Compare Databricks Data Intelligence Platform and VMware Greenplum 
Featured Products
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
(658)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.
- G2 reviewers report that the Databricks Data Intelligence Platform excels in user satisfaction, boasting a significantly higher overall score compared to VMware Greenplum. Users appreciate its ability to scale large language models and generative AI applications, highlighting its unified management of security and data access across multiple cloud environments.
- Users say that the ease of use of Databricks is a standout feature, with many praising its intuitive interface and interactive notebooks that support both SQL and Python for data visualization. In contrast, while VMware Greenplum offers powerful capabilities, some users find it less user-friendly, which can impact day-to-day usability.
- Reviewers mention that Databricks provides a quick implementation process, with many noting the effectiveness of its autoscale feature in reducing cloud resource costs. On the other hand, VMware Greenplum, while recognized for its modern architecture and performance improvements in large tables, may require more time for setup and configuration.
- According to verified reviews, the quality of support for Databricks is highly rated, with users reporting timely assistance when needed. In comparison, VMware Greenplum's support is viewed as adequate but not as consistently praised, which could be a consideration for teams needing reliable help.
- G2 reviewers highlight that Databricks shines in scalability, with users noting its ability to handle large datasets efficiently. VMware Greenplum also offers scalability through its MPP architecture, but some users feel that Databricks provides a more seamless experience in this area.
- Users express that while both platforms cater to enterprise needs, Databricks has a broader appeal due to its innovative features and higher satisfaction ratings. VMware Greenplum is appreciated for its powerful database capabilities, but it may not meet the same level of user expectations in terms of overall experience.
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
538
8.4
44
Ease of Use
8.9
549
8.3
42
Ease of Setup
8.7
422
8.1
22
Ease of Admin
8.3
176
8.2
23
Quality of Support
8.7
513
8.0
38
Has the product been a good partner in doing business?
8.9
180
8.6
22
Product Direction (% positive)
9.6
527
8.3
40
Features by Category
Reports
8.2
11
Not enough data
7.4
9
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.8
12
Not enough data
Data Preparation
8.9
6
Not enough data
8.8
7
Not enough data
Data Modeling and Blending
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
Generative AI
9.0
8
Not enough data
9.2
6
Not enough data
Agentic AI - Analytics Platforms
9.3
7
Not enough data
8.7
5
Not enough data
9.0
5
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
9.7
6
Not enough data
9.3
5
Not enough data
Self Service
7.7
10
Not enough data
7.7
10
Not enough data
8.3
10
Not enough data
7.9
11
Not enough data
8.2
11
Not enough data
7.9
8
Not enough data
Deployment & Integration - Analytics Platforms
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Advanced Analytics
8.2
10
Not enough data
8.2
11
Not enough data
8.8
10
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
8.8
7
Not enough data
8.3
7
Not enough data
8.6
6
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Personalized Intelligence - Analytics Platforms
9.2
6
Not enough data
7.9
8
Not enough data
8.9
6
Not enough data
Building Reports
8.9
137
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.4
140
Not enough data
Administration
8.8
97
Not enough data
8.6
93
Not enough data
9.0
93
Not enough data
8.7
95
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
87
Not enough data
8.5
87
Not enough data
8.7
85
Not enough data
Compliance
8.8
97
Not enough data
8.7
92
Not enough data
8.8
92
Not enough data
8.7
93
Not enough data
Security
9.0
85
Not enough data
8.9
85
Not enough data
8.8
86
Not enough data
Data Quality
9.0
93
Not enough data
8.7
93
Not enough data
8.9
92
Not enough data
Maintainence
8.7
85
Not enough data
8.8
83
Not enough data
Generative AI
8.4
82
Not enough data
8.5
81
Not enough data
Agentic AI - Data Governance
8.5
10
Not enough data
8.8
11
Not enough data
9.0
14
Not enough data
8.5
12
Not enough data
9.0
12
Not enough data
9.0
13
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
178
Not enough data
Model Development
8.8
182
Not enough data
7.9
187
Not enough data
8.3
184
Not enough data
8.6
187
Not enough data
Model Development
8.5
171
Not enough data
Machine/Deep Learning Services
8.2
173
Not enough data
8.5
179
Not enough data
8.2
170
Not enough data
8.2
172
Not enough data
Machine/Deep Learning Services
8.4
158
Not enough data
8.4
160
Not enough data
Deployment
8.5
176
Not enough data
8.7
179
Not enough data
9.0
185
Not enough data
Generative AI
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.1
9
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
181
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.8
174
|
Verified
Not enough data
8.8
178
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
170
|
Verified
Not enough data
Integration
8.8
167
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
9.1
172
|
Verified
Not enough data
Deployment
7.9
155
|
Verified
9.0
5
|
Verified
9.1
176
|
Verified
Not enough data
Performance
9.1
176
|
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
67
Not enough data
8.8
67
Not enough data
9.1
66
Not enough data
Agentic AI - DataOps Platforms
9.0
8
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
66
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
62
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
229
Not enough data
8.9
235
Not enough data
9.3
242
Not enough data
Integrations
8.3
217
Not enough data
9.1
244
Not enough data
Platform
9.0
236
Not enough data
8.8
234
Not enough data
9.1
244
Not enough data
Processing
9.0
233
Not enough data
9.0
230
Not enough data
Data Transformation
8.8
223
Not enough data
9.0
229
Not enough data
Connectivity
8.7
205
Not enough data
9.2
229
Not enough data
9.0
219
Not enough data
9.2
227
Not enough data
Operations
8.4
225
Not enough data
8.8
220
Not enough data
8.6
210
Not enough data
8.6
209
Not enough data
9.3
224
Not enough data
Building Reports
8.9
137
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.4
140
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
15.1%
Financial Services
11.1%
Computer Software
8.3%
Consulting
3.7%
Hospital & Health Care
3.6%
Other
58.2%
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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