Compare Spark SQL and Teradata Vantage 
At a Glance
Market Segments
Enterprise (53.3% of reviews)
Enterprise (68.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Spark SQL
Star Rating
(45)4.5 out of 5
Market Segments
Enterprise (53.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Spark SQLTeradata Vantage
Star Rating
(362)4.3 out of 5
Market Segments
Enterprise (68.4% 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 Teradata Vantage excels in performance, particularly for large data analyses, with users praising its "power and speed to return a large data analysis." This reliability makes it a strong choice for enterprises needing robust database solutions.
- Users say that Spark SQL offers a user-friendly experience, especially when it comes to querying data from various sources. Reviewers appreciate the ability to manipulate Spark data frames using SQL queries, which enhances flexibility in data handling.
- According to verified reviews, Teradata Vantage has a higher overall satisfaction score, indicating that users feel more positively about their experience with the platform compared to Spark SQL. This is reflected in its strong performance in enterprise environments, where it holds a significant market presence.
- Reviewers mention that while Spark SQL has a slightly higher ease of use rating, Teradata Vantage is still regarded as user-friendly, especially for those familiar with SQL queries. Users highlight its "on-premise solution with database functions available as part of SQL queries," which adds to its usability.
- Users highlight that Teradata Vantage's support quality is commendable, with many noting its reliability and responsiveness. In contrast, while Spark SQL's support is rated slightly higher, the overall user feedback suggests that Teradata provides a more dependable partnership in business operations.
- G2 reviewers indicate that both products have strong capabilities in data management, but Teradata Vantage shines with its advanced indexing and storage features, which users describe as "very reliable" and capable of handling demanding workloads without faltering.
Pricing
Entry-Level Pricing
Spark SQL
No pricing availableTeradata Vantage
No pricing availableFree Trial
Spark SQL
No trial information availableTeradata Vantage
Free Trial is available
Ratings
Meets Requirements
8.8
32
8.7
283
Ease of Use
9.0
35
8.3
286
Ease of Setup
8.7
14
8.0
145
Ease of Admin
8.2
13
8.0
111
Quality of Support
8.4
32
8.3
265
Has the product been a good partner in doing business?
8.6
14
8.2
113
Product Direction (% positive)
10.0
29
8.3
283
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
67
|
Verified
Not enough data
8.3
67
|
Verified
Not enough data
8.3
62
|
Verified
Not enough data
8.2
62
|
Verified
Not enough data
7.0
51
|
Verified
Not enough data
7.3
49
|
Verified
Integration
Not enough data
7.2
61
|
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
68
|
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
8.7
26
8.9
32
8.5
26
8.8
31
8.3
23
8.7
30
8.3
26
8.7
28
Support
8.0
23
8.3
30
8.1
27
8.6
32
8.2
26
8.5
31
8.8
24
8.8
28
Security
8.7
24
8.7
31
8.3
23
8.6
32
8.4
22
8.6
30
8.5
24
8.8
30
Performance
8.7
25
8.7
29
8.5
25
8.5
31
8.6
25
8.9
32
7.9
23
8.9
30
8.6
25
8.7
34
Database Features
8.3
26
9.0
115
8.7
26
9.2
117
8.7
27
8.9
117
8.9
27
8.7
114
8.5
27
8.7
116
8.5
26
8.8
115
8.3
27
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
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
Spark SQL and Teradata Vantage are categorized as Relational Databases
Unique Categories
Spark SQL has no unique categories
Teradata Vantage is categorized as Data Governance, Customer Journey Analytics, Big Data Processing and Distribution, Big Data Analytics, Analytics Platforms, Database Management Systems (DBMS), Data Warehouse, and Data Science and Machine Learning Platforms
Reviews
Reviewers' Company Size
Spark SQL
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
31.1%
Computer Software
13.3%
Retail
6.7%
Financial Services
6.7%
Telecommunications
4.4%
Other
37.8%
Information Technology and Services
17.0%
Financial Services
14.0%
Banking
11.4%
Retail
7.0%
Telecommunications
6.7%
Other
43.9%
Alternatives
Discussions
What type of SQL does Spark use?
2 Comments
PS
Spark SqlRead more
What is the difference between SQL and Spark SQL?
1 Comment
NK
Well it's very simple spark sql is used for big data processing, it makes querying the loads of data simple and faster.
Whereas sql isn't suitable for...Read more
What is the functionality of Spark SQL?
1 Comment
NK
Spark sql works with any kind of relational databases that works with sql like Mysql, oracle, mariadb, postgresqlRead more
Teradata Vantage has no discussions with answers
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