DBMS > JanusGraph vs. VoltDB vs. Warp 10

System Properties Comparison JanusGraph vs. VoltDB vs. Warp 10

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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

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase

Primary database model

Graph DBMS

Relational DBMS

Time Series DBMS

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

Score	1.69
Rank	#130	Overall
	#10	Graph DBMS

Score	1.23
Rank	#162	Overall
	#73	Relational DBMS

Score	0.10
Rank	#337	Overall
	#30	Time Series DBMS

Website

janusgraph.org

www.voltdb.com

www.warp10.io

Technical documentation

docs.janusgraph.org

docs.voltdb.com

www.warp10.io/content/02_Getting_started

Developer

Linux Foundation; originally developed as Titan by Aurelius

VoltDB Inc.

SenX

Initial release

2017

2010

2015

Current release

1.0.0, October 2023

11.3, April 2022

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

Open Source

Apache License 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

Java, C++

Java

Server operating systems

Linux
OS X
Unix
Windows

Linux
OS X

for development

Linux
OS X
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

yes

only a subset of SQL 99

APIs and other access methods

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

Java API
JDBC
RESTful HTTP/JSON API

HTTP API
Jupyter
WebSocket

Supported programming languages

Clojure
Java
Python

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

yes

Java

yes

WarpScript

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 HBase

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

selectable replication factor

based on HBase

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

based on HBase

Foreign keys

Referential integrity

yes

Relationships in graphs

FOREIGN KEY constraints are not supported

Transaction concepts

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

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

yes

Durability

Support for making data persistent

yes

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

yes

Snapshots and command logging

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

Users and roles with access to stored procedures

Mandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources

Recent citations in the news

Simple Deployment of a Graph Database: JanusGraph | by Edward Elson Kosasih
12 October 2020, Towards Data Science

Database Deep Dives: JanusGraph
8 August 2019, IBM

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

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

provided by Google News

VoltDB Launches Active(N) Lossless Cross Data Center Replication
31 August 2021, PR Newswire

VoltDB Announces Latest Version Of Its In-Memory Database
9 February 2018, RTInsights

MemSQL, VoltDB Vie For In-Memory Big Data Role
12 February 2015, InformationWeek

VoltDB Advances Open Source Capabilities to Meet Growing Demand for Real-Time Applications
28 August 2018, PR Newswire Asia

VoltDB Partners with Google Cloud for 5G Edge Applications
24 June 2021, PR Newswire

provided by Google News

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