DBMS > Apache Phoenix vs. JanusGraph vs. TinkerGraph

System Properties Comparison Apache Phoenix vs. JanusGraph vs. TinkerGraph

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Editorial information provided by DB-Engines

Name

Description

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

A Graph DBMS optimized for distributed clusters

It was forked from the latest code base of Titan in January 2017

A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API

Primary database model

Relational DBMS

Graph DBMS

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

Score	1.82
Rank	#124	Overall
	#60	Relational DBMS

Score	1.78
Rank	#127	Overall
	#10	Graph DBMS

Score	0.05
Rank	#356	Overall
	#37	Graph DBMS

Website

phoenix.apache.org

janusgraph.org

tinkerpop.apache.org/docs/current/reference/#tinkergraph-gremlin

Technical documentation

phoenix.apache.org

docs.janusgraph.org

Developer

Apache Software Foundation

Linux Foundation; originally developed as Titan by Aurelius

Initial release

2014

2017

2009

Current release

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

1.0.0, October 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache 2.0

Open Source

Apache 2.0

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

Server operating systems

Linux
Unix
Windows

Linux
OS X
Unix
Windows

Data scheme

yes

late-bound, schema-on-read capabilities

yes

schema-free

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

APIs and other access methods

JDBC

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

TinkerPop 3

Supported programming languages

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

Clojure
Java
Python

Groovy
Java

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

depending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)

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

yes

via Faunus, a graph analytics engine

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Eventual Consistency
Immediate Consistency

none

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Relationships in graphs

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

Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast

optional

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

User authentification and security via Rexster Graph Server

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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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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

Azure #HDInsight Apache Phoenix now supports Zeppelin
16 August 2018, Microsoft Azure

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

Amazon EMR 4.7.0 – Apache Tez & Phoenix, Updates to Existing Apps
2 June 2016, Amazon Web Services

provided by Google News

Database Deep Dives: JanusGraph
8 August 2019, IBM

Update Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph
28 March 2022, InApps Technology

The year of the graph: Getting graphic, going native, reshaping the landscape
8 January 2018, ZDNet

Performance Tuning Your Titan Graph Database on AWS
14 December 2015, Amazon Web Services

Advantages of graph databases: Easier data modeling, analytics
23 January 2019, TechTarget

provided by Google News

Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune
3 June 2024, Amazon Web Services (AWS)

Automated testing of Amazon Neptune data access with Apache TinkerPop Gremlin
28 September 2022, Amazon Web Services (AWS)

Figure 6: Performance of Dijkstra's algorithm in Property Graph...
7 February 2018, ResearchGate

Exploring new features of Apache TinkerPop 3.7.x in Amazon Neptune
7 June 2024, Amazon Web Services (AWS)

provided by Google News

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