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At a Glance
Market Segments
Enterprise (36.6% of reviews)
Enterprise (68.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
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.dataTeradata Vantage
Star Rating
(360)4.3 out of 5
Market Segments
Enterprise (68.5% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Teradata VantageSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Teradata Vantage excels in Data Preparation with a score of 9.0, highlighting its intuitive interface and powerful ETL capabilities, while IBM watsonx.data, with a score of 8.5, is noted for its flexibility but lacks some advanced features that users find essential.
- Reviewers mention that Teradata Vantage offers superior Ease of Use (8.3) compared to IBM watsonx.data (7.9), with many users appreciating its user-friendly dashboard and streamlined workflows, making it easier for teams to adopt and utilize effectively.
- G2 users indicate that Teradata Vantage shines in Data Distribution with a score of 8.8, allowing for efficient data sharing across departments, whereas IBM watsonx.data, scoring 8.7, is praised for its integration capabilities but is seen as slightly less efficient in this area.
- Users on G2 highlight that Teradata Vantage has a strong Quality of Support (8.3), with many reviewers appreciating the responsiveness and expertise of the support team, while IBM watsonx.data (8.1) is noted for decent support but with longer response times reported by some users.
- Reviewers mention that IBM watsonx.data leads in Real-Time Data Collection (8.6), with users praising its ability to handle streaming data effectively, while Teradata Vantage (7.9) is seen as more robust for batch processing but less optimal for real-time scenarios.
- Users say that both products have strong Cloud Processing capabilities, with Teradata Vantage scoring 8.6 and IBM watsonx.data slightly higher at 8.8, but Teradata is often highlighted for its seamless integration with existing cloud infrastructures, making it a preferred choice for enterprises.
Pricing
Entry-Level Pricing
IBM watsonx.data
No pricing availableTeradata Vantage
No pricing availableFree Trial
IBM watsonx.data
Free Trial is available
Teradata Vantage
Free Trial is available
Ratings
Meets Requirements
8.5
70
8.7
281
Ease of Use
8.0
82
8.3
284
Ease of Setup
7.6
75
8.0
143
Ease of Admin
7.6
30
8.0
111
Quality of Support
8.3
65
8.3
263
Has the product been a good partner in doing business?
8.0
29
8.2
113
Product Direction (% positive)
9.2
70
8.3
281
Features by Category
Reports
Not enough data
7.7
64
Not enough data
8.1
63
Not enough data
7.0
61
Not enough data
7.5
61
Not enough data
7.4
57
Data Preparation
Not enough data
8.3
52
Not enough data
8.2
50
Data Modeling and Blending
Not enough data
9.0
46
Not enough data
8.8
45
Not enough data
8.1
44
Generative AI
Not enough data
6.5
39
Not enough data
6.4
38
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
Not enough data
8.4
60
Not enough data
8.5
62
Not enough data
8.4
62
Not enough data
8.1
61
Not enough data
7.7
61
Not enough data
7.2
57
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
Not enough data
7.9
62
Not enough data
7.0
62
Not enough data
8.3
59
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
Not enough data
8.5
91
Not enough data
8.4
87
Not enough data
7.2
79
Not enough data
7.8
82
Administration
8.0
5
8.7
21
7.0
5
8.2
20
8.0
5
8.1
19
7.7
5
7.0
19
Management
8.3
5
8.0
20
8.3
5
8.2
19
8.0
5
7.9
21
7.7
5
7.7
20
8.3
5
7.1
20
Compliance
8.0
5
8.7
21
7.0
5
8.3
21
7.7
5
8.8
20
7.7
5
8.7
19
Security
8.6
6
8.8
20
9.2
6
8.8
20
8.6
6
8.1
19
Data Quality
8.3
5
8.7
21
8.3
5
8.9
21
8.3
5
8.5
20
Maintainence
8.3
5
8.4
19
8.7
5
8.0
19
Generative AI
Not enough data
5.6
18
Not enough data
5.6
18
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
System
Not enough data
Not enough data
Model Development
Not enough data
8.3
6
Not enough data
8.0
5
Not enough data
7.7
5
Not enough data
8.3
5
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
7.7
5
Not enough data
7.7
5
Not enough data
7.7
5
Not enough data
8.0
5
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
Platform Basics
Not enough data
9.0
14
Not enough data
9.0
13
Platform Data
Not enough data
9.0
12
Not enough data
8.7
13
Not enough data
8.5
14
Not enough data
8.7
13
Platform Additional Functionality
Not enough data
8.3
13
Not enough data
8.8
14
Not enough data
8.8
14
Agentic AI - Customer Journey Analytics
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
8.3
66
|
Verified
8.6
6
8.3
67
|
Verified
8.3
6
8.3
62
|
Verified
8.3
6
8.2
61
|
Verified
7.5
6
7.0
50
|
Verified
8.1
6
7.3
49
|
Verified
Integration
8.6
6
7.1
59
|
Verified
8.3
6
8.2
63
|
Verified
8.6
6
8.0
59
|
Verified
Deployment
8.1
6
8.4
65
|
Verified
9.4
6
7.9
60
|
Verified
Performance
8.6
6
8.5
67
|
Verified
Security
9.2
6
7.9
60
|
Verified
9.4
6
8.2
54
|
Verified
Generative AI
8.3
5
5.5
40
8.7
5
5.5
41
Management
Not enough data
7.9
16
Not enough data
7.8
15
Not enough data
9.2
16
Not enough data
8.3
14
Not enough data
8.7
14
Maintenance
Not enough data
8.6
16
Not enough data
7.9
15
Not enough data
8.9
16
Security
Not enough data
8.6
13
Not enough data
9.0
16
Management
Not enough data
8.9
32
Not enough data
8.8
31
Not enough data
8.7
30
Not enough data
8.7
28
Support
Not enough data
8.3
30
Not enough data
8.6
32
Not enough data
8.5
31
Not enough data
8.8
28
Security
Not enough data
8.7
31
Not enough data
8.6
32
Not enough data
8.6
30
Not enough data
8.8
30
Performance
Not enough data
8.7
29
Not enough data
8.5
31
Not enough data
8.9
32
Not enough data
8.9
30
Not enough data
8.7
34
Database Features
Not enough data
9.0
115
Not enough data
9.2
117
Not enough data
8.9
117
Not enough data
8.7
114
Not enough data
8.7
116
Not enough data
8.8
115
Not enough data
8.8
117
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
7.9
26
8.8
27
8.8
25
8.6
28
8.2
26
Integrations
8.3
28
7.9
24
8.5
27
8.1
25
Platform
8.4
27
8.7
27
8.6
28
9.0
27
8.5
27
8.1
25
Processing
8.8
27
8.6
23
8.9
25
8.7
26
Data Transformation
7.2
9
8.2
36
7.2
9
9.0
36
Connectivity
7.2
9
7.4
34
7.4
9
7.5
34
8.0
9
7.9
36
7.4
9
8.0
36
Operations
7.5
10
7.7
35
8.0
10
7.8
35
8.0
9
7.7
34
6.8
10
7.3
37
7.8
10
7.5
34
Building Reports
Not enough data
8.5
91
Not enough data
8.4
87
Not enough data
7.2
79
Not enough data
7.8
82
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 Teradata Vantage are categorized as Big Data Processing and Distribution, Big Data Analytics, Data Governance, Data Science and Machine Learning Platforms, and Data Warehouse
Unique Categories
IBM watsonx.data is categorized as Data as a Service (DaaS) and ETL Tools
Teradata Vantage is categorized as Customer Journey Analytics, Analytics Platforms, Database Management Systems (DBMS), and Relational Databases
Reviews
Reviewers' Company Size
IBM watsonx.data
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Teradata Vantage
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%
Information Technology and Services
16.8%
Financial Services
14.1%
Banking
11.5%
Retail
7.1%
Telecommunications
6.8%
Other
43.8%
Alternatives
Discussions
IBM watsonx.data has no discussions with answers
Teradata Vantage has no discussions with answers
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