Compare Databricks and Teradata Vantage 
At a Glance
Market Segments
Enterprise (45.1% of reviews)
Enterprise (68.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(711)4.6 out of 5
Market Segments
Enterprise (45.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about 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 Databricks Data Intelligence Platform excels in user satisfaction, boasting a significantly higher overall score compared to Teradata Vantage. Users appreciate its seamless integration of AI into the data lakehouse, which enhances data analytics capabilities and speeds up calculations.
- According to verified reviews, Teradata Vantage is praised for its robust performance in handling large data analyses, with users highlighting its reliability and speed. However, some users feel it may not be as user-friendly as Databricks, which could impact day-to-day usability.
- Reviewers mention that Databricks offers a more intuitive setup process, making it easier for teams to get started quickly. Users have noted the platform's effective integration with external tools like Power BI, which enhances reporting capabilities and overall workflow.
- Users say that while Teradata Vantage provides strong database functions and SQL query capabilities, it may require more technical expertise to fully leverage its features. This can be a barrier for teams looking for a straightforward solution.
- G2 reviewers highlight the superior support and community engagement offered by Databricks, which contributes to a more positive user experience. Users have shared their satisfaction with the resources available for learning and troubleshooting, making it easier to navigate challenges.
- According to recent feedback, Teradata Vantage is recognized for its strong data governance features, but it faces challenges in keeping pace with the rapid advancements seen in Databricks, particularly in areas like cloud integration and real-time analytics.
Pricing
Entry-Level Pricing
Databricks
No pricing availableTeradata Vantage
No pricing availableFree Trial
Databricks
Free Trial is available
Teradata Vantage
Free Trial is available
Ratings
Meets Requirements
8.9
567
8.7
281
Ease of Use
8.9
578
8.3
284
Ease of Setup
8.7
450
8.0
143
Ease of Admin
8.3
181
8.0
111
Quality of Support
8.7
542
8.3
263
Has the product been a good partner in doing business?
8.9
185
8.2
113
Product Direction (% positive)
9.6
555
8.3
281
Features by Category
Reports
8.2
11
7.7
64
7.4
9
8.1
63
8.3
11
7.0
61
8.0
9
7.5
61
8.9
14
7.4
57
Data Preparation
8.9
6
8.3
52
8.8
7
8.2
50
Data Modeling and Blending
9.0
8
9.0
46
8.8
7
8.8
45
8.8
8
8.1
44
Generative AI
9.1
9
6.5
39
9.2
6
6.4
38
Agentic AI - Analytics Platforms
9.3
7
Not enough data
8.7
5
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
8.3
7
Not enough data
9.7
6
Not enough data
9.3
5
Not enough data
Self Service
7.7
10
8.4
60
7.7
10
8.5
62
8.5
11
8.4
62
8.1
12
8.1
61
8.2
11
7.7
61
7.9
8
7.2
57
Deployment & Integration - Analytics Platforms
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Advanced Analytics
8.3
11
7.9
62
8.2
11
7.0
62
9.0
12
8.3
59
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Personalized Intelligence - Analytics Platforms
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Not enough data
Building Reports
9.0
148
8.5
91
8.6
143
8.4
87
7.6
123
7.2
79
8.4
144
7.8
82
Administration
8.8
99
8.7
21
8.6
93
8.2
20
9.0
94
8.1
19
8.7
97
7.0
19
Management
8.4
87
8.0
20
8.6
86
8.2
19
8.6
87
7.9
21
8.5
87
7.7
20
8.8
86
7.1
20
Compliance
8.8
98
8.7
21
8.7
92
8.3
21
8.9
94
8.8
20
8.7
94
8.7
19
Security
9.0
86
8.8
20
8.9
85
8.8
20
8.8
86
8.1
19
Data Quality
9.0
94
8.7
21
8.7
93
8.9
21
9.0
93
8.5
20
Maintainence
8.7
85
8.4
19
8.8
83
8.0
19
Generative AI
8.4
82
5.6
18
8.5
81
5.6
18
Agentic AI - Data Governance
8.5
10
Not enough data
8.8
11
Not enough data
9.0
14
Not enough data
8.5
12
Not enough data
9.0
12
Not enough data
9.0
13
Not enough data
Management
8.6
171
Not enough data
8.5
164
Not enough data
Functionality
9.1
172
Not enough data
9.2
174
Not enough data
9.1
172
Not enough data
9.0
167
Not enough data
9.1
167
Not enough data
Deployment
8.9
64
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
67
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Not enough data
Management
9.0
63
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
8.9
68
Not enough data
Operations
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Not enough data
Management
8.8
60
Not enough data
8.7
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
180
Not enough data
Model Development
8.8
182
8.3
6
7.9
187
8.0
5
8.3
186
7.7
5
8.7
190
8.3
5
Model Development
8.5
172
Not enough data
Machine/Deep Learning Services
8.2
174
7.7
5
8.5
180
7.7
5
8.3
172
7.7
5
8.2
172
8.0
5
Machine/Deep Learning Services
8.4
158
Not enough data
8.4
160
Not enough data
Deployment
8.5
178
Not enough data
8.7
180
Not enough data
9.0
187
Not enough data
Generative AI
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.2
10
Not enough data
9.2
6
Not enough data
9.3
7
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
9.0
185
|
Verified
8.3
66
|
Verified
8.9
180
|
Verified
8.3
67
|
Verified
8.9
179
|
Verified
8.3
62
|
Verified
8.8
180
|
Verified
8.2
61
|
Verified
8.7
167
|
Verified
7.0
50
|
Verified
9.1
171
|
Verified
7.3
49
|
Verified
Integration
8.8
168
|
Verified
7.1
59
|
Verified
8.8
166
|
Verified
8.2
63
|
Verified
9.1
174
|
Verified
8.0
59
|
Verified
Deployment
7.9
156
|
Verified
8.4
65
|
Verified
9.1
178
|
Verified
7.9
60
|
Verified
Performance
9.1
177
|
Verified
8.5
67
|
Verified
Security
8.8
168
|
Verified
7.9
60
|
Verified
8.9
168
|
Verified
8.2
54
|
Verified
Generative AI
8.5
76
5.5
40
8.4
75
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
9.0
68
Not enough data
8.7
69
Not enough data
8.8
68
Not enough data
9.1
68
Not enough data
Agentic AI - DataOps Platforms
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
Analytics
8.8
67
Not enough data
8.5
67
Not enough data
Monitoring and Management
8.6
67
Not enough data
8.6
68
Not enough data
Cloud Deployment
9.0
63
Not enough data
9.0
64
Not enough data
Generative AI
8.9
36
Not enough data
8.9
36
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
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 and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Traffic Management & Performance - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Observability - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.7
236
7.9
26
8.9
243
8.8
25
9.3
256
8.2
26
Integrations
8.3
220
7.9
24
9.1
256
8.1
25
Platform
9.0
246
8.7
27
8.8
246
9.0
27
9.1
256
8.1
25
Processing
9.0
242
8.6
23
9.0
242
8.7
26
Data Transformation
8.8
226
8.2
36
9.1
232
9.0
36
Connectivity
8.7
206
7.4
34
9.2
230
7.5
34
9.0
220
7.9
36
9.2
230
8.0
36
Operations
8.4
227
7.7
35
8.8
224
7.8
35
8.6
212
7.7
34
8.6
209
7.3
37
9.3
229
7.5
34
Building Reports
9.0
148
8.5
91
8.6
143
8.4
87
7.6
123
7.2
79
8.4
144
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
Databricks and Teradata Vantage are categorized as Data Governance, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Analytics Platforms, Data Warehouse, and Database Management Systems (DBMS)
Unique Categories
Databricks is categorized as DataOps Platforms, MLOps Platforms, ETL Tools, Generative AI Infrastructure, AI Agent Builders, and AI Gateways
Teradata Vantage is categorized as Customer Journey Analytics and Relational Databases
Reviews
Reviewers' Company Size
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
15.4%
Financial Services
10.6%
Computer Software
8.5%
Consulting
3.7%
Hospital & Health Care
3.7%
Other
57.9%
Information Technology and Services
16.8%
Financial Services
14.1%
Banking
11.5%
Retail
7.1%
Telecommunications
6.8%
Other
43.8%
Alternatives
Discussions
What is Lakehouse in Databricks?
4 Comments
BR
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
4 Comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What is Databricks unified analytics platform?
3 Comments
CA
Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...Read more
Teradata Vantage has no discussions with answers
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