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DBMS > JanusGraph vs. Microsoft Access vs. Oracle Berkeley DB vs. Quasardb

System Properties Comparison JanusGraph vs. Microsoft Access vs. Oracle Berkeley DB vs. Quasardb

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Widely used in-process key-value storeDistributed, high-performance timeseries database
Primary database modelGraph DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitejanusgraph.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlquasar.ai
Technical documentationdocs.janusgraph.orgdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldoc.quasar.ai/­master
DeveloperLinux Foundation; originally developed as Titan by AureliusMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by Oraclequasardb
Initial release2017199219942009
Current release0.6.3, February 20231902 (16.0.11328.20222), March 201918.1.40, May 20203.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infocommercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binary
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardyes infoSQL interfaced based on SQLite is availableSQL-like query language
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languagesClojure
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesyes infosince Access 2010 using the ACE-enginenono
Triggersyesyes infosince Access 2010 using the ACE-engineyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)nonenoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infobut no files for transaction loggingyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlUser authentification and security via Rexster Graph Serverno infoa simple user-level security was built in till version Access 2003noCryptographically strong user authentication and audit trail

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More resources
JanusGraph infosuccessor of TitanMicrosoft AccessOracle Berkeley DBQuasardb
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