Compare Databricks and WhereScape RED 
At a Glance
Market Segments
Enterprise (43.9% of reviews)
Enterprise (48.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(757)4.6 out of 5
Market Segments
Enterprise (43.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksWhereScape 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.
- G2 reviewers report that Databricks excels in providing a comprehensive data workflow solution, with features like Genie, Lakehouse Connect, and streaming tables that streamline data processing, analysis, and machine learning all in one platform. This integration is a significant advantage for users looking to minimize tool-switching.
- Users say that WhereScape RED offers a user-friendly interface that simplifies the creation of data pipelines, especially for those with SQL skills. Reviewers appreciate how it allows them to quickly transform and cleanse data, making it easier to get data into reporting environments without extensive effort.
- According to verified reviews, Databricks has a much higher overall satisfaction rating, indicating that users feel more positively about their experience. The platform's ability to provide centralized governance and fine-grained access control through features like Unity Catalog has been highlighted as a major benefit during enterprise migrations.
- Reviewers mention that while WhereScape RED is effective for ETL tasks, it does not fully design data warehouses, which can limit its functionality for users seeking a more comprehensive solution. This limitation may lead some users to seek additional tools to meet their needs.
- Users highlight that Databricks offers superior support and product direction, with many praising the quality of assistance they receive. This is reflected in the platform's higher scores for support quality, which can be crucial for organizations that rely on timely help for their data operations.
- G2 reviewers note that WhereScape RED's documentation is well-regarded, particularly for understanding data flows. However, its overall lower ratings in areas like ease of use and setup suggest that users may face challenges that Databricks users do not, particularly in terms of initial onboarding and ongoing administration.
Pricing
Entry-Level Pricing
Databricks
No pricing availableWhereScape RED
No pricing availableFree Trial
Databricks
Free Trial is available
WhereScape RED
Free Trial is available
Ratings
Meets Requirements
8.9
593
7.6
33
Ease of Use
8.9
608
7.5
34
Ease of Setup
8.7
481
7.7
14
Ease of Admin
8.3
183
7.4
12
Quality of Support
8.7
570
6.6
34
Has the product been a good partner in doing business?
8.9
187
7.2
10
Product Direction (% positive)
9.6
581
6.0
32
Features by Category
Reports
8.6
15
Not enough data
7.9
12
Not enough data
8.6
13
Not enough data
8.2
10
Not enough data
9.1
16
Not enough data
Data Preparation
9.0
7
Not enough data
9.0
8
Not enough data
Data Modeling and Blending
9.1
9
Not enough data
9.0
8
Not enough data
8.9
9
Not enough data
Generative AI
9.2
10
Not enough data
9.3
7
Not enough data
Agentic AI - Analytics Platforms
9.4
8
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.5
8
Not enough data
9.3
7
Not enough data
9.4
6
Not enough data
Self Service
7.9
11
Not enough data
7.9
11
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.3
12
Not enough data
8.1
9
Not enough data
Deployment & Integration - Analytics Platforms
8.3
8
Not enough data
9.3
9
Not enough data
8.8
7
Not enough data
9.3
7
Not enough data
Advanced Analytics
8.5
12
Not enough data
8.3
12
Not enough data
9.2
14
Not enough data
Performance & Scalability - Analytics Platforms
9.0
8
Not enough data
9.7
5
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.1
9
Not enough data
8.7
9
Not enough data
8.8
7
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.8
8
Not enough data
9.0
8
Not enough data
9.0
7
Not enough data
8.8
8
Not enough data
Personalized Intelligence - Analytics Platforms
9.3
7
Not enough data
8.1
9
Not enough data
8.5
8
Not enough data
Building Reports
9.0
157
Not enough data
8.6
148
Not enough data
7.6
124
Not enough data
8.4
149
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
100
Not enough data
8.6
94
Not enough data
9.0
95
Not enough data
8.7
99
Not enough data
Management
8.5
88
Not enough data
8.6
87
Not enough data
8.7
89
Not enough data
8.5
88
Not enough data
8.8
87
Not enough data
Compliance
8.9
100
Not enough data
8.7
93
Not enough data
8.9
95
Not enough data
8.7
96
Not enough data
Security
9.0
89
Not enough data
8.9
87
Not enough data
8.8
87
Not enough data
Data Quality
9.0
95
Not enough data
8.7
94
Not enough data
9.0
94
Not enough data
Maintainence
8.7
86
Not enough data
8.8
85
Not enough data
Generative AI
8.4
83
Not enough data
8.5
82
Not enough data
Agentic AI - Data Governance
8.6
11
Not enough data
8.9
12
Not enough data
9.1
15
Not enough data
8.6
13
Not enough data
9.1
13
Not enough data
9.0
14
Not enough data
Management
8.6
173
6.9
12
8.5
165
7.8
12
Functionality
9.1
177
8.1
12
9.2
179
8.1
12
9.1
174
7.9
12
9.0
168
8.5
12
9.1
170
7.5
12
Deployment
8.9
65
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
68
Not enough data
Deployment
8.9
62
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
64
Not enough data
8.9
66
Not enough data
9.2
61
Not enough data
9.0
69
Not enough data
Operations
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Not enough data
Management
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
181
Not enough data
Model Development
8.7
184
Not enough data
8.0
188
Not enough data
8.3
187
Not enough data
8.7
192
Not enough data
Model Development
8.5
173
Not enough data
Machine/Deep Learning Services
8.2
175
Not enough data
8.5
181
Not enough data
8.3
173
Not enough data
8.2
173
Not enough data
Machine/Deep Learning Services
8.4
159
Not enough data
8.4
161
Not enough data
Deployment
8.5
180
Not enough data
8.7
181
Not enough data
9.0
189
Not enough data
Generative AI
8.2
87
Not enough data
8.4
88
Not enough data
7.6
87
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.3
9
Not enough data
8.5
8
Not enough data
8.3
9
Not enough data
8.8
8
Not enough data
9.2
11
Not enough data
8.8
7
Not enough data
9.4
8
Not enough data
Data Management
9.1
186
|
Verified
Not enough data
8.9
181
|
Verified
Not enough data
8.9
182
|
Verified
Not enough data
8.8
181
|
Verified
Not enough data
8.7
168
|
Verified
Not enough data
9.1
173
|
Verified
Not enough data
Integration
8.8
169
|
Verified
Not enough data
8.8
168
|
Verified
Not enough data
9.1
177
|
Verified
Not enough data
Deployment
7.9
157
|
Verified
Not enough data
9.2
179
|
Verified
Not enough data
Performance
9.2
180
|
Verified
Not enough data
Security
8.9
171
|
Verified
Not enough data
8.9
169
|
Verified
Not enough data
Generative AI
8.5
77
Not enough data
8.4
76
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
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
9.0
69
Not enough data
8.8
71
Not enough data
8.8
69
Not enough data
9.1
70
Not enough data
Agentic AI - DataOps Platforms
9.2
10
Not enough data
9.0
8
Not enough data
9.0
10
Not enough data
9.1
9
Not enough data
9.4
9
Not enough data
Analytics
8.8
68
Not enough data
8.6
68
Not enough data
Monitoring and Management
8.6
68
Not enough data
8.6
69
Not enough data
Cloud Deployment
9.0
64
Not enough data
9.0
65
Not enough data
Generative AI
9.0
37
Not enough data
8.9
37
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
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
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
Database
8.7
238
Not enough data
8.9
247
Not enough data
9.3
265
Not enough data
Integrations
8.3
220
Not enough data
9.1
269
Not enough data
Platform
8.9
261
Not enough data
8.9
255
Not enough data
9.1
269
Not enough data
Processing
9.0
248
Not enough data
9.0
254
Not enough data
Data Transformation
8.9
229
Not enough data
9.1
237
Not enough data
Connectivity
8.7
208
Not enough data
9.2
232
Not enough data
9.0
222
Not enough data
9.2
231
Not enough data
Operations
8.4
230
Not enough data
8.8
229
Not enough data
8.6
214
Not enough data
8.6
210
Not enough data
9.3
232
Not enough data
Building Reports
9.0
157
Not enough data
8.6
148
Not enough data
7.6
124
Not enough data
8.4
149
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 and WhereScape RED are categorized as ETL Tools
Unique Categories
Databricks is categorized as DataOps Platforms, MLOps Platforms, Data Governance, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Analytics Platforms, Data Warehouse, Database Management Systems (DBMS), Generative AI Infrastructure, AI Agent Builders, and AI Gateways
WhereScape RED is categorized as Data Warehouse Automation, Big Data Integration Platforms, and Data Extraction
Reviews
Reviewers' Company Size
Databricks
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
15.7%
Financial Services
10.3%
Computer Software
8.7%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
57.7%
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
BK
Lakehouse architecture is the merging of the data warehouse and data lake concepts into a single platform, with built-in support for lineage maintenance and ML.Read more
What are the features of Databricks?
4 Comments
SM
Delta Lake
Lakehosue platform
Schema evolution
Data quarantine & Data Quality
Data Integration & TransformationsRead more
What does Databricks software do?
3 Comments
SM
It will work like Hadoop, databricks provide the services like big data.
Databricks also work like in advanced level it's have capability to process large...Read more
WhereScape RED has no discussions with answers
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