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Compare Druid and VMware Greenplum 
Featured Products
At a Glance
Market Segments
Enterprise (57.1% of reviews)
Enterprise (46.3% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
Druid
Star Rating
(31)4.3 out of 5
Market Segments
Enterprise (57.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DruidVMware 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 GreenplumDruid vs VMware Greenplum
When assessing the two solutions, reviewers found VMware Greenplum easier to use, set up, and administer. Reviewers also preferred doing business with VMware Greenplum overall.
- Druid and VMware Greenplum both meet the requirements of our reviewers at a comparable rate.
- When comparing quality of ongoing product support, reviewers felt that VMware Greenplum is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of VMware Greenplum over Druid.
Pricing
Entry-Level Pricing
Druid
No pricing availableVMware Greenplum
No pricing availableFree Trial
Druid
Free Trial is available
VMware Greenplum
No trial information availableRatings
Meets Requirements
8.4
20
8.4
44
Ease of Use
8.0
20
8.3
42
Ease of Setup
6.4
7
8.1
22
Ease of Admin
6.4
7
8.2
23
Quality of Support
7.9
18
8.0
38
Has the product been a good partner in doing business?
7.7
5
8.6
22
Product Direction (% positive)
7.3
17
8.3
40
Features by Category
Data Management
8.3
5
Not enough data
8.0
5
Not enough data
8.7
5
Not enough data
8.7
5
Not enough data
Not enough data
Not enough data
8.0
5
Not enough data
Integration
Not enough data
Not enough data
7.0
5
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
9.0
5
|
Verified
8.3
5
Not enough data
Performance
8.3
5
8.7
5
|
Verified
Security
Not enough data
9.3
5
|
Verified
Not enough data
9.3
5
|
Verified
Generative AI
Not enough data
Not enough data
Not enough data
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
Support
Not enough data
Not enough data
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
Not enough data
Not enough data
Not enough data
Not enough data
Performance
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
Database Features
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
Storage
8.8
10
Not enough data
7.8
10
Not enough data
Availability
8.7
9
Not enough data
7.6
9
Not enough data
8.3
10
Not enough data
Performance
8.9
9
Not enough data
Security
8.1
8
Not enough data
9.3
7
Not enough data
8.7
10
Not enough data
8.5
8
Not enough data
Support
8.8
10
Not enough data
9.2
11
Not enough data
Query latency
Not enough data
Not enough data
Not enough data
Not enough data
Data latency
Not enough data
Not enough data
Not enough data
Not enough data
Connectors
Not enough data
Not enough data
Not enough data
Not enough data
Scale
Not enough data
Not enough data
Not enough data
Not enough data
Architecture
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.5
10
Not enough data
8.7
10
Not enough data
8.8
8
Not enough data
Integrations
8.8
8
Not enough data
8.1
9
Not enough data
Platform
8.5
9
Not enough data
8.7
9
Not enough data
8.1
9
Not enough data
Processing
8.6
7
Not enough data
8.7
9
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Druid and VMware Greenplum are categorized as Data Warehouse
Unique Categories
Druid is categorized as Real-time Analytic Database, Time Series Databases, Columnar Databases, Relational Databases, and Big Data Processing and Distribution
VMware Greenplum has no unique categories
Reviews
Reviewers' Company Size
Druid
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
Computer Software
28.6%
Telecommunications
10.7%
Leisure, Travel & Tourism
10.7%
Retail
7.1%
Information Technology and Services
7.1%
Other
35.7%
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
Is it good to use Druid (for a small dataset) as an in-memory database ?
1 Comment
DG
Yes it is good for medium size data sets to big scale datasetsRead more
Druid has no more discussions with answers
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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