DBMS > JanusGraph vs. Newts vs. SpaceTime

System Properties Comparison JanusGraph vs. Newts vs. SpaceTime

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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

Time Series DBMS based on Cassandra

SpaceTime is a spatio-temporal DBMS with a focus on performance.

Primary database model

Graph DBMS

Time Series DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	1.78
Rank	#134	Overall
	#12	Graph DBMS

Score	0.00
Rank	#388	Overall
	#40	Time Series DBMS

Score	0.00
Rank	#388	Overall
	#7	Spatial DBMS

Website

janusgraph.org

opennms.github.io/newts

www.mireo.com/spacetime

Technical documentation

docs.janusgraph.org

github.com/OpenNMS/newts/wiki

Developer

Linux Foundation; originally developed as Titan by Aurelius

OpenNMS Group

Mireo

Initial release

2017

2014

2020

Current release

1.0.0, October 2023

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache 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
OS X
Unix
Windows

Linux
OS X
Windows

Linux

Data scheme

yes

schema-free

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

SQL

Support of SQL

A subset of ANSI SQL is implemented

APIs and other access methods

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

HTTP REST
Java API

RESTful HTTP API

Supported programming languages

Clojure
Java
Python

Java

C#
C++
Python

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)

Sharding

based on Cassandra

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor

based on Cassandra

Real-time block device replication (DRBD)

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

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Foreign keys

Referential integrity

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

yes

In-memory capabilities

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

User concepts

Access control

User authentification and security via Rexster Graph Server

yes

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More resources

Recent citations in the news

Compose for JanusGraph arrives on Bluemix
15 September 2017, IBM

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

Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph
3 October 2019, The New Stack

Aerospike Is Now a Graph Database, Too
21 June 2023, Datanami

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

provided by Google News

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