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At a Glance
Market Segments
Small-Business (87.5% of reviews)
Enterprise (68.5% of reviews)
Entry-Level Pricing
$30 per month
No pricing available
BigML
Star Rating
(24)4.7 out of 5
Market Segments
Small-Business (87.5% of reviews)
Entry-Level Pricing
$30 per month
Browse all 3 pricing plansTeradata 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.
- Reviews say that Teradata Vantage excels in handling large datasets and complex queries, making it a strong choice for enterprise-level analytics, while BigML is praised for its user-friendly interface and ease of use, particularly for small businesses looking to implement machine learning without extensive technical expertise.
- Users report that Teradata Vantage has robust features for data integration and advanced analytics, but some find the learning curve steep. In contrast, BigML users mention that the platform's simplicity and intuitive design allow for quicker onboarding and faster time-to-value.
- Reviewers mention that Teradata Vantage's support quality is solid, but users on G2 highlight that BigML's customer support is exceptional, with faster response times and more helpful resources, contributing to a higher overall satisfaction score.
- G2 users indicate that while Teradata Vantage is a powerful tool for large enterprises, it may not be as cost-effective for smaller businesses, which is reflected in BigML's entry-level price of $30 per month, making it more accessible for startups and small teams.
- Users say that Teradata Vantage meets requirements effectively for complex analytical needs, scoring 8.7, but BigML outperforms with a score of 9.2, as users appreciate its tailored features for machine learning projects, such as automated model building and easy deployment.
- Reviewers mention that while Teradata Vantage has a strong product direction, BigML's focus on continuous improvement and user feedback results in a more positive perception of its future capabilities, reflected in its higher score of 9.5 for product direction.
Pricing
Entry-Level Pricing
BigML
STANDARD
$30
per month
- UNLIMITED TASKS
- MAX. TASK SIZE: 64 MB
- MAX. PARALLEL TASKS: 2
Teradata Vantage
No pricing availableFree Trial
BigML
No trial information availableTeradata Vantage
Free Trial is available
Ratings
Meets Requirements
9.2
24
8.7
281
Ease of Use
9.0
24
8.3
284
Ease of Setup
9.2
22
8.0
143
Ease of Admin
9.3
22
8.0
111
Quality of Support
9.5
22
8.3
263
Has the product been a good partner in doing business?
9.1
22
8.2
113
Product Direction (% positive)
9.5
24
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
Not enough data
8.7
21
Not enough data
8.2
20
Not enough data
8.1
19
Not enough data
7.0
19
Management
Not enough data
8.0
20
Not enough data
8.2
19
Not enough data
7.9
21
Not enough data
7.7
20
Not enough data
7.1
20
Compliance
Not enough data
8.7
21
Not enough data
8.3
21
Not enough data
8.8
20
Not enough data
8.7
19
Security
Not enough data
8.8
20
Not enough data
8.8
20
Not enough data
8.1
19
Data Quality
Not enough data
8.7
21
Not enough data
8.9
21
Not enough data
8.5
20
Maintainence
Not enough data
8.4
19
Not enough data
8.0
19
Generative AI
Not enough data
5.6
18
Not enough data
5.6
18
Agentic AI - Data Governance
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
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
Not enough data
8.3
66
|
Verified
Not enough data
8.3
67
|
Verified
Not enough data
8.3
62
|
Verified
Not enough data
8.2
61
|
Verified
Not enough data
7.0
50
|
Verified
Not enough data
7.3
49
|
Verified
Integration
Not enough data
7.1
59
|
Verified
Not enough data
8.2
63
|
Verified
Not enough data
8.0
59
|
Verified
Deployment
Not enough data
8.4
65
|
Verified
Not enough data
7.9
60
|
Verified
Performance
Not enough data
8.5
67
|
Verified
Security
Not enough data
7.9
60
|
Verified
Not enough data
8.2
54
|
Verified
Generative AI
Not enough data
5.5
40
Not enough data
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 Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Decision Making
Not enough data
Not enough data
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
Database
Not enough data
7.9
26
Not enough data
8.8
25
Not enough data
8.2
26
Integrations
Not enough data
7.9
24
Not enough data
8.1
25
Platform
Not enough data
8.7
27
Not enough data
9.0
27
Not enough data
8.1
25
Processing
Not enough data
8.6
23
Not enough data
8.7
26
Data Transformation
Not enough data
8.2
36
Not enough data
9.0
36
Connectivity
Not enough data
7.4
34
Not enough data
7.5
34
Not enough data
7.9
36
Not enough data
8.0
36
Operations
Not enough data
7.7
35
Not enough data
7.8
35
Not enough data
7.7
34
Not enough data
7.3
37
Not enough data
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
BigML and Teradata Vantage are categorized as Data Science and Machine Learning Platforms
Unique Categories
BigML is categorized as Predictive Analytics and Low-Code Machine Learning Platforms
Teradata Vantage is categorized as Data Governance, Customer Journey Analytics, Big Data Processing and Distribution, Big Data Analytics, Analytics Platforms, Database Management Systems (DBMS), Relational Databases, and Data Warehouse
Reviews
Reviewers' Company Size
BigML
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
Computer Software
83.3%
Management Consulting
4.2%
International Trade and Development
4.2%
Electrical/Electronic Manufacturing
4.2%
Alternative Dispute Resolution
4.2%
Other
0.0%
Information Technology and Services
16.8%
Financial Services
14.1%
Banking
11.5%
Retail
7.1%
Telecommunications
6.8%
Other
43.8%
Alternatives
Discussions
BigML has no discussions with answers
Teradata Vantage has no discussions with answers
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