Introducing G2.ai, the future of software buying.Try now
Compare Hadoop HDFS 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.
CorralData
Visit Website
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
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.
High Digital
Visit Website
At a Glance
Market Segments
Enterprise (55.0% of reviews)
Enterprise (68.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Hadoop HDFS
Star Rating
(141)4.4 out of 5
Market Segments
Enterprise (55.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Hadoop HDFSTeradata 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 Hadoop HDFS excels in Data Distribution with a score of 9.1, making it a preferred choice for handling large datasets across multiple nodes. In contrast, Teradata Vantage scores 8.7 in this area, which may limit its effectiveness in very large-scale data environments.
- Reviewers mention that Teradata Vantage shines in Ease of Use with a score of 8.3 compared to Hadoop HDFS's 7.5. This suggests that users find Teradata's interface more intuitive, which can significantly reduce the learning curve for new users.
- G2 users highlight that Hadoop HDFS offers superior Data Lake capabilities with a score of 9.0, while Teradata Vantage scores 8.2. This indicates that Hadoop HDFS is better suited for organizations looking to implement a robust data lake strategy.
- Users on G2 report that Teradata Vantage provides better Reporting and Visualization tools, scoring 7.6 compared to Hadoop HDFS's 6.4. This can be crucial for businesses that rely heavily on data visualization for decision-making.
- Reviewers mention that Hadoop HDFS has a strong advantage in Data Compression with a score of 8.4, which can lead to significant cost savings in storage. Teradata Vantage, while still effective, scores slightly lower at 8.0.
- Users say that Teradata Vantage's Quality of Support is rated higher at 8.2 compared to Hadoop HDFS's 7.8. This can be a deciding factor for organizations that prioritize responsive customer service and support for their software solutions.
Pricing
Entry-Level Pricing
Hadoop HDFS
No pricing availableTeradata Vantage
No pricing availableFree Trial
Hadoop HDFS
No trial information availableTeradata Vantage
Free Trial is available
Ratings
Meets Requirements
8.6
118
8.7
281
Ease of Use
7.5
120
8.3
284
Ease of Setup
6.9
47
8.0
143
Ease of Admin
7.1
44
8.0
111
Quality of Support
7.8
103
8.3
263
Has the product been a good partner in doing business?
7.7
42
8.2
113
Product Direction (% positive)
8.0
113
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
8.6
42
7.9
26
9.1
46
8.8
25
9.0
40
8.2
26
Integrations
9.1
44
7.9
24
8.8
40
8.1
25
Platform
8.3
40
8.7
27
8.4
43
9.0
27
8.8
40
8.1
25
Processing
8.7
36
8.6
23
8.5
41
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
Hadoop HDFS and Teradata Vantage are categorized as Big Data Processing and Distribution
Unique Categories
Hadoop HDFS has no unique categories
Teradata Vantage is categorized as Data Governance, Customer Journey Analytics, Big Data Analytics, Analytics Platforms, Database Management Systems (DBMS), Relational Databases, Data Warehouse, and Data Science and Machine Learning Platforms
Reviews
Reviewers' Company Size
Hadoop HDFS
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
Computer Software
24.0%
Information Technology and Services
21.7%
Internet
7.8%
Financial Services
4.7%
Higher Education
3.9%
Other
38.0%
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 Hadoop HDFS used for?
1 Comment
VV
Hadoop HDFS is used for storing large volume of data... so called 'Big Data'.
Read more
Hadoop HDFS has no more discussions with answers
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.
