DBMS > Apache Phoenix vs. Elasticsearch vs. Kuzu

System Properties Comparison Apache Phoenix vs. Elasticsearch vs. Kuzu

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Editorial information provided by DB-Engines

Name

Description

A scale-out RDBMS with evolutionary schema built on Apache HBase

A distributed, RESTful modern search and analytics engine based on Apache Lucene

Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric

An embeddable property Graph DBMS built for query speed and scalability

Primary database model

Relational DBMS

Search engine
Vector DBMS

Graph DBMS

Secondary database models

Document store
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.81
Rank	#124	Overall
	#60	Relational DBMS

Score	128.08
Rank	#8	Overall
	#1	Search engines
	#1	Vector DBMS

Score	0.02
Rank	#368	Overall
	#38	Graph DBMS

Website

phoenix.apache.org

www.elastic.co/elasticsearch

kuzudb.com

Technical documentation

phoenix.apache.org

www.elastic.co/guide/en/elasticsearch/reference/current/index.html

docs.kuzudb.com

Developer

Apache Software Foundation

Elastic

Initial release

2014

2010

2022

Current release

5.0-HBase2, July 2018 and 4.15-HBase1, December 2019

8.6, January 2023

0.4.2, May 2024

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Elastic License

Open Source

MIT license

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++

Server operating systems

Linux
Unix
Windows

All OS with a Java VM

server-less

Data scheme

yes

late-bound, schema-on-read capabilities

schema-free

Flexible type definitions. Once a type is defined, it is persistent

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

All search fields are automatically indexed

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

JDBC

Java API
RESTful HTTP/JSON API

CLI Client
Cypher Query Language

Supported programming languages

C
C#
C++
Go
Groovy
Java
PHP
Python
Scala

.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby

C
C#
C++
Java
JavaScript
Python
Rust

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

ES-Hadoop Connector

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

Memcached and Redis integration

User concepts

Access control

Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy

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More resources

DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021, Krishna Maheshwari (sponsor)

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PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Recent citations in the news

Bridge the SQL-NoSQL gap with Apache Phoenix
9 July 2024, InfoWorld

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix
2 June 2016, Amazon Web Services

Deep dive into Azure HDInsight 4.0
25 September 2018, Microsoft Azure

Apache Drill Adds New Data Formats
28 March 2022, i-programmer.info

Hortonworks Starts Hadoop Summit with Data Platform Update
28 June 2016, ADTmag

provided by Google News

Bubble.io 0-Day Flaw Lets Attackers Run Arbitrary Queries on Elasticsearch
18 April 2025, GBHackers News

Elastic Delivers Performance Gains for Users Running Elasticsearch on Google Axion Processors
11 April 2025, Business Wire

Elasticsearch will be open source again as CTO declares changed landscape
2 September 2024, devclass

Elastic unveils upgrades for Elasticsearch on Google CPUs
15 April 2025, IT Brief Asia

Amazon OpenSearch Service announces Standard and Extended Support dates for Elasticsearch and OpenSearch versions
7 November 2024, Amazon Web Services

provided by Google News

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