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Compare Amazon Redshift and Palantir Gotham 
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At a Glance
Market Segments
Mid-Market (39.5% of reviews)
Mid-Market (37.5% of reviews)
Entry-Level Pricing
$1.22 - $3.26 Per hour
No pricing available
Amazon Redshift
Star Rating
(397)4.3 out of 5
Market Segments
Mid-Market (39.5% of reviews)
Pros & Cons
Entry-Level Pricing
$1.22 - $3.26 Per hour
Browse all 6 pricing plansPalantir Gotham
Star Rating
(10)4.3 out of 5
Market Segments
Mid-Market (37.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Palantir GothamSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon Redshift excels in data integration with a score of 8.8, making it a preferred choice for enterprises needing to combine data from various sources efficiently. In contrast, Palantir Gotham, while strong in data governance, does not emphasize data integration as much, which may limit its appeal for users focused on seamless data ingestion.
- Reviewers mention that Palantir Gotham shines in its quality of support, scoring 9.4, which is significantly higher than Amazon Redshift's score of 8.5. This indicates that users of Palantir Gotham often feel more supported and valued, especially when navigating complex data challenges.
- G2 users highlight that Amazon Redshift's built-in data analytics feature, with a score of 8.1, is beneficial for users looking for straightforward analytics capabilities. However, Palantir Gotham's advanced analytics features, particularly in machine learning and data visualization, are noted to be more robust, making it a better fit for users needing deep analytical insights.
- Users on G2 report that Amazon Redshift's auto sharding feature, rated at 8.7, enhances its scalability, allowing for efficient handling of large datasets. In contrast, Palantir Gotham's scalability is also strong, but users mention that it may require more manual intervention to achieve optimal performance in large-scale environments.
- Reviewers say that Amazon Redshift's ease of setup, with a score of 8.6, is a significant advantage for teams looking to get started quickly. On the other hand, Palantir Gotham's setup process is often described as more complex, which may deter users who prioritize a quick deployment.
- Users report that both products have strong security features, but Palantir Gotham's role-based authorization and data encryption capabilities, scoring 8.7 and 8.6 respectively, are often highlighted as superior, providing users with greater confidence in data protection and compliance compared to Amazon Redshift.
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%
Palantir Gotham
No pricing availableFree Trial
Amazon Redshift
Free Trial is available
Palantir Gotham
No trial information availableRatings
Meets Requirements
8.7
281
9.4
6
Ease of Use
8.7
281
9.0
5
Ease of Setup
8.6
138
Not enough data
Ease of Admin
8.4
128
Not enough data
Quality of Support
8.5
264
9.4
6
Has the product been a good partner in doing business?
8.7
127
Not enough data
Product Direction (% positive)
8.8
252
10.0
7
Features by Category
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
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
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
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
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
Security
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
Agentic AI - Data Fabric
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
Data Management
8.8
133
|
Verified
Not enough data
8.4
125
|
Verified
Not enough data
8.8
131
|
Verified
Not enough data
8.0
127
|
Verified
Not enough data
7.6
102
|
Verified
Not enough data
8.3
118
|
Verified
Not enough data
Integration
7.9
101
|
Verified
Not enough data
8.7
128
|
Verified
Not enough data
8.6
119
|
Verified
Not enough data
Deployment
8.1
102
Not enough data
8.9
130
|
Verified
Not enough data
Performance
8.9
134
|
Verified
Not enough data
Security
8.7
126
|
Verified
Not enough data
8.8
128
|
Verified
Not enough data
Generative AI
7.3
20
Not enough data
7.2
19
Not enough data
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
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
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration Options
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
Storage
8.4
53
Not enough data
8.4
56
Not enough data
Availability
8.6
47
Not enough data
8.2
50
Not enough data
8.4
48
Not enough data
Performance
8.2
48
Not enough data
Security
8.7
47
Not enough data
8.4
52
Not enough data
8.1
47
Not enough data
8.5
48
Not enough data
Support
7.9
43
Not enough data
8.5
47
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Decision Making
Not enough data
Not enough data
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
Categories
Categories
Shared Categories
Amazon Redshift and Palantir Gotham are categorized as Big Data Integration Platforms
Unique Categories
Amazon Redshift is categorized as Columnar Databases and Data Warehouse
Palantir Gotham is categorized as Master Data Management (MDM), Data Science and Machine Learning Platforms, Predictive Analytics, Data Fabric, and iPaaS
Reviews
Reviewers' Company Size
Amazon Redshift
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Palantir Gotham
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
15.5%
Computer Software
12.7%
Financial Services
7.7%
Retail
5.2%
Telecommunications
4.7%
Other
54.1%
Computer Software
37.5%
Transportation/Trucking/Railroad
12.5%
Information Technology and Services
12.5%
Government Relations
12.5%
Airlines/Aviation
12.5%
Other
12.5%
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
Palantir Gotham has no discussions with answers
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