DBMS > Apache Phoenix vs. Kyligence Enterprise vs. RDFox

System Properties Comparison Apache Phoenix vs. Kyligence Enterprise vs. RDFox

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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 analytics engine for big data, built on top of Apache Kylin

High performance knowledge graph and semantic reasoning engine

Primary database model

Relational DBMS

Graph DBMS
RDF store

Secondary database models

Relational DBMS

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

Score	1.90
Rank	#125	Overall
	#59	Relational DBMS

Score	0.44
Rank	#259	Overall
	#118	Relational DBMS

Score	0.22
Rank	#305	Overall
	#25	Graph DBMS
	#15	RDF stores

Website

phoenix.apache.org

kyligence.io/kyligence-enterprise

www.oxfordsemantic.tech

Technical documentation

phoenix.apache.org

docs.oxfordsemantic.tech

Developer

Apache Software Foundation

Kyligence, Inc.

Oxford Semantic Technologies

Initial release

2014

2016

2017

Current release

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

6.0, Septermber 2022

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

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

Linux

Linux
macOS
Windows

Data scheme

yes

late-bound, schema-on-read capabilities

yes

RDF schemas

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

SQL

Support of SQL

yes

ANSI SQL for queries (using Apache Calcite)

APIs and other access methods

JDBC

JDBC
ODBC
RESTful HTTP API

RESTful HTTP API
SPARQL 1.1

Supported programming languages

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

C
Java

Server-side scripts

Stored procedures

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

replication via a shared file system

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Immediate Consistency

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

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

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

User concepts

Access control

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

Roles, resources, and access types

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More resources

DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
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Recent citations in the news

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16 July 2024, University of Oxford

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20 July 2024, Oxford Mail

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