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DBMS > JanusGraph vs. MarkLogic vs. Microsoft Azure SQL Database vs. NSDb

System Properties Comparison JanusGraph vs. MarkLogic vs. Microsoft Azure SQL Database vs. NSDb

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Operational and transactional Enterprise NoSQL databaseDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelGraph DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitejanusgraph.orgwww.marklogic.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasensdb.io
Technical documentationdocs.janusgraph.orgdocs.marklogic.comdocs.microsoft.com/­en-us/­azure/­azure-sqlnsdb.io/­Architecture
DeveloperLinux Foundation; originally developed as Titan by AureliusMarkLogic Corp.Microsoft
Initial release2017200120102017
Current release0.6.3, February 202311.0, December 2022V12
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++Java, Scala
Server operating systemsLinux
OS X
Unix
Windows
Linux
OS X
Windows
hostedLinux
macOS
Data schemeyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, string
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.noyesyesno
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLnoyes infoSQL92yesSQL-like query language
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languagesClojure
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
Server-side scripts infoStored proceduresyesyes infovia XQuery or JavaScriptTransact SQLno
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics engineyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, HazelcastyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexes
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard

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More resources
JanusGraph infosuccessor of TitanMarkLogicMicrosoft Azure SQL Database infoformerly SQL AzureNSDb
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