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Compare Apache Phoenix and Druid 
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At a Glance
Market Segments
Enterprise (65.2% of reviews)
Enterprise (57.1% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
Apache Phoenix
Star Rating
(27)3.7 out of 5
Market Segments
Enterprise (65.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache PhoenixDruid
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 DruidSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Apache Phoenix excels in data integration with a score of 8.3, allowing seamless connections with various data sources, while Druid, although strong, does not match this level of integration capability.
- Reviewers mention that Druid shines in real-time data collection, scoring 8.5, which is crucial for businesses needing immediate insights, whereas Apache Phoenix's capabilities in this area are less emphasized.
- G2 users highlight that Druid's built-in data analytics feature scores an impressive 8.7, making it a preferred choice for users looking for robust analytical tools, while Apache Phoenix's analytics capabilities are not as prominently rated.
- Users on G2 indicate that Druid's auto sharding feature, rated at 8.7, significantly enhances its scalability, allowing for efficient data distribution, whereas Apache Phoenix's performance in this area is less competitive.
- Reviewers say that Druid's query latency is notably lower, which is a critical factor for performance-sensitive applications, while Apache Phoenix struggles with query latency, impacting user experience.
- Users report that Druid's security features, including role-based authorization and encryption, are highly rated, providing peace of mind for data-sensitive operations, while Apache Phoenix's security measures are perceived as less robust.
Pricing
Entry-Level Pricing
Apache Phoenix
No pricing availableDruid
No pricing availableFree Trial
Apache Phoenix
No trial information availableDruid
Free Trial is available
Ratings
Meets Requirements
7.8
16
8.4
20
Ease of Use
7.2
16
8.0
20
Ease of Setup
Not enough data
6.4
7
Ease of Admin
Not enough data
6.4
7
Quality of Support
6.6
15
7.9
18
Has the product been a good partner in doing business?
Not enough data
7.7
5
Product Direction (% positive)
7.1
16
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
Not enough data
Not enough data
Not enough data
Management
5.3
6
Not enough data
6.4
6
Not enough data
5.0
5
Not enough data
5.0
5
Not enough data
Support
5.3
5
Not enough data
Not enough data
Not enough data
5.6
6
Not enough data
4.7
6
Not enough data
Security
6.4
6
Not enough data
4.7
6
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
6.3
5
Not enough data
Not enough data
Not enough data
6.1
6
Not enough data
6.4
6
Not enough data
Database Features
6.7
5
Not enough data
7.5
6
Not enough data
6.7
6
Not enough data
7.7
5
Not enough data
6.9
6
Not enough data
6.7
5
Not enough data
6.9
6
Not enough data
Storage
Not enough data
8.8
10
Not enough data
7.8
10
Availability
Not enough data
8.7
9
Not enough data
7.6
9
Not enough data
8.3
10
Performance
Not enough data
8.9
9
Security
Not enough data
8.1
8
Not enough data
9.3
7
Not enough data
8.7
10
Not enough data
8.5
8
Support
Not enough data
8.8
10
Not enough data
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
Apache Phoenix and Druid are categorized as Relational Databases
Unique Categories
Apache Phoenix is categorized as Other Analytics
Druid is categorized as Real-time Analytic Database, Time Series Databases, Columnar Databases, Data Warehouse, and Big Data Processing and Distribution
Reviews
Reviewers' Company Size
Apache Phoenix
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
13.0%
Hospital & Health Care
13.0%
Retail
8.7%
Marketing and Advertising
8.7%
Logistics and Supply Chain
8.7%
Other
47.8%
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
Apache Phoenix 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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