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DBMS > JanusGraph vs. VoltDB vs. Yaacomo

System Properties Comparison JanusGraph vs. VoltDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonVoltDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memoryOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#135  Overall
#12  Graph DBMS
Score1.46
Rank#159  Overall
#74  Relational DBMS
Websitejanusgraph.orgwww.voltdb.comyaacomo.com
Technical documentationdocs.janusgraph.orgdocs.voltdb.com
DeveloperLinux Foundation; originally developed as Titan by AureliusVoltDB Inc.Q2WEB GmbH
Initial release201720102009
Current release0.6.3, February 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editionscommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++
Server operating systemsLinux
OS X
Unix
Windows
Linux
OS X infofor development
Android
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infoonly a subset of SQL 99yes
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesClojure
Java
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesJava
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno infoFOREIGN KEY constraints are not supportedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTransactions are executed single-threaded within stored proceduresACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoSnapshots and command loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerUsers and roles with access to stored proceduresfine grained access rights according to SQL-standard

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More resources
JanusGraph infosuccessor of TitanVoltDBYaacomo
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Simple Deployment of a Graph Database: JanusGraph | by Edward Elson Kosasih
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JanusGraph Picks Up Where TitanDB Left Off
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15 September 2017, ibm.com

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30 January 2014, Datanami

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VoltDB Aims for Fast Big Data Development -- ADTmag
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