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Compare Amazon Redshift and Databricks Data Intelligence Platform 
Featured Products
At a Glance
Market Segments
Mid-Market (39.5% of reviews)
Enterprise (46.0% 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 plansDatabricks Data Intelligence Platform
Star Rating
(658)4.6 out of 5
Market Segments
Enterprise (46.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that the Databricks Data Intelligence Platform excels in user satisfaction, boasting a significantly higher overall score compared to Amazon Redshift. Users appreciate its ability to scale large language models and generative AI applications, highlighting its unified management of security and data access across multiple cloud environments.
- Users say that Databricks offers a more intuitive interface, with interactive notebooks that support both SQL and Python for visualization. This feature is particularly praised for enhancing day-to-day usability, making it easier for teams to collaborate and analyze data effectively.
- Reviewers mention that Amazon Redshift provides a solid solution for those seeking a powerful yet easy-to-implement data warehousing option. Its column-based data structure is noted for delivering faster query performance, which is a game changer for users needing quick insights.
- According to verified reviews, Databricks shines in its autoscaling capabilities, which help users manage cloud resource costs effectively. This feature has been particularly beneficial for first-time users, as it simplifies resource management without compromising performance.
- Users highlight Amazon Redshift's scalability as one of its strongest points, allowing for the storage and analysis of large datasets efficiently. The platform's multi-zone architecture is also appreciated for enhancing data safeguarding, making it a reliable choice for businesses concerned about data security.
- Reviewers note that while both platforms offer strong support, Databricks has received slightly higher ratings for its customer service responsiveness. Users have reported timely assistance, which is crucial for maintaining smooth operations, especially during critical implementation phases.
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%
Databricks Data Intelligence Platform
No pricing availableFree Trial
Amazon Redshift
Free Trial is available
Databricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
8.7
281
8.9
538
Ease of Use
8.7
281
8.9
549
Ease of Setup
8.6
138
8.7
422
Ease of Admin
8.4
128
8.3
176
Quality of Support
8.5
264
8.7
513
Has the product been a good partner in doing business?
8.7
127
8.9
180
Product Direction (% positive)
8.8
252
9.6
527
Features by Category
Reports
Not enough data
8.2
11
Not enough data
7.4
9
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.8
12
Data Preparation
Not enough data
8.9
6
Not enough data
8.8
7
Data Modeling and Blending
Not enough data
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Generative AI
Not enough data
9.0
8
Not enough data
9.2
6
Agentic AI - Analytics Platforms
Not enough data
9.3
7
Not enough data
8.7
5
Not enough data
9.0
5
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
9.7
6
Not enough data
9.3
5
Self Service
Not enough data
7.7
10
Not enough data
7.7
10
Not enough data
8.3
10
Not enough data
7.9
11
Not enough data
8.2
11
Not enough data
7.9
8
Deployment & Integration - Analytics Platforms
Not enough data
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Advanced Analytics
Not enough data
8.2
10
Not enough data
8.2
11
Not enough data
8.8
10
Performance & Scalability - Analytics Platforms
Not enough data
8.8
7
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
8.8
7
Not enough data
8.3
7
Not enough data
8.6
6
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Personalized Intelligence - Analytics Platforms
Not enough data
9.2
6
Not enough data
7.9
8
Not enough data
8.9
6
Building Reports
Not enough data
8.9
137
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.4
140
Administration
Not enough data
8.8
97
Not enough data
8.6
93
Not enough data
9.0
93
Not enough data
8.7
95
Management
Not enough data
8.4
87
Not enough data
8.6
86
Not enough data
8.6
87
Not enough data
8.5
87
Not enough data
8.7
85
Compliance
Not enough data
8.8
97
Not enough data
8.7
92
Not enough data
8.8
92
Not enough data
8.7
93
Security
Not enough data
9.0
85
Not enough data
8.9
85
Not enough data
8.8
86
Data Quality
Not enough data
9.0
93
Not enough data
8.7
93
Not enough data
8.9
92
Maintainence
Not enough data
8.7
85
Not enough data
8.8
83
Generative AI
Not enough data
8.4
82
Not enough data
8.5
81
Agentic AI - Data Governance
Not enough data
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
Management
Not enough data
8.6
169
Not enough data
8.5
163
Functionality
Not enough data
9.1
170
Not enough data
9.2
170
Not enough data
9.1
171
Not enough data
9.0
163
Not enough data
9.1
165
Deployment
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
65
Not enough data
8.9
66
Deployment
Not enough data
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
Management
Not enough data
9.0
62
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Operations
Not enough data
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Management
Not enough data
8.8
60
Not enough data
8.7
60
Not enough data
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
Not enough data
8.8
178
Model Development
Not enough data
8.8
182
Not enough data
7.9
187
Not enough data
8.3
184
Not enough data
8.6
187
Model Development
Not enough data
8.5
171
Machine/Deep Learning Services
Not enough data
8.2
173
Not enough data
8.5
179
Not enough data
8.2
170
Not enough data
8.2
172
Machine/Deep Learning Services
Not enough data
8.4
158
Not enough data
8.4
160
Deployment
Not enough data
8.5
176
Not enough data
8.7
179
Not enough data
9.0
185
Generative AI
Not enough data
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.1
9
Not enough data
9.2
6
Not enough data
9.3
7
Data Management
8.8
133
|
Verified
9.0
181
|
Verified
8.4
125
|
Verified
8.9
180
|
Verified
8.8
131
|
Verified
8.8
174
|
Verified
8.0
127
|
Verified
8.8
178
|
Verified
7.6
102
|
Verified
8.7
167
|
Verified
8.3
118
|
Verified
9.1
170
|
Verified
Integration
7.9
101
|
Verified
8.8
167
|
Verified
8.7
128
|
Verified
8.8
165
|
Verified
8.6
119
|
Verified
9.1
172
|
Verified
Deployment
8.1
102
7.9
155
|
Verified
8.9
130
|
Verified
9.1
176
|
Verified
Performance
8.9
134
|
Verified
9.1
176
|
Verified
Security
8.7
126
|
Verified
8.8
165
|
Verified
8.8
128
|
Verified
8.9
166
|
Verified
Generative AI
7.3
20
8.5
76
7.2
19
8.4
75
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
Data Management
Not enough data
9.0
66
Not enough data
8.7
67
Not enough data
8.8
67
Not enough data
9.1
66
Agentic AI - DataOps Platforms
Not enough data
9.0
8
Not enough data
8.6
6
Not enough data
9.0
7
Not enough data
8.6
6
Not enough data
9.3
7
Analytics
Not enough data
8.8
66
Not enough data
8.5
64
Monitoring and Management
Not enough data
8.6
66
Not enough data
8.6
66
Cloud Deployment
Not enough data
9.1
62
Not enough data
9.0
62
Generative AI
Not enough data
8.9
35
Not enough data
8.9
35
Database
Not enough data
8.7
229
Not enough data
8.9
235
Not enough data
9.3
242
Integrations
Not enough data
8.3
217
Not enough data
9.1
244
Platform
Not enough data
9.0
236
Not enough data
8.8
234
Not enough data
9.1
244
Processing
Not enough data
9.0
233
Not enough data
9.0
230
Data Transformation
Not enough data
8.8
223
Not enough data
9.0
229
Connectivity
Not enough data
8.7
205
Not enough data
9.2
229
Not enough data
9.0
219
Not enough data
9.2
227
Operations
Not enough data
8.4
225
Not enough data
8.8
220
Not enough data
8.6
210
Not enough data
8.6
209
Not enough data
9.3
224
Building Reports
Not enough data
8.9
137
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.4
140
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 Databricks Data Intelligence Platform are categorized as Data Warehouse
Unique Categories
Amazon Redshift is categorized as Columnar Databases and Big Data Integration Platforms
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, and Analytics Platforms
Reviews
Reviewers' Company Size
Amazon Redshift
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks Data Intelligence Platform
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%
Information Technology and Services
15.1%
Financial Services
11.1%
Computer Software
8.3%
Consulting
3.7%
Hospital & Health Care
3.6%
Other
58.2%
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 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?
3 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
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