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Compare Databricks Data Intelligence Platform and OpenText Vertica 
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At a Glance
Market Segments
Enterprise (46.1% of reviews)
Enterprise (44.6% of reviews)
Entry-Level Pricing
No pricing available
Free
Databricks Data Intelligence Platform
Star Rating
(633)4.6 out of 5
Market Segments
Enterprise (46.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformOpenText Vertica
Star Rating
(216)4.3 out of 5
Market Segments
Enterprise (44.6% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Free
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that OpenText Vertica excels in data ingestion and wrangling with a score of 8.8, making it a strong choice for organizations needing to handle large volumes of data efficiently. In contrast, Databricks Data Intelligence Platform also performs well in this area but has a slightly lower score of 8.4, indicating that while it is capable, it may not be as robust as Vertica in this specific functionality.
- Reviewers mention that Databricks shines in data integration, scoring 9.0, which is higher than OpenText Vertica's score of 8.4. This suggests that Databricks offers more seamless connections with various data sources, making it a preferred option for users looking for extensive integration capabilities.
- G2 users highlight that OpenText Vertica's reporting and visualization features, with a score of 8.1, provide solid functionality, but Databricks outperforms it with a score of 8.6. Users appreciate Databricks' advanced dashboard capabilities, which allow for more dynamic and interactive data presentations.
- Users on G2 report that OpenText Vertica's ease of setup is rated at 8.1, which some find to be a bit challenging compared to Databricks' score of 8.4. This indicates that Databricks may offer a more user-friendly onboarding experience, which can be crucial for teams looking to get started quickly.
- Reviewers mention that Databricks provides superior cloud deployment capabilities, scoring 8.9 compared to OpenText Vertica's 7.9. This suggests that Databricks is better suited for organizations looking to leverage cloud infrastructure for scalability and flexibility.
- Users say that OpenText Vertica's data quality management features are rated at 8.5, which is on par with Databricks' score of 8.6. However, users report that Databricks offers more automated workflows, making it easier to maintain data integrity over time.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableOpenText Vertica
Vertica Community Edition
Free
Free to use for up to 1TB and three nodes
- https://www.vertica.com/register/
Free Trial
Databricks Data Intelligence Platform
Free Trial is available
OpenText Vertica
Free Trial is available
Ratings
Meets Requirements
8.9
517
8.6
147
Ease of Use
8.8
526
8.5
148
Ease of Setup
8.7
399
8.1
84
Ease of Admin
8.3
170
8.3
89
Quality of Support
8.7
492
8.1
146
Has the product been a good partner in doing business?
8.8
173
8.3
87
Product Direction (% positive)
9.6
505
8.0
143
Features by Category
Reports
7.9
7
Not enough data
7.9
7
Not enough data
8.1
7
Not enough data
8.1
6
Not enough data
8.3
6
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
Not enough data
Not enough data
Not enough data
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
7.9
7
Not enough data
7.6
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
7.9
7
Not enough data
7.8
6
Not enough data
Deployment & Integration - 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
Advanced Analytics
8.3
7
Not enough data
8.3
6
Not enough data
8.6
6
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
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - 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
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Not enough data
Administration
8.8
94
Not enough data
8.7
91
Not enough data
9.0
92
Not enough data
8.7
93
Not enough data
Management
8.5
85
Not enough data
8.7
84
Not enough data
8.6
85
Not enough data
8.5
83
Not enough data
8.7
83
Not enough data
Compliance
8.8
92
Not enough data
8.7
91
Not enough data
8.9
90
Not enough data
8.7
90
Not enough data
Security
9.0
82
Not enough data
8.9
83
Not enough data
8.9
83
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
9.3
10
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
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
65
Not enough data
8.9
65
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
65
Not enough data
9.0
65
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
60
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
27
Not enough data
8.3
27
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
8.4
71
|
Verified
8.9
179
|
Verified
8.5
72
|
Verified
8.8
173
|
Verified
8.6
73
8.8
178
|
Verified
8.5
66
|
Verified
8.7
167
|
Verified
7.9
43
|
Verified
9.1
169
|
Verified
8.4
49
|
Verified
Integration
8.8
166
|
Verified
7.7
43
|
Verified
8.8
165
|
Verified
8.4
65
|
Verified
9.1
172
|
Verified
8.2
50
|
Verified
Deployment
7.9
154
|
Verified
8.3
66
|
Verified
9.1
175
|
Verified
7.9
51
|
Verified
Performance
9.1
175
|
Verified
8.3
71
|
Verified
Security
8.8
165
|
Verified
8.3
66
|
Verified
8.9
166
|
Verified
8.5
67
|
Verified
Generative AI
8.5
76
8.3
8
8.4
75
7.9
8
Storage
Not enough data
8.4
22
Not enough data
8.0
22
Availability
Not enough data
8.4
20
Not enough data
8.2
22
Not enough data
8.6
22
Performance
Not enough data
8.5
21
Security
Not enough data
8.4
22
Not enough data
8.6
22
Not enough data
8.2
19
Not enough data
8.2
21
Support
Not enough data
8.4
15
Not enough data
8.3
17
Data Management
9.0
66
Not enough data
8.7
66
Not enough data
8.8
67
Not enough data
9.1
64
Not enough data
Agentic AI - DataOps Platforms
8.8
7
Not enough data
8.6
6
Not enough data
9.2
6
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
65
Not enough data
8.5
65
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
8.6
48
8.9
228
8.7
47
9.3
230
8.6
47
Integrations
8.3
211
8.4
41
9.2
232
8.1
39
Platform
9.0
225
8.3
37
8.8
228
8.4
44
9.2
232
8.1
39
Processing
9.0
224
8.3
41
9.0
223
8.7
46
Data Transformation
8.8
220
Not enough data
9.0
227
Not enough data
Connectivity
8.7
203
Not enough data
9.2
226
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
208
Not enough data
8.6
206
Not enough data
9.3
221
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
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 OpenText Vertica are categorized as Big Data Processing and Distribution and Data Warehouse
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, ETL Tools, Big Data Analytics, Data Science and Machine Learning Platforms, and Analytics Platforms
OpenText Vertica is categorized as Columnar Databases
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
OpenText Vertica
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
14.6%
Financial Services
11.3%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.4%
Computer Software
19.0%
Information Technology and Services
17.4%
Financial Services
6.7%
Telecommunications
5.6%
Retail
5.6%
Other
45.6%
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
Who uses Vertica and for what?
2 Comments
PR
A LOT of companies, from tiny startups to the biggest data companies.
7 of top 10 telecoms in world, including AT&T, plus companies like Anritsu that sell...Read more
Is it hard to learn to be a Vertica user? Admin?
2 Comments
PR
Also, check out the Vertica Academy: https://academy.vertica.com/ Free classes to learn how to admin Vertica, including certification. Read more
What’s the best use case for Vertica?
1 Comment
MG
For Finance: Fraud detection, Anti-money laundering, Risk management
For Government: Law enforcement, Counter terrorism, Traffic flow optimization
For...Read more
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