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Compare Amazon Redshift and Databricks Data Intelligence Platform 
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At a Glance
Market Segments
Mid-Market (39.5% of reviews)
Enterprise (46.5% 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 plansDatabricks Data Intelligence Platform
Star Rating
(626)4.6 out of 5
Market Segments
Enterprise (46.5% 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.
- Users report that the Databricks Data Intelligence Platform excels in Workflow Management with a score of 9.3, making it a preferred choice for teams needing efficient process automation. In contrast, Amazon Redshift has a lower score of 8.1 in Reporting, indicating potential limitations in its reporting capabilities.
- Reviewers mention that Databricks offers superior Data Integration with a score of 9.0, which is crucial for organizations looking to consolidate data from various sources. Meanwhile, Amazon Redshift scores 8.8, suggesting it may not be as robust in this area.
- G2 users highlight the Databricks platform's strong Data Lake Analytics capabilities, scoring 8.8, which allows for advanced analytics on large datasets. In comparison, Amazon Redshift scores 8.3, indicating it may not provide the same level of analytical depth.
- Users on G2 report that Databricks shines in Model Registry with a score of 8.9, facilitating better management of machine learning models. Conversely, Amazon Redshift lacks a dedicated feature for model management, which could be a drawback for data science teams.
- Reviewers mention that Databricks provides excellent Built-In Data Analytics with a score of 8.5, which enhances user experience by allowing for immediate insights. Amazon Redshift, however, scores lower at 8.1, suggesting it may require additional tools for similar functionality.
- Users say that Databricks has a more flexible Language Support with a score of 8.7, accommodating various programming languages for data processing. In contrast, Amazon Redshift scores 8.5, which may limit options for developers looking for multi-language support.
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
512
Ease of Use
8.7
281
8.8
521
Ease of Setup
8.6
138
8.6
394
Ease of Admin
8.4
128
8.3
169
Quality of Support
8.5
264
8.7
487
Has the product been a good partner in doing business?
8.7
127
8.8
172
Product Direction (% positive)
8.8
252
9.6
500
Features by Category
Reports
Not enough data
7.5
6
Not enough data
7.5
6
Not enough data
7.8
6
Not enough data
7.7
5
Not enough data
8.0
5
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
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 - 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
7.5
6
Not enough data
7.2
6
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
7.5
6
Not enough data
7.3
5
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
8.1
6
Not enough data
8.0
5
Not enough data
8.3
5
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
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Administration
Not enough data
8.8
92
Not enough data
8.6
89
Not enough data
9.0
90
Not enough data
8.6
91
Management
Not enough data
8.5
84
Not enough data
8.7
83
Not enough data
8.6
83
Not enough data
8.5
82
Not enough data
8.7
82
Compliance
Not enough data
8.8
90
Not enough data
8.7
89
Not enough data
8.9
88
Not enough data
8.7
88
Security
Not enough data
9.0
80
Not enough data
8.9
82
Not enough data
8.9
82
Data Quality
Not enough data
9.0
90
Not enough data
8.7
89
Not enough data
9.0
87
Maintainence
Not enough data
8.8
81
Not enough data
8.8
80
Generative AI
Not enough data
8.4
79
Not enough data
8.5
78
Agentic AI - Data Governance
Not enough data
8.8
8
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
8.3
8
Not enough data
9.0
8
Not enough data
9.0
8
Management
Not enough data
8.6
167
Not enough data
8.5
161
Functionality
Not enough data
9.1
168
Not enough data
9.2
169
Not enough data
9.1
170
Not enough data
9.0
162
Not enough data
9.1
164
Deployment
Not enough data
8.9
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Deployment
Not enough data
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
64
Not enough data
9.0
64
Management
Not enough data
8.9
61
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Operations
Not enough data
8.7
61
Not enough data
8.8
60
Not enough data
9.0
61
Management
Not enough data
8.8
60
Not enough data
8.7
59
Not enough data
9.1
58
Generative AI
Not enough data
8.3
27
Not enough data
8.3
27
System
Not enough data
8.8
175
Model Development
Not enough data
8.8
179
Not enough data
7.9
185
Not enough data
8.3
182
Not enough data
8.6
184
Model Development
Not enough data
8.5
171
Machine/Deep Learning Services
Not enough data
8.1
171
Not enough data
8.5
176
Not enough data
8.2
168
Not enough data
8.1
170
Machine/Deep Learning Services
Not enough data
8.4
156
Not enough data
8.4
158
Deployment
Not enough data
8.5
174
Not enough data
8.7
177
Not enough data
9.0
181
Generative AI
Not enough data
8.2
86
Not enough data
8.4
86
Not enough data
7.6
85
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
9.2
6
Data Management
8.8
133
|
Verified
9.0
177
|
Verified
8.4
125
|
Verified
8.9
177
|
Verified
8.8
131
|
Verified
8.8
172
|
Verified
8.0
127
|
Verified
8.7
175
|
Verified
7.6
102
|
Verified
8.7
165
|
Verified
8.3
118
|
Verified
9.0
167
|
Verified
Integration
7.9
101
|
Verified
8.8
163
|
Verified
8.7
128
|
Verified
8.8
163
|
Verified
8.6
119
|
Verified
9.1
171
|
Verified
Deployment
8.1
102
7.9
152
|
Verified
8.9
130
|
Verified
9.1
173
|
Verified
Performance
8.9
134
|
Verified
9.1
173
|
Verified
Security
8.7
126
|
Verified
8.8
164
|
Verified
8.8
128
|
Verified
8.9
165
|
Verified
Generative AI
7.3
20
8.5
75
7.2
19
8.4
74
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
65
Not enough data
8.8
66
Not enough data
9.1
63
Agentic AI - DataOps Platforms
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.2
6
Analytics
Not enough data
8.8
64
Not enough data
8.4
63
Monitoring and Management
Not enough data
8.5
64
Not enough data
8.5
64
Cloud Deployment
Not enough data
9.1
60
Not enough data
9.0
61
Generative AI
Not enough data
8.9
35
Not enough data
8.9
35
Database
Not enough data
8.7
218
Not enough data
8.9
224
Not enough data
9.3
225
Integrations
Not enough data
8.3
207
Not enough data
9.2
227
Platform
Not enough data
9.0
220
Not enough data
8.8
223
Not enough data
9.2
227
Processing
Not enough data
9.0
219
Not enough data
9.0
218
Data Transformation
Not enough data
8.8
219
Not enough data
9.0
226
Connectivity
Not enough data
8.7
202
Not enough data
9.2
225
Not enough data
9.0
217
Not enough data
9.2
225
Operations
Not enough data
8.4
223
Not enough data
8.8
218
Not enough data
8.6
207
Not enough data
8.6
205
Not enough data
9.3
220
Building Reports
Not enough data
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
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
14.7%
Financial Services
11.4%
Computer Software
8.2%
Consulting
3.9%
Hospital & Health Care
3.8%
Other
58.1%
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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