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- Amazon Redshift-vs-Databricks Data Intelligence Platform
Compare Amazon Redshift and Databricks Data Intelligence Platform 
At a Glance
Market Segments
Enterprise (39.8% of reviews)
Enterprise (47.3% of reviews)
Entry-Level Pricing
$1.22 - $3.26 Per hour
No pricing available
Amazon Redshift
Star Rating
(399)4.3 out of 5
Market Segments
Enterprise (39.8% of reviews)
Entry-Level Pricing
$1.22 - $3.26 Per hour
Browse all 6 pricing plansDatabricks Data Intelligence Platform
Star Rating
(403)4.6 out of 5
Market Segments
Enterprise (47.3% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Databricks Data Intelligence PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Databricks Data Intelligence Platform excels in Data Integration with a score of 9.0, while Amazon Redshift follows closely with a score of 8.8. Reviewers mention that Databricks' ability to seamlessly integrate various data sources enhances their workflow efficiency.
- Reviewers mention that Databricks shines in Machine Learning Services, particularly with its In-Database Machine Learning feature scoring 8.5, compared to Amazon Redshift's 7.7. Users say that the built-in capabilities for model training and deployment in Databricks significantly reduce the time to insights.
- G2 users highlight that Databricks offers superior Data Lake Analytics with a score of 8.8, while Amazon Redshift scores 8.3. Users report that the ability to perform analytics directly on data lakes in Databricks is a game-changer for their data strategy.
- Users on G2 mention that Databricks provides a more robust Workflow Management system, scoring 9.3, compared to Amazon Redshift's 8.6. Reviewers say that the intuitive interface and automation features in Databricks streamline their data processing tasks.
- Reviewers mention that Amazon Redshift excels in Scalability, scoring 8.9, which is slightly higher than Databricks' 8.7. Users report that Redshift's ability to handle large datasets efficiently is crucial for their enterprise-level applications.
- Users report that both platforms offer strong Cloud Deployment capabilities, with Databricks scoring 8.9 and Amazon Redshift matching that score. However, reviewers mention that Databricks' hybrid cloud support at 9.2 provides more flexibility for organizations with diverse infrastructure needs.
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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
280
8.8
298
Ease of Use
8.7
281
8.8
299
Ease of Setup
8.6
135
8.6
184
Ease of Admin
8.5
130
8.1
89
Quality of Support
8.5
263
8.5
278
Has the product been a good partner in doing business?
8.7
129
8.5
89
Product Direction (% positive)
8.9
253
9.5
284
Features by Category
Administration
Not enough data
8.4
18
Not enough data
8.8
17
Not enough data
9.0
19
Not enough data
8.8
20
Management
Not enough data
8.5
18
Not enough data
8.7
18
Not enough data
8.9
18
Not enough data
8.4
18
Not enough data
9.1
18
Compliance
Not enough data
8.8
19
Not enough data
8.5
18
Not enough data
8.7
18
Not enough data
8.1
18
Security
Not enough data
8.8
17
Not enough data
9.0
18
Not enough data
8.9
18
Data Quality
Not enough data
8.9
18
Not enough data
8.2
18
Not enough data
8.9
18
Maintainence
Not enough data
8.7
18
Not enough data
8.5
18
Generative AI
Not enough data
8.5
18
Not enough data
8.9
18
Management
Not enough data
8.3
84
Not enough data
8.3
80
Functionality
Not enough data
9.1
87
Not enough data
9.3
88
Not enough data
9.1
89
Not enough data
8.9
82
Not enough data
9.1
85
Deployment
Not enough data
8.8
35
Not enough data
8.7
36
Not enough data
8.6
37
Not enough data
8.7
37
Not enough data
8.7
37
Deployment
Not enough data
8.6
34
Not enough data
8.5
35
Not enough data
8.3
39
Not enough data
8.7
38
Not enough data
8.9
38
Management
Not enough data
8.8
34
Not enough data
8.6
35
Not enough data
9.2
31
Not enough data
8.9
39
Operations
Not enough data
8.4
35
Not enough data
8.6
34
Not enough data
8.8
35
Management
Not enough data
8.7
35
Not enough data
8.3
34
Not enough data
9.2
32
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
System
Not enough data
8.8
93
Not enough data
8.6
88
Not enough data
7.7
89
Model Development
Not enough data
8.7
83
Not enough data
7.8
90
Not enough data
8.3
88
Not enough data
8.8
90
Model Development
Not enough data
8.4
87
Not enough data
8.7
92
Not enough data
8.5
90
Machine/Deep Learning Services
Not enough data
8.2
79
Not enough data
8.6
84
Not enough data
8.2
77
Not enough data
8.1
80
Machine/Deep Learning Services
Not enough data
8.1
79
Not enough data
8.3
80
Not enough data
8.1
79
Not enough data
8.4
81
Deployment
Not enough data
8.4
84
Not enough data
8.7
88
Not enough data
8.8
92
Deployment
Not enough data
8.4
86
Not enough data
8.6
92
Not enough data
8.8
92
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Data Management
8.8
129
|
Verified
9.0
114
|
Verified
8.4
121
|
Verified
8.8
113
|
Verified
8.8
127
|
Verified
8.6
109
|
Verified
8.1
123
|
Verified
8.5
111
|
Verified
7.7
98
|
Verified
8.5
101
|
Verified
8.3
114
|
Verified
8.9
105
|
Verified
Integration
7.9
97
|
Verified
8.7
100
|
Verified
8.6
124
|
Verified
8.6
101
|
Verified
8.6
115
|
Verified
8.9
110
|
Verified
Deployment
8.1
98
7.6
90
|
Verified
8.9
126
|
Verified
9.0
111
|
Verified
Performance
8.9
130
|
Verified
9.0
112
|
Verified
Security
8.7
122
|
Verified
8.5
103
|
Verified
8.8
124
|
Verified
8.6
104
|
Verified
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
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
Data Management
Not enough data
9.0
34
Not enough data
8.3
33
Not enough data
8.4
34
Not enough data
9.0
32
Analytics
Not enough data
8.6
32
Not enough data
8.4
31
Monitoring and Management
Not enough data
8.2
32
Not enough data
8.2
32
Cloud Deployment
Not enough data
9.2
29
Not enough data
9.1
29
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Database
Not enough data
8.5
112
Not enough data
8.8
119
Not enough data
9.2
119
Integrations
Not enough data
8.3
104
Not enough data
9.1
121
Platform
Not enough data
8.9
115
Not enough data
8.7
119
Not enough data
9.1
121
Processing
Not enough data
8.9
118
Not enough data
8.9
118
Data Transformation
Not enough data
8.6
133
Not enough data
8.9
140
Connectivity
Not enough data
8.5
117
Not enough data
9.1
139
Not enough data
8.9
131
Not enough data
9.1
140
Operations
Not enough data
8.2
138
Not enough data
8.7
133
Not enough data
8.4
121
Not enough data
8.4
121
Not enough data
9.3
135
Building Reports
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
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 DataOps Platforms, MLOps Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, and Data Governance
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
15.1%
Computer Software
12.4%
Financial Services
8.0%
Retail
5.2%
Telecommunications
4.7%
Other
54.7%
Information Technology and Services
15.1%
Computer Software
10.5%
Financial Services
8.2%
Marketing and Advertising
4.9%
Consulting
4.1%
Other
57.3%
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
Verified User in Computer Software
It's only on AWS. That's why I can't really recommend this product unless you know you're going to stay on AWS forever. It really offers no differentiation from any other noSQL store and in fact has less features and reliability over most of the tried and...
Databricks Data Intelligence Platform
Most Helpful Favorable Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Most Helpful Critical Review
Gowtham S.
Verified User in Supermarkets
Need a specified or specialized consultant to set up the tool because of the adaptability of this tool is complex. Pricing is high compared to similar tools in the market.
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)...
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Verified User in Computer Software
It's only on AWS. That's why I can't really recommend this product unless you know you're going to stay on AWS forever. It really offers no differentiation from any other noSQL store and in fact has less features and reliability over most of the tried and...
Gowtham S.
Verified User in Supermarkets
Need a specified or specialized consultant to set up the tool because of the adaptability of this tool is complex. Pricing is high compared to similar tools in the market.
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
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 does Databricks software do?
2 comments
BR
Databricks is a unified analytics platform and it help us to connect the different sources of data and process it to the single platform which store, share...Read more
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