DBMS > JanusGraph vs. SwayDB

System Properties Comparison JanusGraph vs. SwayDB

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Editorial information provided by DB-Engines

Name

Description

A Graph DBMS optimized for distributed clusters

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

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Primary database model

Graph DBMS

Key-value store

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

Score	1.73
Rank	#130	Overall
	#10	Graph DBMS

Score	0.00
Rank	#393	Overall
	#62	Key-value stores

Website

janusgraph.org

swaydb.simer.au

Technical documentation

docs.janusgraph.org

Developer

Linux Foundation; originally developed as Titan by Aurelius

Simer Plaha

Initial release

2017

2018

Current release

1.0.0, October 2023

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

GNU Affero GPL V3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Scala

Server operating systems

Linux
OS X
Unix
Windows

Data scheme

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

APIs and other access methods

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

Supported programming languages

Clojure
Java
Python

Java
Kotlin
Scala

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

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

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Faunus, a graph analytics engine

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

Atomic execution of operations

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

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

User authentification and security via Rexster Graph Server

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More resources

Recent citations in the news

Database Deep Dives: JanusGraph
8 August 2019, IBM

Suitability of Graph Database Technology for the Analysis of Spatio-Temporal Data
14 July 2020, Towards Data Science

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

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

Third Time Is The Charm For Nebula Graph Database
19 January 2021, The Next Platform

provided by Google News

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