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Relational Databases
Apache Phoenix
Druid
Apache Phoenix-vs-Druid
Compare Apache Phoenix and Druid
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Relational Databases
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Small-Business Reviewers
Mid-Market Reviewers
Large Enterprise Reviewers
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At a Glance
Pricing
Ratings
Features
Reviews
Alternatives
Discussions
Add Product
Apache Phoenix
(27)
3.7
out of
5
Apache Phoenix
By
The Apache Software Foundation
Druid
(31)
4.3
out of
5
Druid
By
Druid
At a Glance
Star Rating
(27)
3.7
out of
5
(31)
4.3
out of
5
Market Segments
Enterprise (65.2% of reviews)
Information
Enterprise (57.1% of reviews)
Information
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)
Information
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache Phoenix
Druid
Star Rating
(31)
4.3
out of
5
Market Segments
Enterprise (57.1% of reviews)
Information
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Druid
Apache Phoenix vs Druid
Reviewers felt that Druid meets the needs of their business better than Apache Phoenix.
When comparing quality of ongoing product support, reviewers felt that Druid is the preferred option.
For feature updates and roadmaps, our reviewers preferred the direction of Druid over Apache Phoenix.
Pricing
Entry-Level Pricing
Apache Phoenix
No pricing available
Druid
No pricing available
Free Trial
Apache Phoenix
No trial information available
Druid
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 Warehouse
Hide 16 Features
Show 16 Features
Not enough data
8.2
5
Data Management
Data Integration
Not enough data
8.3
(won by default)
5
Data Compression
Not enough data
8.0
(won by default)
5
Data Quality
Not enough data
8.7
(won by default)
5
Built-In Data Analytics
Not enough data
8.7
(won by default)
5
In-Database Machine Learning
Not enough data
Not enough data
Data Lake Analytics
Not enough data
8.0
(won by default)
5
Integration
AI/ ML Integration
Not enough data
Not enough data
BI Tool Integration
Not enough data
7.0
(won by default)
5
Data lake Integration
Not enough data
Not enough data
Deployment
On-Premise
Not enough data
Not enough data
Cloud
Not enough data
8.3
(won by default)
5
Performance
Scalability
Not enough data
8.3
(won by default)
5
Security
Data Governance
Not enough data
Not enough data
Data Security
Not enough data
Not enough data
Generative AI
AI Text Generation
Not enough data
Not enough data
AI Text Summarization
Not enough data
Not enough data
Relational Databases
Hide 24 Features
Show 24 Features
6.1
7
Not enough data
Management
Data Schema
5.3
(won by default)
6
Not enough data
Query Language
6.4
(won by default)
6
Not enough data
ACID - Complaint
5.0
(won by default)
5
Not enough data
Data Replication
5.0
(won by default)
5
Not enough data
Support
Text Search
5.3
(won by default)
5
Not enough data
Data Types
Not enough data
Not enough data
Languages
5.6
(won by default)
6
Not enough data
Operating Systems
4.7
(won by default)
6
Not enough data
Security
Database Locking
6.4
(won by default)
6
Not enough data
Access Control
4.7
(won by default)
6
Not enough data
Encryption
Not enough data
Not enough data
Authentication
Not enough data
Not enough data
Performance
Disaster Recovery
Not enough data
Not enough data
Data Concurrency
6.3
(won by default)
5
Not enough data
Workload Management
Not enough data
Not enough data
Advanced Indexing
6.1
(won by default)
6
Not enough data
Query Optimizer
6.4
(won by default)
6
Not enough data
Database Features
Storage
6.7
(won by default)
5
Not enough data
Availability
7.5
(won by default)
6
Not enough data
Stability
6.7
(won by default)
6
Not enough data
Scalability
7.7
(won by default)
5
Not enough data
Security
6.9
(won by default)
6
Not enough data
Data Manipulation
6.7
(won by default)
5
Not enough data
Query Language
6.9
(won by default)
6
Not enough data
Columnar Databases
Hide 12 Features
Show 12 Features
Not enough data
8.6
12
Storage
Data Model
Not enough data
8.8
(won by default)
10
Data Types
Not enough data
7.8
(won by default)
10
Availability
Auto Sharding
Not enough data
8.7
(won by default)
9
Auto Recovery
Not enough data
7.6
(won by default)
9
Data Replication
Not enough data
8.3
(won by default)
10
Performance
Integrated Cache
Not enough data
8.9
(won by default)
9
Security
Role-Based Authorization
Not enough data
8.1
(won by default)
8
Authentication
Not enough data
9.3
(won by default)
7
Audit Logs
Not enough data
8.7
(won by default)
10
Encryption
Not enough data
8.5
(won by default)
8
Support
Multi-Model
Not enough data
8.8
(won by default)
10
Operating Systems
Not enough data
9.2
(won by default)
11
Real-time Analytic Database
Hide 10 Features
Show 10 Features
Not enough data
Not enough data
Query latency
Lower query latency
Not enough data
Not enough data
Continuous queries
Not enough data
Not enough data
Data latency
Lower data latency
Not enough data
Not enough data
Data pipeline performance
Not enough data
Not enough data
Connectors
Faster ingestion
Not enough data
Not enough data
Built-in connectors
Not enough data
Not enough data
Scale
Linearly scalable database
Not enough data
Not enough data
Storage management
Not enough data
Not enough data
Architecture
Data security
Not enough data
Not enough data
Lockless architecture
Not enough data
Not enough data
Big Data Processing and Distribution
Hide 10 Features
Show 10 Features
Not enough data
8.6
11
Database
Real-Time Data Collection
Not enough data
8.5
(won by default)
10
Data Distribution
Not enough data
8.7
(won by default)
10
Data Lake
Not enough data
8.8
(won by default)
8
Integrations
Hadoop Integration
Not enough data
8.8
(won by default)
8
Spark Integration
Not enough data
8.1
(won by default)
9
Platform
Machine Scaling
Not enough data
8.5
(won by default)
9
Data Preparation
Not enough data
8.7
(won by default)
9
Spark Integration
Not enough data
8.1
(won by default)
9
Processing
Cloud Processing
Not enough data
8.6
(won by default)
7
Workload Processing
Not enough data
8.7
(won by default)
9
Big Data
Hide 11 Features
Show 11 Features
Not enough data
Not enough data
Building Reports
Data Transformation
Not enough data
Not enough data
Data Modeling
Not enough data
Not enough data
WYSIWYG Report Design
Not enough data
Not enough data
Integration APIs
Not enough data
Not enough data
Platform
Mobile User Support
Not enough data
Not enough data
Customization
Not enough data
Not enough data
User, Role, and Access Management
Not enough data
Not enough data
Internationalization
Not enough data
Not enough data
Sandbox / Test Environments
Not enough data
Not enough data
Performance and Reliability
Not enough data
Not enough data
Breadth of Partner Applications
Not enough data
Not enough data
Categories
Categories
Shared Categories
Apache Phoenix
Druid
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.)
13.0%
Mid-Market
(51-1000 emp.)
21.7%
Enterprise
(> 1000 emp.)
65.2%
Druid
Small-Business
(50 or fewer emp.)
14.3%
Mid-Market
(51-1000 emp.)
28.6%
Enterprise
(> 1000 emp.)
57.1%
Small-Business
(50 or fewer emp.)
13.0%
14.3%
Mid-Market
(51-1000 emp.)
21.7%
28.6%
Enterprise
(> 1000 emp.)
65.2%
57.1%
Reviewers' Industry
Apache Phoenix
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%
Druid
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
Apache Phoenix Alternatives
MySQL
Add MySQL
MS SQL
Add Microsoft SQL Server
PostgreSQL
Add PostgreSQL
Oracle Database
Add Oracle Database
See all alternatives
Druid Alternatives
Snowflake
Add Snowflake
Google Cloud BigQuery
Add Google Cloud BigQuery
Databricks
Add Databricks
InfluxDB
Add InfluxDB
See all alternatives
Discussions
Apache Phoenix Discussions
Apache Phoenix has no discussions with answers
See all discussions
Druid Discussions
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 datasets
Read more
Druid has no more discussions with answers
See all discussions
Ask Apache Phoenix a Question
Contact Apache Phoenix
Ask Druid a Question
Contact Druid
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Druid
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