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At a Glance
Market Segments
Enterprise (36.6% of reviews)
Enterprise (44.6% of reviews)
Entry-Level Pricing
No pricing available
Free
IBM watsonx.data
Star Rating
(93)4.3 out of 5
Market Segments
Enterprise (36.6% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about IBM watsonx.dataOpenText Vertica
Star Rating
(216)4.3 out of 5
Market Segments
Enterprise (44.6% of reviews)
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 Compression with a score of 8.5, allowing for efficient storage and retrieval of large datasets, while IBM watsonx.data, although strong, has a slightly lower focus on this feature.
- Reviewers mention that IBM watsonx.data shines in Workload Processing with a score of 9.1, indicating superior performance in handling complex queries and large volumes of data compared to OpenText Vertica's score of 8.7.
- G2 users highlight that OpenText Vertica's Data Quality score of 8.6 is a significant advantage, as it provides robust tools for ensuring data integrity, whereas IBM watsonx.data, while competent, does not match this level of emphasis.
- Users on G2 report that IBM watsonx.data offers better AI/ML Integration with a score of 8.8, making it a preferred choice for organizations looking to leverage machine learning capabilities, compared to OpenText Vertica's score of 7.7.
- Reviewers mention that OpenText Vertica's Ease of Setup is rated at 8.1, which is slightly better than IBM watsonx.data's 8.0, suggesting that users may find it easier to get started with Vertica.
- Users say that IBM watsonx.data provides superior Data Distribution capabilities with a score of 9.0, which is crucial for organizations needing to share data across various platforms, while OpenText Vertica scores 8.7 in this area.
Pricing
Entry-Level Pricing
IBM watsonx.data
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
IBM watsonx.data
Free Trial is available
OpenText Vertica
Free Trial is available
Ratings
Meets Requirements
8.5
70
8.6
147
Ease of Use
8.0
82
8.5
148
Ease of Setup
7.6
75
8.1
84
Ease of Admin
7.6
30
8.3
89
Quality of Support
8.3
65
8.1
146
Has the product been a good partner in doing business?
8.0
29
8.3
87
Product Direction (% positive)
9.2
70
8.0
143
Features by Category
Administration
8.0
5
Not enough data
7.0
5
Not enough data
8.0
5
Not enough data
7.7
5
Not enough data
Management
8.3
5
Not enough data
8.3
5
Not enough data
8.0
5
Not enough data
7.7
5
Not enough data
8.3
5
Not enough data
Compliance
8.0
5
Not enough data
7.0
5
Not enough data
7.7
5
Not enough data
7.7
5
Not enough data
Security
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
Data Quality
8.3
5
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
Maintainence
8.3
5
Not enough data
8.7
5
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Governance
6.0
5
Not enough data
6.0
5
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
Management
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
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
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
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
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning 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
Data Management
8.3
6
8.4
71
|
Verified
8.6
6
8.5
72
|
Verified
8.3
6
8.6
73
8.3
6
8.5
66
|
Verified
7.5
6
7.9
43
|
Verified
8.1
6
8.4
49
|
Verified
Integration
8.6
6
7.7
43
|
Verified
8.3
6
8.4
65
|
Verified
8.6
6
8.2
50
|
Verified
Deployment
8.1
6
8.3
66
|
Verified
9.4
6
7.9
51
|
Verified
Performance
8.6
6
8.3
71
|
Verified
Security
9.2
6
8.3
66
|
Verified
9.4
6
8.5
67
|
Verified
Generative AI
8.3
5
8.3
8
8.7
5
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
8.2
46
Not enough data
8.3
45
Not enough data
8.5
45
Not enough data
Data as a Service
8.3
45
Not enough data
8.5
45
Not enough data
Architecture
8.2
45
Not enough data
8.4
45
Not enough data
Database
8.6
28
8.6
48
8.8
27
8.7
47
8.6
28
8.6
47
Integrations
8.3
28
8.4
41
8.5
27
8.1
39
Platform
8.4
27
8.3
37
8.6
28
8.4
44
8.5
27
8.1
39
Processing
8.8
27
8.3
41
8.9
25
8.7
46
Data Transformation
7.2
9
Not enough data
7.2
9
Not enough data
Connectivity
7.2
9
Not enough data
7.4
9
Not enough data
8.0
9
Not enough data
7.4
9
Not enough data
Operations
7.5
10
Not enough data
8.0
10
Not enough data
8.0
9
Not enough data
6.8
10
Not enough data
7.8
10
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
IBM watsonx.data and OpenText Vertica are categorized as Big Data Processing and Distribution and Data Warehouse
Unique Categories
IBM watsonx.data is categorized as Data as a Service (DaaS), Big Data Analytics, Data Governance, Data Science and Machine Learning Platforms, and ETL Tools
OpenText Vertica is categorized as Columnar Databases
Reviews
Reviewers' Company Size
IBM watsonx.data
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
24.4%
Computer Software
14.6%
Consulting
8.5%
Financial Services
7.3%
Banking
6.1%
Other
39.0%
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
IBM watsonx.data has no discussions with answers
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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