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DBMS > Citus vs. JanusGraph vs. Microsoft Access vs. YottaDB

System Properties Comparison Citus vs. JanusGraph vs. Microsoft Access vs. YottaDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA 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.)A fast and solid embedded Key-value store
Primary database modelRelational DBMSGraph DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.citusdata.comjanusgraph.orgwww.microsoft.com/­en-us/­microsoft-365/­accessyottadb.com
Technical documentationdocs.citusdata.comdocs.janusgraph.orgdeveloper.microsoft.com/­en-us/­accessyottadb.com/­resources/­documentation
DeveloperLinux Foundation; originally developed as Titan by AureliusMicrosoftYottaDB, LLC
Initial release2010201719922001
Current release8.1, December 20180.6.3, February 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++C
Server operating systemsLinuxLinux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsDocker
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyes infobut not compliant to any SQL standardby using the Octo plugin
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
DAO
ODBC
OLE DB
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Clojure
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyes infosince Access 2010 using the ACE-engine
Triggersyesyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infobut no files for transaction loggingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serverno infoa simple user-level security was built in till version Access 2003Users and groups based on OS-security mechanisms

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More resources
CitusJanusGraph infosuccessor of TitanMicrosoft AccessYottaDB
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