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DBMS > JanusGraph vs. NSDb vs. SAP SQL Anywhere vs. Stardog

System Properties Comparison JanusGraph vs. NSDb vs. SAP SQL Anywhere vs. Stardog

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonNSDb  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMSTime Series DBMSRelational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitejanusgraph.orgnsdb.iowww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.stardog.com
Technical documentationdocs.janusgraph.orgnsdb.io/­Architecturehelp.sap.com/­docs/­SAP_SQL_Anywheredocs.stardog.com
DeveloperLinux Foundation; originally developed as Titan by AureliusSAP infoformerly SybaseStardog-Union
Initial release2017201719922010
Current release0.6.3, February 202317, July 20157.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaJava
Server operating systemsLinux
OS X
Unix
Windows
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes
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.nonoyesno infoImport/export of XML data possible
Secondary indexesyesall fields are automatically indexedyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoSQL-like query languageyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
gRPC
HTTP REST
WebSocket
ADO.NET
HTTP API
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesClojure
Java
Python
Java
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes, in C/C++, Java, .Net or Perluser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoDatabase mirroringMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, HazelcastUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
JanusGraph infosuccessor of TitanNSDbSAP SQL Anywhere infoformerly called Adaptive Server AnywhereStardog
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