Compare Amazon Redshift and Druid 
Featured Products
At a Glance
Market Segments
Mid-Market (40.0% of reviews)
Enterprise (57.1% of reviews)
Entry-Level Pricing
$1.22 - $3.26 Per hour
No pricing available
Amazon Redshift
Star Rating
(400)4.3 out of 5
Market Segments
Mid-Market (40.0% of reviews)
Pros & Cons
Entry-Level Pricing
$1.22 - $3.26 Per hour
Browse all 6 pricing plansDruid
Star Rating
(31)4.3 out of 5
Market Segments
Enterprise (57.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DruidAmazon Redshift vs Druid
When assessing the two solutions, reviewers found Amazon Redshift easier to use, set up, and administer. Reviewers also preferred doing business with Amazon Redshift overall.
- Reviewers felt that Amazon Redshift meets the needs of their business better than Druid.
- When comparing quality of ongoing product support, reviewers felt that Amazon Redshift is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Amazon Redshift over Druid.
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%
Druid
No pricing availableFree Trial
Amazon Redshift
Free Trial is available
Druid
Free Trial is available
Ratings
Meets Requirements
8.7
284
8.4
20
Ease of Use
8.7
284
8.0
20
Ease of Setup
8.6
141
6.4
7
Ease of Admin
8.4
129
6.4
7
Quality of Support
8.5
267
7.9
18
Has the product been a good partner in doing business?
8.7
128
7.7
5
Product Direction (% positive)
8.9
255
7.3
17
Features by Category
Data Management
8.8
135
|
Verified
8.3
5
8.4
125
|
Verified
8.0
5
8.8
131
|
Verified
8.7
5
8.0
127
|
Verified
8.7
5
7.6
102
|
Verified
Not enough data
8.3
119
|
Verified
8.0
5
Integration
7.9
101
|
Verified
Not enough data
8.7
129
|
Verified
7.0
5
8.6
119
|
Verified
Not enough data
Deployment
8.1
102
Not enough data
8.9
131
|
Verified
8.3
5
Performance
8.9
136
|
Verified
8.3
5
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
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
Support
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
Not enough data
Not enough data
Performance
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
Database Features
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
Storage
8.4
53
8.8
10
8.4
56
7.8
10
Availability
8.6
47
8.7
9
8.2
50
7.6
9
8.4
48
8.3
10
Performance
8.2
48
8.9
9
Security
8.7
47
8.1
8
8.4
52
9.3
7
8.1
47
8.7
10
8.5
48
8.5
8
Support
7.9
43
8.8
10
8.5
47
9.2
11
Query latency
Not enough data
Not enough data
Not enough data
Not enough data
Data latency
Not enough data
Not enough data
Not enough data
Not enough data
Connectors
Not enough data
Not enough data
Not enough data
Not enough data
Scale
Not enough data
Not enough data
Not enough data
Not enough data
Architecture
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
8.5
10
Not enough data
8.7
10
Not enough data
8.8
8
Integrations
Not enough data
8.8
8
Not enough data
8.1
9
Platform
Not enough data
8.5
9
Not enough data
8.7
9
Not enough data
8.1
9
Processing
Not enough data
8.6
7
Not enough data
8.7
9
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 Druid are categorized as Columnar Databases and Data Warehouse
Unique Categories
Amazon Redshift is categorized as Big Data Integration Platforms
Druid is categorized as Real-time Analytic Database, Time Series Databases, Relational Databases, and Big Data Processing and Distribution
Reviews
Reviewers' Company Size
Amazon Redshift
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Druid
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
15.3%
Computer Software
12.6%
Financial Services
7.7%
Retail
5.2%
Marketing and Advertising
4.7%
Other
54.5%
Computer Software
28.6%
Telecommunications
10.7%
Leisure, Travel & Tourism
10.7%
Retail
7.1%
Information Technology and Services
7.1%
Other
35.7%
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
Is it good to use Druid (for a small dataset) as an in-memory database ?
1 Comment
DG
Yes it is good for medium size data sets to big scale datasetsRead more
Druid has no more discussions with answers
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