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DBMS > Graph Engine vs. LevelDB vs. Titan vs. VoltDB

System Properties Comparison Graph Engine vs. LevelDB vs. Titan vs. VoltDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonLevelDB  Xexclude from comparisonTitan  Xexclude from comparisonVoltDB  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesTitan is a Graph DBMS optimized for distributed clusters.Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelGraph DBMS
Key-value store
Key-value storeGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.graphengine.iogithub.com/­google/­leveldbgithub.com/­thinkaurelius/­titanwww.voltdb.com
Technical documentationwww.graphengine.io/­docs/­manualgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­thinkaurelius/­titan/­wikidocs.voltdb.com
DeveloperMicrosoftGoogleAurelius, owned by DataStaxVoltDB Inc.
Initial release2010201120122010
Current release1.23, February 202111.3, April 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoBSDOpen Source infoApache license, version 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++JavaJava, C++
Server operating systems.NETIllumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X infofor development
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnononoyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#
C++
F#
Visual Basic
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Clojure
Java
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesnoyesJava
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infowith automatic compression on writesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnoUser authentification and security via Rexster Graph ServerUsers and roles with access to stored procedures

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More resources
Graph Engine infoformer name: TrinityLevelDBTitanVoltDB
DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

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