Compare Databricks and OpenText Vertica 
At a Glance
Market Segments
Enterprise (45.1% of reviews)
Enterprise (44.6% of reviews)
Entry-Level Pricing
No pricing available
Free
Databricks
Star Rating
(721)4.6 out of 5
Market Segments
Enterprise (45.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksOpenText 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.
- G2 reviewers report that Databricks excels in simplifying the entire data workflow, allowing users to manage data processing, analysis, and machine learning all in one place. This integration is highlighted by features like Genie and Lakehouse Connect, which enhance user experience and efficiency.
- Users say that OpenText Vertica is particularly strong for handling large datasets and complex queries, making it a preferred choice for analytics and Big Data. Reviewers appreciate its ability to process millions of rows in real-time and its flexibility in managing multiple tasks simultaneously.
- According to verified reviews, Databricks has a significant edge in user satisfaction, reflected in its higher G2 Score. Users frequently mention the value of the Unity Catalog for centralized governance and fine-grained access control, which streamlines data management for enterprises.
- Reviewers mention that while OpenText Vertica is effective for heavy data processing, it may not match the ease of use and setup that Databricks offers. Users have noted that Databricks provides a more intuitive onboarding experience, which can be crucial for teams looking to get up and running quickly.
- G2 reviewers highlight that Databricks' cloud capabilities are superior, with features that support real-time data collection and advanced analytics. This is complemented by a robust notebook environment that facilitates collaboration and data exploration, making it a favorite among data scientists.
- Users report that OpenText Vertica's strengths lie in its data lake integration and compression capabilities, which enhance data analytics. However, they also note that the platform could benefit from improvements in user support and product direction compared to the more consistently praised support from Databricks.
Pricing
Entry-Level Pricing
Databricks
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
Free Trial is available
OpenText Vertica
Free Trial is available
Ratings
Meets Requirements
8.9
567
8.6
147
Ease of Use
8.9
578
8.5
148
Ease of Setup
8.7
450
8.1
84
Ease of Admin
8.3
181
8.3
89
Quality of Support
8.7
542
8.1
146
Has the product been a good partner in doing business?
8.9
185
8.3
87
Product Direction (% positive)
9.6
555
8.0
143
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
8.9
14
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
9.1
9
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
8.3
6
Not enough data
8.3
6
Not enough data
8.3
7
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
8.5
11
Not enough data
8.1
12
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
8.3
11
Not enough data
8.2
11
Not enough data
9.0
12
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.0
8
Not enough data
8.5
8
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
8.3
7
Not enough data
Building Reports
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
Not enough data
Administration
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
97
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
8.8
86
Not enough data
Compliance
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Not enough data
Security
9.0
86
Not enough data
8.9
85
Not enough data
8.8
86
Not enough data
Data Quality
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
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
171
Not enough data
8.5
164
Not enough data
Functionality
9.1
172
Not enough data
9.2
174
Not enough data
9.1
172
Not enough data
9.0
167
Not enough data
9.1
167
Not enough data
Deployment
8.9
64
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
67
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
63
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
8.9
68
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
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
180
Not enough data
Model Development
8.8
182
Not enough data
7.9
187
Not enough data
8.3
186
Not enough data
8.7
190
Not enough data
Model Development
8.5
172
Not enough data
Machine/Deep Learning Services
8.2
174
Not enough data
8.5
180
Not enough data
8.3
172
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
178
Not enough data
8.7
180
Not enough data
9.0
187
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
9.2
10
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
185
|
Verified
8.4
71
|
Verified
8.9
180
|
Verified
8.5
72
|
Verified
8.9
179
|
Verified
8.6
73
8.8
180
|
Verified
8.5
66
|
Verified
8.7
167
|
Verified
7.9
43
|
Verified
9.1
171
|
Verified
8.4
49
|
Verified
Integration
8.8
168
|
Verified
7.7
43
|
Verified
8.8
166
|
Verified
8.4
65
|
Verified
9.1
174
|
Verified
8.2
50
|
Verified
Deployment
7.9
156
|
Verified
8.3
66
|
Verified
9.1
178
|
Verified
7.9
51
|
Verified
Performance
9.1
177
|
Verified
8.3
71
|
Verified
Security
8.8
168
|
Verified
8.3
66
|
Verified
8.9
168
|
Verified
8.5
67
|
Verified
Generative AI
8.5
76
8.3
8
8.4
75
7.9
8
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
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
68
Not enough data
8.7
69
Not enough data
8.8
68
Not enough data
9.1
68
Not enough data
Agentic AI - DataOps Platforms
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
Analytics
8.8
67
Not enough data
8.5
67
Not enough data
Monitoring and Management
8.6
67
Not enough data
8.6
68
Not enough data
Cloud Deployment
9.0
63
Not enough data
9.0
64
Not enough data
Generative AI
8.9
36
Not enough data
8.9
36
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
236
8.6
48
8.9
243
8.7
47
9.3
256
8.6
47
Integrations
8.3
220
8.4
41
9.1
256
8.1
39
Platform
9.0
246
8.3
37
8.8
246
8.4
44
9.1
256
8.1
39
Processing
9.0
242
8.3
41
9.0
242
8.7
46
Data Transformation
8.8
226
Not enough data
9.1
232
Not enough data
Connectivity
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
230
Not enough data
Operations
8.4
227
Not enough data
8.8
224
Not enough data
8.6
212
Not enough data
8.6
209
Not enough data
9.3
229
Not enough data
Building Reports
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
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 OpenText Vertica are categorized as Big Data Processing and Distribution and Data Warehouse
Reviews
Reviewers' Company Size
Databricks
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
15.4%
Financial Services
10.6%
Computer Software
8.5%
Consulting
3.7%
Hospital & Health Care
3.7%
Other
57.9%
Computer Software
19.0%
Information Technology and Services
17.4%
Financial Services
6.7%
Hospital & Health Care
5.6%
Marketing and Advertising
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?
4 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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