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Compare Databricks Data Intelligence Platform and VMware Greenplum 
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At a Glance
Market Segments
Enterprise (46.0% of reviews)
Enterprise (46.3% 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 PlatformVMware Greenplum
Star Rating
(60)4.3 out of 5
Market Segments
Enterprise (46.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about VMware GreenplumSummary
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, indicating a seamless process for managing data workflows. In contrast, VMware Greenplum received a lower score of 8.6 in this area, suggesting it may not be as efficient in handling complex workflows.
- Reviewers mention that Databricks offers superior Data Lake Analytics capabilities with a score of 8.8, allowing for robust data analysis directly within data lakes. Meanwhile, VMware Greenplum scored 9.1 in Data Lake functionality, indicating strong support for data lakes but potentially lacking in advanced analytics features.
- G2 users highlight that Databricks provides excellent Model Registry features with a score of 8.9, which facilitates better management of machine learning models. On the other hand, VMware Greenplum scored 8.6 in Model Training, suggesting it may not offer the same level of model management capabilities.
- Users on G2 report that Databricks shines in Data Integration with a score of 9.0, making it easier to combine data from various sources. In comparison, VMware Greenplum scored 8.9, indicating it is also strong in this area but may not be as user-friendly for integration tasks.
- Reviewers mention that VMware Greenplum has a notable advantage in On-Premise Deployment with a score of 9.0, making it a preferred choice for organizations requiring robust on-premise solutions. Conversely, Databricks scored 7.5, which may deter users looking for strong on-premise capabilities.
- Users say that Databricks provides a more intuitive Ease of Use experience with a score of 8.7, which is higher than VMware Greenplum's score of 8.3. This suggests that Databricks may be more accessible for new users or teams without extensive technical expertise.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableVMware Greenplum
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
VMware Greenplum
No trial information availableRatings
Meets Requirements
8.9
518
8.4
44
Ease of Use
8.8
527
8.3
42
Ease of Setup
8.7
400
8.1
22
Ease of Admin
8.3
171
8.2
23
Quality of Support
8.7
493
8.0
38
Has the product been a good partner in doing business?
8.8
174
8.6
22
Product Direction (% positive)
9.6
506
8.3
40
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
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
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
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
9.0
5
|
Verified
9.1
175
|
Verified
Not enough data
Performance
9.1
175
|
Verified
8.7
5
|
Verified
Security
8.8
165
|
Verified
9.3
5
|
Verified
8.9
166
|
Verified
9.3
5
|
Verified
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
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 VMware Greenplum are categorized as Data Warehouse
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, and Analytics Platforms
VMware Greenplum has no unique categories
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
VMware Greenplum
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%
Information Technology and Services
14.8%
Internet
11.1%
Financial Services
7.4%
Computer Software
7.4%
Banking
7.4%
Other
51.9%
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
Does it have the capability to use Metadata agent Query Management?
1 Comment
RG
Yes it has this capability and optimises the queryRead more
VMware Greenplum has no more discussions with answers
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