may not handle large-scale operations as efficiently as Databricks.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableDenodo
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Denodo
Free Trial is available
Ratings
Meets Requirements
8.9
517
8.4
30
Ease of Use
8.8
526
8.7
30
Ease of Setup
8.7
399
8.2
18
Ease of Admin
8.3
170
7.5
16
Quality of Support
8.7
492
8.2
27
Has the product been a good partner in doing business?
8.8
173
8.9
16
Product Direction (% positive)
9.6
505
9.1
26
Features by Category
Reports
7.9
7
Not enough data
7.9
7
Not enough data
8.1
7
Not enough data
8.1
6
Not enough data
8.3
6
Not enough data
Self Service
7.9
7
Not enough data
7.6
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
7.9
7
Not enough data
7.8
6
Not enough data
Advanced Analytics
8.3
7
Not enough data
8.3
6
Not enough data
8.6
6
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
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
Reports
7.9
7
Not enough data
7.9
7
Not enough data
8.1
7
Not enough data
8.1
6
Not enough data
8.3
6
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
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 - Analytics 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
Self Service
7.9
7
Not enough data
7.6
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
7.9
7
Not enough data
7.8
6
Not enough data
Deployment & Integration - Analytics 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
Advanced Analytics
8.3
7
Not enough data
8.3
6
Not enough data
8.6
6
Not enough data
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics 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
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Not enough data
Data Governance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Collaboration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Artificial Intelligence
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 - Machine Learning Data Catalog
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
Administration
Not enough data
8.8
20
Not enough data
8.2
18
Not enough data
8.1
18
Federation
Not enough data
8.2
18
Not enough data
8.1
18
Not enough data
8.3
17
Not enough data
8.9
15
Transformation
Not enough data
9.0
17
Not enough data
8.0
18
Not enough data
8.8
18
Administration
8.8
94
Not enough data
8.7
91
Not enough data
9.0
92
Not enough data
8.7
93
Not enough data
Management
8.5
85
Not enough data
8.7
84
Not enough data
8.6
85
Not enough data
8.5
83
Not enough data
8.7
83
Not enough data
Compliance
8.8
92
Not enough data
8.7
91
Not enough data
8.9
90
Not enough data
8.7
90
Not enough data
Security
9.0
82
Not enough data
8.9
83
Not enough data
8.9
83
Not enough data
Data Quality
9.0
92
Not enough data
8.8
91
Not enough data
9.0
89
Not enough data
Maintainence
8.8
82
Not enough data
8.8
81
Not enough data
Generative AI
8.4
80
Not enough data
8.5
79
Not enough data
Agentic AI - Data Governance
8.9
9
Not enough data
9.1
9
Not enough data
9.3
10
Not enough data
8.7
10
Not enough data
9.2
10
Not enough data
9.2
10
Not enough data
Management
8.6
169
Not enough data
8.5
163
Not enough data
Functionality
9.1
170
Not enough data
9.2
170
Not enough data
9.1
171
Not enough data
9.0
163
Not enough data
9.1
165
Not enough data
Deployment
8.9
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
65
Not enough data
8.9
65
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
65
Not enough data
9.0
65
Not enough data
Management
9.0
62
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Not enough data
Operations
8.7
62
Not enough data
8.8
60
Not enough data
9.0
62
Not enough data
Management
8.8
60
Not enough data
8.7
60
Not enough data
9.1
59
Not enough data
Generative AI
8.3
27
Not enough data
8.3
27
Not enough data
System
8.8
175
Not enough data
Model Development
8.8
180
Not enough data
8.0
186
Not enough data
8.3
183
Not enough data
8.6
185
Not enough data
Model Development
8.5
171
Not enough data
Machine/Deep Learning Services
8.1
172
Not enough data
8.5
177
Not enough data
8.2
168
Not enough data
8.2
171
Not enough data
Machine/Deep Learning Services
8.4
156
Not enough data
8.4
159
Not enough data
Deployment
8.5
175
Not enough data
8.7
178
Not enough data
9.0
182
Not enough data
Generative AI
8.2
86
Not enough data
8.4
86
Not enough data
7.6
85
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.3
7
Not enough data
8.6
6
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
9.3
7
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
Not enough data
9.3
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.0
5
Analytics
Not enough data
Not enough data
Security
Not enough data
8.7
5
Not enough data
8.7
5
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
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
173
|
Verified
Not enough data
8.8
178
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
169
|
Verified
Not enough data
Integration
8.8
166
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
9.1
172
|
Verified
Not enough data
Deployment
7.9
154
|
Verified
Not enough data
9.1
175
|
Verified
Not enough data
Performance
9.1
175
|
Verified
Not enough data
Security
8.8
165
|
Verified
Not enough data
8.9
166
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
8.4
75
Not enough data
Data Management
9.0
66
Not enough data
8.7
66
Not enough data
8.8
67
Not enough data
9.1
64
Not enough data
Agentic AI - DataOps Platforms
8.8
7
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.3
7
Not enough data
Analytics
8.8
65
Not enough data
8.5
64
Not enough data
Monitoring and Management
8.6
65
Not enough data
8.5
65
Not enough data
Cloud Deployment
9.1
61
Not enough data
9.0
62
Not enough data
Generative AI
8.9
35
Not enough data
8.9
35
Not enough data
Deployment & Integration - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Connectivity & Federation - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling & Metrics - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Governance - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Intelligence - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Enablement - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.7
222
Not enough data
8.9
228
Not enough data
9.3
230
Not enough data
Integrations
8.3
211
Not enough data
9.2
232
Not enough data
Platform
9.0
225
Not enough data
8.8
228
Not enough data
9.2
232
Not enough data
Processing
9.0
224
Not enough data
9.0
223
Not enough data
Data Transformation
8.8
220
Not enough data
9.0
227
Not enough data
Connectivity
8.7
203
Not enough data
9.2
226
Not enough data
9.0
218
Not enough data
9.2
226
Not enough data
Operations
8.4
224
Not enough data
8.8
219
Not enough data
8.6
208
Not enough data
8.6
206
Not enough data
9.3
221
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
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 Denodo are categorized as Big Data Processing and Distribution and Data Warehouse
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, ETL Tools, Big Data Analytics, Data Science and Machine Learning Platforms, and Analytics Platforms
Denodo is categorized as Data Fabric, Data Virtualization, Machine Learning Data Catalog, Big Data Integration Platforms, and Semantic Layer Tools
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Denodo
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
11.3%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.4%
Insurance
16.7%
Banking
13.9%
Information Technology and Services
11.1%
Financial Services
11.1%
Higher Education
5.6%
Other
41.7%
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
Denodo has no discussions with answers
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