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Compare Databricks Data Intelligence Platform and WhereScape RED 
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At a Glance
Market Segments
Enterprise (46.0% of reviews)
Enterprise (48.6% 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 (46.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformWhereScape RED
Star Rating
(42)3.9 out of 5
Market Segments
Enterprise (48.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about WhereScape REDSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the Databricks Data Intelligence Platform excels in data transformation with a score of 9.3, while WhereScape RED lags behind at 8.1. Reviewers mention that Databricks' robust transformation capabilities allow for more complex data manipulations, making it a preferred choice for enterprises needing advanced data processing.
- Reviewers mention that Databricks shines in scalability with a score of 9.0 compared to WhereScape RED's 7.5. Users on G2 highlight that Databricks can handle larger datasets and more concurrent users without performance degradation, which is crucial for growing businesses.
- Users say that Databricks offers superior quality of support with a score of 8.4, while WhereScape RED only scores 6.6. Reviewers mention that the support team at Databricks is responsive and knowledgeable, which significantly enhances the user experience during implementation and troubleshooting.
- G2 users report that Databricks provides better cloud extraction capabilities, scoring 8.5 versus WhereScape RED's 7.7. Reviewers mention that Databricks' integration with cloud services is seamless, allowing for efficient data retrieval and processing from various cloud sources.
- Users on G2 highlight that Databricks has a more comprehensive workflow management system, scoring 9.3 compared to WhereScape RED's 8.5. Reviewers say that the intuitive interface and automation features in Databricks streamline data workflows, making it easier to manage complex data pipelines.
- Reviewers mention that Databricks excels in data lineage tracking with a score of 8.8, while WhereScape RED scores 7.8. Users report that the ability to trace data origins and transformations in Databricks is invaluable for compliance and auditing purposes, giving it an edge in data governance.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableWhereScape RED
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
WhereScape RED
Free Trial is available
Ratings
Meets Requirements
8.9
518
7.6
33
Ease of Use
8.8
527
7.5
34
Ease of Setup
8.7
400
7.7
14
Ease of Admin
8.3
171
7.4
12
Quality of Support
8.7
493
6.6
34
Has the product been a good partner in doing business?
8.8
174
7.2
10
Product Direction (% positive)
9.6
506
6.0
32
Features by Category
Reports
8.1
8
Not enough data
7.9
7
Not enough data
8.3
8
Not enough data
8.1
7
Not enough data
8.6
7
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
9.7
5
Not enough data
9.0
5
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
7.7
8
Not enough data
7.9
8
Not enough data
8.5
8
Not enough data
8.1
8
Not enough data
8.1
8
Not enough data
7.8
6
Not enough data
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
9.7
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
8.5
8
Not enough data
8.3
7
Not enough data
8.8
7
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
9.7
5
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
9.0
5
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
8.7
5
Not enough data
Not enough data
Not enough data
Building Reports
8.9
136
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.3
136
Not enough data
Functionality
Not enough data
7.7
8
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
7.7
8
Not enough data
8.5
8
Not enough data
7.7
8
Diverse Extraction Points
Not enough data
7.7
8
Administration
8.8
94
Not enough data
8.7
91
Not enough data
9.0
92
Not enough data
8.7
94
Not enough data
Management
8.5
85
Not enough data
8.7
84
Not enough data
8.6
85
Not enough data
8.5
84
Not enough data
8.7
83
Not enough data
Compliance
8.8
93
Not enough data
8.7
91
Not enough data
8.9
90
Not enough data
8.7
91
Not enough data
Security
9.0
82
Not enough data
8.9
83
Not enough data
8.8
84
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
9.2
11
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
6.9
12
8.5
163
7.8
12
Functionality
9.1
170
8.1
12
9.2
170
8.1
12
9.1
171
7.9
12
9.0
163
8.5
12
9.1
165
7.5
12
Deployment
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
65
Not enough data
8.9
66
Not enough data
Deployment
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
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
61
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
28
Not enough data
8.3
28
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
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
65
Not enough data
Agentic AI - DataOps Platforms
8.8
7
Not enough data
8.6
6
Not enough data
9.0
7
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
66
Not enough data
8.6
66
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
Automation
Not enough data
7.9
14
Not enough data
7.9
14
Not enough data
7.9
14
Not enough data
7.3
14
Functionality
Not enough data
7.8
13
Not enough data
7.1
14
Not enough data
7.3
14
Administration
Not enough data
6.4
14
Not enough data
7.4
14
Not enough data
Feature Not Available
Agentic AI - Data Warehouse Automation
Not enough data
Not enough data
Database
8.7
222
Not enough data
8.9
228
Not enough data
9.3
231
Not enough data
Integrations
8.3
212
Not enough data
9.2
233
Not enough data
Platform
9.0
225
Not enough data
8.8
229
Not enough data
9.2
233
Not enough data
Processing
9.0
225
Not enough data
9.0
223
Not enough data
Data Transformation
8.8
221
Not enough data
9.0
228
Not enough data
Connectivity
8.7
204
Not enough data
9.2
227
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
209
Not enough data
8.6
207
Not enough data
9.3
222
Not enough data
Building Reports
8.9
136
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.3
136
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 WhereScape RED are categorized as ETL Tools
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
WhereScape RED is categorized as Data Warehouse Automation, Big Data Integration Platforms, and Data Extraction
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
WhereScape RED
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
14.7%
Financial Services
11.3%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.3%
Hospital & Health Care
14.3%
Financial Services
14.3%
Telecommunications
11.4%
Insurance
8.6%
Government Administration
8.6%
Other
42.9%
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
WhereScape RED has no discussions with answers
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