Compare Azure Databricks and Teradata Vantage 
Featured Products
At a Glance
Market Segments
Enterprise (48.8% of reviews)
Enterprise (68.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Databricks
Star Rating
(232)4.5 out of 5
Market Segments
Enterprise (48.8% of reviews)
Pros & Cons
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)
Pros & Cons
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.
- G2 reviewers report that Azure Databricks excels in user experience, with many users finding its interface user-friendly after a brief learning curve. This is complemented by its seamless integration with other Azure services, which significantly enhances productivity.
- Users say that Teradata Vantage is highly reliable for large data analyses, often praised for its power and speed. Reviewers highlight its robust database functions available through SQL queries, making it a strong choice for enterprises needing dependable performance.
- According to verified reviews, Azure Databricks stands out for its advanced features like Delta Live Tables and Unity Catalog, which provide unified governance and data quality expectations. These features are particularly appealing for organizations looking to streamline their data workflows.
- Reviewers mention that while Teradata Vantage is a solid on-premise solution, it may face challenges in ease of setup compared to Azure Databricks, which benefits from a more intuitive onboarding process that users find less cumbersome.
- Users highlight that Azure Databricks offers superior capabilities in real-time analytics and multi-source analysis, with features like serverless SQL warehousing and Jupyter notebook integration, making it a favorite among data scientists and analysts.
- G2 reviewers note that while Teradata Vantage has a strong presence in the enterprise market, it may not match the overall satisfaction levels of Azure Databricks, which has garnered higher ratings for support quality and product direction, indicating a more responsive development approach.
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
8.9
164
8.7
281
Ease of Use
8.7
165
8.3
284
Ease of Setup
8.6
79
8.0
143
Ease of Admin
8.5
61
8.0
111
Quality of Support
8.5
151
8.3
263
Has the product been a good partner in doing business?
8.8
60
8.2
113
Product Direction (% positive)
9.5
155
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
8.9
134
|
Verified
8.2
36
9.3
86
|
Verified
9.0
36
Connectivity
8.4
121
|
Verified
7.4
34
9.0
137
|
Verified
7.5
34
9.0
129
|
Verified
7.9
36
9.2
135
|
Verified
8.0
36
Operations
8.3
128
|
Verified
7.7
35
8.6
129
|
Verified
7.8
35
8.5
119
|
Verified
7.7
34
8.5
112
|
Verified
7.3
37
9.3
81
|
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
23.5%
Computer Software
11.8%
Retail
4.9%
Financial Services
4.4%
Automotive
3.9%
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%
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
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