Compare CrateDB and Druid 
At a Glance
Market Segments
CrateDB
Small-Business (55.6% of reviews)
Druid
Enterprise (57.1% of reviews)
Entry-Level Pricing
CrateDB
FreeDruid
No pricing availableFeatured Products
Sponsored
WarpStream
(0)
Big Data Processing and Distribution
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QuestDB
(32)
Time Series Databases
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CrateDB vs Druid
- Users report that CrateDB excels in Ease of Use with a score of 9.0, while Druid lags behind at 8.0. Reviewers mention that CrateDB's intuitive interface makes it easier for small businesses to adopt and utilize effectively.
- Reviewers mention that CrateDB's Data Model is rated exceptionally high at 9.7, indicating a robust structure for handling diverse data types. In contrast, Druid's score of 8.8 suggests it may not be as flexible in this area.
- Users on G2 highlight CrateDB's superior Quality of Support with a score of 9.0, compared to Druid's 7.9. Reviewers say that CrateDB's support team is responsive and helpful, which is crucial for businesses that rely on timely assistance.
- G2 users report that CrateDB offers better Data Replication capabilities, scoring 9.7, while Druid's score of 8.3 indicates potential limitations. Reviewers mention that CrateDB's replication features are essential for maintaining data integrity across distributed systems.
- Users say that CrateDB shines in Real-Time Data Collection with a score of 8.5, which is vital for businesses needing immediate insights. Druid's performance in this area is not as strong, suggesting it may not be the best choice for real-time analytics.
- Reviewers mention that CrateDB's Integrated Cache feature scores a perfect 10.0, enhancing performance significantly. In contrast, Druid's score of 8.9 indicates it may not optimize query performance as effectively as CrateDB does.
Pricing
Entry-Level Pricing
CrateDB
Self-deployed
Free
Manual deployment on your own infrastructure
- https://cratedb.com/product/editions/self-deployed
Druid
No pricing availableFree Trial
CrateDB
Free Trial is available
Druid
Free Trial is available
Ratings
Meets Requirements
8.8
54
8.4
20
Ease of Use
9.0
57
8.0
20
Ease of Setup
8.9
43
6.4
7
Ease of Admin
8.8
28
6.4
7
Quality of Support
9.0
50
7.9
18
Has the product been a good partner in doing business?
9.3
22
7.7
5
Product Direction (% positive)
8.8
56
7.3
17
Features by Category
Data Management
Not enough data
8.3
5
Not enough data
8.0
5
Not enough data
8.7
5
Not enough data
8.7
5
Not enough data
Not enough data
Not enough data
8.0
5
Integration
Not enough data
Not enough data
Not enough data
7.0
5
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
8.3
5
Performance
Not enough data
8.3
5
Security
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
Data Management
9.7
5
Not enough data
9.3
5
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Availability
8.3
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
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
Support
Not enough data
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Storage
9.2
6
8.8
10
9.5
7
7.8
10
Availability
10.0
8
8.7
9
9.4
6
7.6
9
9.7
6
8.3
10
Performance
10.0
5
8.9
9
Security
8.3
5
8.1
8
8.9
6
9.3
7
9.0
5
8.7
10
7.5
6
8.5
8
Support
10.0
6
8.8
10
10.0
5
9.2
11
Data Indexing
8.7
13
Not enough data
8.6
13
Not enough data
Filters
8.3
13
Not enough data
8.1
13
Not enough data
Query latency
8.8
18
Not enough data
8.4
18
Not enough data
Data latency
8.4
17
Not enough data
8.3
17
Not enough data
Connectors
8.3
17
Not enough data
8.6
17
Not enough data
Scale
8.9
16
Not enough data
8.1
15
Not enough data
Architecture
8.6
17
Not enough data
8.5
16
Not enough data
Configuration
9.0
7
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
7.8
6
Not enough data
Database Administration
8.9
6
Not enough data
7.8
6
Not enough data
7.5
6
Not enough data
Availability
9.3
5
Not enough data
8.3
5
Not enough data
7.0
5
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
Data Management
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
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
Categories
Categories
Shared Categories
CrateDB and Druid are categorized as Columnar Databases, Time Series Databases, and Real-time Analytic Database
Unique Categories
Druid is categorized as Relational Databases, Data Warehouse, and Big Data Processing and Distribution
Reviews
Reviewers' Company Size
CrateDB
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
Computer Software
29.2%
Consulting
16.7%
Information Technology and Services
11.1%
Program Development
4.2%
Financial Services
4.2%
Other
34.7%
Computer Software
28.6%
Telecommunications
10.7%
Leisure, Travel & Tourism
10.7%
Retail
7.1%
Information Technology and Services
7.1%
Other
35.7%
Most Helpful Reviews
CrateDB
Most Helpful Favorable Review
Verified User in Automotive
It is a single, standalone solution covering a wide range of our needs. CrateDB stands its place for different database workloads, be it time-series data, document indexing, or vector search, and still, it comes with ease of use, deployment has never been...
Most Helpful Critical Review
Armen N.
Verified User in Computer & Network Security
Database configuration challenges abound
Druid
Most Helpful Favorable Review
Verified User in Market Research
It excellently supports horizontal scalability, The deep storage functionality improves data resilience and makes it easy to add a new node. Since the data is partitioned by time out of the box, time-based queries perform exceedingly well. It can ingest a...
Most Helpful Critical Review
Verified User in Marketing and Advertising
The ability to modify its configuration could cause a serious threat to the security. Creation of personalized protocol also would mean that new bugs will be created. So we will need more debuggers.
Verified User in Automotive
It is a single, standalone solution covering a wide range of our needs. CrateDB stands its place for different database workloads, be it time-series data, document indexing, or vector search, and still, it comes with ease of use, deployment has never been...
Verified User in Market Research
It excellently supports horizontal scalability, The deep storage functionality improves data resilience and makes it easy to add a new node. Since the data is partitioned by time out of the box, time-based queries perform exceedingly well. It can ingest a...
Armen N.
Verified User in Computer & Network Security
Database configuration challenges abound
Verified User in Marketing and Advertising
The ability to modify its configuration could cause a serious threat to the security. Creation of personalized protocol also would mean that new bugs will be created. So we will need more debuggers.
Alternatives
Discussions
CrateDB has no discussions with answers
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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