Compare Amazon Redshift and Teradata Vantage 
At a Glance
Market Segments
Enterprise (40.0% of reviews)
Enterprise (69.0% of reviews)
Entry-Level Pricing
$1.22 - $3.26 Per hour
No pricing available
Amazon Redshift
Star Rating
(400)4.3 out of 5
Market Segments
Enterprise (40.0% of reviews)
Entry-Level Pricing
$1.22 - $3.26 Per hour
Browse all 6 pricing plansTeradata Vantage
Star Rating
(325)4.3 out of 5
Market Segments
Enterprise (69.0% 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 Dynamic Segmentation> with a score of 8.8, allowing for more precise targeting in marketing efforts, while Amazon Redshift also performs well but slightly lower in this area.
- Reviewers mention that Amazon Redshift shines in Data Lake Integration with a score of 8.6, making it easier to work with large datasets, whereas Teradata Vantage's score of 7.9 indicates room for improvement in this functionality.
- G2 users highlight that Teradata Vantage's In-Database Machine Learning feature, scoring 6.8, is less robust compared to Amazon Redshift's score of 7.7, suggesting that users may find Redshift more effective for machine learning tasks.
- Users on G2 report that Amazon Redshift's Ease of Setup is rated at 8.6, making it more user-friendly for new implementations compared to Teradata Vantage's score of 7.9, which may require more technical expertise.
- Reviewers mention that Teradata Vantage's Data Governance capabilities score 8.0, which is competitive, but Amazon Redshift's score of 8.7 indicates a stronger emphasis on compliance and data management.
- Users say that both platforms have strong Data Compression features, scoring 8.4 each, but Amazon Redshift's overall performance in Data Quality with a score of 8.8 suggests it may provide better data integrity for users.
Featured Products
Sponsored
Kpow for Apache Kafka®
(4)
Data Warehouse
Visit Website
Sponsored
RaimaDB
(2)
Data Warehouse
Visit Website
Sponsored
CorralData
(15)
Data Warehouse
Visit Website
Pricing
Entry-Level Pricing
Amazon Redshift
RA3.4xlarge
$1.22 - $3.26
Per hour
On-demand, 1-Year, or 3-Year Terms
- Commit to save up to 34%
Teradata Vantage
No pricing availableFree Trial
Amazon Redshift
Free Trial is available
Teradata Vantage
Free Trial is available
Ratings
Meets Requirements
8.7
281
8.7
249
Ease of Use
8.7
282
8.3
251
Ease of Setup
8.6
136
7.9
115
Ease of Admin
8.5
130
8.0
107
Quality of Support
8.5
264
8.2
236
Has the product been a good partner in doing business?
8.7
129
8.2
109
Product Direction (% positive)
8.9
254
8.4
248
Features by Category
Reports
Not enough data
7.7
49
Not enough data
8.1
49
Not enough data
6.9
49
Not enough data
7.4
48
Not enough data
7.3
45
Data Preparation
Not enough data
8.1
42
Not enough data
8.1
40
Data Modeling and Blending
Not enough data
9.0
37
Not enough data
8.8
36
Not enough data
8.0
35
Generative AI
Not enough data
6.3
32
Not enough data
6.2
31
Self Service
Not enough data
8.4
48
Not enough data
8.4
50
Not enough data
8.4
50
Not enough data
8.1
49
Not enough data
7.6
49
Not enough data
7.1
46
Advanced Analytics
Not enough data
7.9
51
Not enough data
6.9
51
Not enough data
8.2
49
Building Reports
Not enough data
8.4
74
Not enough data
8.2
71
Not enough data
7.1
64
Not enough data
7.7
67
Administration
Not enough data
8.3
15
Not enough data
7.5
14
Not enough data
7.4
13
Not enough data
5.9
13
Management
Not enough data
7.7
14
Not enough data
7.9
13
Not enough data
7.7
15
Not enough data
7.0
14
Not enough data
6.4
14
Compliance
Not enough data
8.4
15
Not enough data
7.9
15
Not enough data
8.3
14
Not enough data
8.3
13
Security
Not enough data
8.7
14
Not enough data
8.7
14
Not enough data
7.7
13
Data Quality
Not enough data
8.2
15
Not enough data
8.6
15
Not enough data
8.2
14
Maintainence
Not enough data
8.1
13
Not enough data
7.6
13
Generative AI
Not enough data
4.9
12
Not enough data
4.9
12
Data Science and Machine Learning PlatformsHide 27 FeaturesShow 27 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
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
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
Platform Basics
Not enough data
8.8
10
Not enough data
8.8
10
Platform Data
Not enough data
8.9
9
Not enough data
8.5
10
Not enough data
8.2
10
Not enough data
8.5
10
Platform Additional Functionality
Not enough data
8.0
10
Not enough data
8.8
11
Not enough data
8.7
10
Data Management
8.8
129
|
Verified
8.3
45
|
Verified
8.4
121
|
Verified
8.4
45
|
Verified
8.8
127
|
Verified
8.3
41
|
Verified
8.1
123
|
Verified
8.1
42
|
Verified
7.7
98
|
Verified
6.9
31
|
Verified
8.3
114
|
Verified
7.6
30
|
Verified
Integration
7.9
97
|
Verified
7.1
39
|
Verified
8.6
124
|
Verified
8.2
42
|
Verified
8.6
115
|
Verified
7.9
39
|
Verified
Deployment
8.1
98
8.4
43
|
Verified
8.9
126
|
Verified
8.3
40
|
Verified
Performance
8.9
130
|
Verified
8.4
45
|
Verified
Security
8.7
122
|
Verified
7.9
38
|
Verified
8.8
124
|
Verified
8.2
34
|
Verified
Generative AI
Feature Not Available
4.9
22
Feature Not Available
4.8
22
Management
Not enough data
7.1
11
Not enough data
6.8
10
Not enough data
8.8
11
Not enough data
7.7
10
Not enough data
8.2
10
Maintenance
Not enough data
8.2
11
Not enough data
7.0
10
Not enough data
8.5
11
Security
Not enough data
8.1
8
Not enough data
8.8
11
Management
Not enough data
8.9
22
Not enough data
8.8
22
Not enough data
8.7
22
Not enough data
8.7
21
Support
Not enough data
8.2
21
Not enough data
8.5
24
Not enough data
8.5
22
Not enough data
8.8
20
Security
Not enough data
8.6
22
Not enough data
8.6
23
Not enough data
8.5
21
Not enough data
8.8
21
Performance
Not enough data
8.5
20
Not enough data
8.3
22
Not enough data
9.1
23
Not enough data
8.7
21
Not enough data
8.5
25
Database Features
Not enough data
9.0
103
Not enough data
9.2
105
Not enough data
8.8
105
Not enough data
8.7
102
Not enough data
8.7
104
Not enough data
8.8
103
Not enough data
8.7
105
Storage
8.4
50
Not enough data
8.4
53
Not enough data
Availability
8.7
44
Not enough data
8.2
47
Not enough data
8.4
45
Not enough data
Performance
8.3
45
Not enough data
Security
8.7
44
Not enough data
8.5
49
Not enough data
8.1
44
Not enough data
8.6
45
Not enough data
Support
8.1
40
Not enough data
8.4
44
Not enough data
Database
Not enough data
7.8
17
Not enough data
8.8
16
Not enough data
8.3
17
Integrations
Not enough data
7.6
16
Not enough data
7.9
17
Platform
Not enough data
8.6
19
Not enough data
8.9
19
Not enough data
7.9
17
Processing
Not enough data
8.6
15
Not enough data
8.6
18
Data Transformation
Not enough data
8.2
28
Not enough data
9.1
28
Connectivity
Not enough data
7.4
27
Not enough data
7.5
27
Not enough data
8.0
29
Not enough data
8.2
29
Operations
Not enough data
7.9
28
Not enough data
8.1
28
Not enough data
8.0
27
Not enough data
7.5
30
Not enough data
7.8
27
Building Reports
Not enough data
8.4
74
Not enough data
8.2
71
Not enough data
7.1
64
Not enough data
7.7
67
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
Amazon Redshift and Teradata Vantage are categorized as Data Warehouse
Unique Categories
Amazon Redshift is categorized as Columnar Databases and Big Data Integration 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 Science and Machine Learning Platforms
Reviews
Reviewers' Company Size
Amazon Redshift
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
15.3%
Computer Software
12.3%
Financial Services
7.9%
Retail
5.2%
Telecommunications
4.7%
Other
54.5%
Information Technology and Services
18.0%
Financial Services
11.4%
Banking
9.2%
Retail
7.5%
Telecommunications
7.2%
Other
46.7%
Most Helpful Reviews
Amazon Redshift
Most Helpful Favorable Review
Mehdi C.
Verified User in Computer Software
It is fast, we can use it concurrently and we can use SQL over it so we don't have to learn a new language. The Redshift dashboard allow us to cancel request that take too much ressources. We can optimize to allow the request to run faster (with indexing)...
Most Helpful Critical Review
Chris M.
Verified User in Online Media
Cost, Performance, general usability was very lacking. We switched to Aurora because Redshift just wasn't for us.
Teradata Vantage
Most Helpful Favorable Review
Asim Kumar K.
Verified User in Information Technology and Services
We often say Teradata is costly, but the all the good things come with some price. When you have data in TB then no one can beat Teradata in performance. Now Haddop has come to world but still people like to have their MARTS build in Teradata. The...
Most Helpful Critical Review
Verified User in Financial Services
Verified User in Financial Services
Do not like the look and feel of product. It is not intuitive and user friendly.
Mehdi C.
Verified User in Computer Software
It is fast, we can use it concurrently and we can use SQL over it so we don't have to learn a new language. The Redshift dashboard allow us to cancel request that take too much ressources. We can optimize to allow the request to run faster (with indexing)...
Asim Kumar K.
Verified User in Information Technology and Services
We often say Teradata is costly, but the all the good things come with some price. When you have data in TB then no one can beat Teradata in performance. Now Haddop has come to world but still people like to have their MARTS build in Teradata. The...
Chris M.
Verified User in Online Media
Cost, Performance, general usability was very lacking. We switched to Aurora because Redshift just wasn't for us.
Verified User in Financial Services
Verified User in Financial Services
Do not like the look and feel of product. It is not intuitive and user friendly.
Alternatives
Discussions
Should I use with a data mart for a frontend tool that make request on it ?
3 comments
NM
Hi Mehdi
Can you elaborate your question?
AWS Redshift is a DataBase/Data Warehouse service, which is Ideal for Analytical use cases.
You can...Read more
When can I use Amazon redshift?
3 comments
PG
Redshift is big data warehousing solution to handle petabytes of data and also for real time decisions. If you want highly optimized data warehousing...Read more
What are the characteristics of redshift?
2 comments
AK
Redshift is mainly used for Big data and analytics to store the data in columner format. Retrieve the data is very fast and parallel processing also most...Read more
Teradata Vantage has no discussions with answers
Hunting for software insights?
With over 2.5 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.
