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DBMS > BoltDB vs. GraphDB vs. SAP HANA vs. Stardog

System Properties Comparison BoltDB vs. GraphDB vs. SAP HANA vs. Stardog

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonSAP HANA  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportIn-memory, column based data store. Available as appliance or cloud serviceEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value storeGraph DBMS
RDF store
Relational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#205  Overall
#36  Key-value stores
Score2.09
Rank#125  Overall
#8  Graph DBMS
#5  RDF stores
Score54.24
Rank#19  Overall
#13  Relational DBMS
Score1.48
Rank#144  Overall
#11  Graph DBMS
#6  RDF stores
Websitegithub.com/­boltdb/­boltgraphdb.ontotext.comwww.sap.com/­products/­hana.htmlwww.stardog.com
Technical documentationgraphdb.ontotext.com/­documentationhelp.sap.com/­hanawww.stardog.com/­docs
DeveloperOntotextSAPStardog-Union
Initial release2013200020102010
Current release8.8, January 20192.0 SPS04 (April 5, 2019), April 20197.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infolimited edition freecommercialcommercial 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 servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM
Linux
OS X
Windows
Appliance or cloud-serviceLinux
macOS
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyesyesyes
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.nononono infoImport/export of XML data possible
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoSPARQL is used as query languageyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
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 languagesGo.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoJava Server PluginSQLScript, Ruser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnonenoneyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes infoConstraint checkingyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoyesyesAccess rights for users and roles
More information provided by the system vendor
BoltDBGraphDB infoformer name: OWLIMSAP HANAStardog
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Stardog provides a full featureset to aid in data integration for your complex data....
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

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More resources
BoltDBGraphDB infoformer name: OWLIMSAP HANAStardog
Conferences and events

Hands-on with the JDBC Driver in GraphDB: Bridging relational queries to the graph world
Webinar, 8:00 AM PDT / 11:00 AM EDT / 5:00 PM CEST, 17 September 2020 (finished)

From Strings to Things with the GraphDB 9.4 Mapping UI
Webinar, 5pm CEST / 11am EDT / 8am PDT, 6 October 2020 (finished)

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