Introducing G2.ai, the future of software buying.Try now
Compare Azure Databricks and Teradata Vantage 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Starburst
Visit Website
At a Glance
Market Segments
Enterprise (49.5% of reviews)
Enterprise (68.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Databricks
Star Rating
(227)4.5 out of 5
Market Segments
Enterprise (49.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Azure DatabricksTeradata 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 Querying with a score of 9.1, while Azure Databricks slightly outperforms it with a score of 9.3, indicating that Databricks may offer more efficient querying capabilities.
- Reviewers mention that Azure Databricks shines in Notebooks, receiving a high score of 9.3, which enhances collaborative data analysis, whereas Teradata Vantage's score of 7.7 suggests it may not provide as robust a notebook experience.
- G2 users highlight that Teradata Vantage has a strong performance in Data Compression with a score of 8.4, which is crucial for managing large datasets, while Azure Databricks also performs well but does not specifically highlight this feature as a strength.
- Users on G2 report that Azure Databricks offers superior Data Visualization capabilities, scoring 8.3 compared to Teradata Vantage's 8.2, making it a better choice for users focused on visual data representation.
- Reviewers say that Teradata Vantage's Data Governance features are rated at 8.0, which is essential for compliance, but Azure Databricks has a more comprehensive approach to governance, reflected in its higher overall ratings in related areas.
- Users report that Azure Databricks provides better Integration APIs with a score of 8.7, facilitating easier connections with other tools, while Teradata Vantage's score of 7.7 indicates it may have limitations in this area.
Pricing
Entry-Level Pricing
Azure Databricks
No pricing availableTeradata Vantage
No pricing availableFree Trial
Azure Databricks
No trial information availableTeradata Vantage
Free Trial is available
Ratings
Meets Requirements
8.8
160
8.7
281
Ease of Use
8.7
161
8.3
284
Ease of Setup
8.6
75
8.0
143
Ease of Admin
8.5
61
8.0
111
Quality of Support
8.5
147
8.3
263
Has the product been a good partner in doing business?
8.8
60
8.2
113
Product Direction (% positive)
9.5
152
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
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
8.8
130
|
Verified
8.2
36
9.3
83
|
Verified
9.0
36
Connectivity
8.4
120
|
Verified
7.4
34
9.0
133
|
Verified
7.5
34
9.0
129
|
Verified
7.9
36
9.1
132
|
Verified
8.0
36
Operations
8.3
127
|
Verified
7.7
35
8.6
127
|
Verified
7.8
35
8.5
117
|
Verified
7.7
34
8.5
111
|
Verified
7.3
37
9.3
77
|
Verified
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
Azure Databricks and Teradata Vantage are categorized as Big Data Analytics
Unique Categories
Azure Databricks has no unique categories
Teradata Vantage is categorized as Data Governance, Customer Journey Analytics, Big Data Processing and Distribution, Analytics Platforms, Database Management Systems (DBMS), Relational Databases, Data Warehouse, and Data Science and Machine Learning Platforms
Reviews
Reviewers' Company Size
Azure Databricks
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
23.0%
Computer Software
12.0%
Retail
5.0%
Financial Services
4.5%
Hospital & Health Care
4.0%
Other
51.5%
Information Technology and Services
16.8%
Financial Services
14.1%
Banking
11.5%
Retail
7.1%
Telecommunications
6.8%
Other
43.8%
Alternatives
Discussions
Is Azure Databricks PaaS or SAAS?
2 Comments
PG
Its PaaS tool as it offers developers to build their ETL pipelines for large datasets using multi cluster environment of sparkRead more
What is the best way to databricks in ADF
1 Comment
AS
Firstly, you need to create a Linked Service for ADF to connect to your Databricks Cluster. You can connect to as many clusters as you want.
Then create a...Read more
Teradata Vantage has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
