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DBMS > BoltDB vs. GraphDB vs. Linter vs. Sphinx

System Properties Comparison BoltDB vs. GraphDB vs. Linter vs. Sphinx

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonLinter  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.RDBMS for high security requirementsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeGraph DBMS
RDF store
Relational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.70
Rank#225  Overall
#31  Key-value stores
Score2.76
Rank#99  Overall
#8  Graph DBMS
#4  RDF stores
Score0.03
Rank#368  Overall
#156  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websitegithub.com/­boltdb/­boltwww.ontotext.comlinter.rusphinxsearch.com
Technical documentationgraphdb.ontotext.com/­documentationsphinxsearch.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextrelex.ruSphinx Technologies Inc.
Initial release2013200019902001
Current release10.4, October 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC and C++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM
Linux
OS X
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesyesyes
Typing infopredefined data types such as float or datenoyesyesno
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.nonono
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesSQL-like query language (SphinxQL)
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Proprietary protocol
Supported programming languagesGo.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilityyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replicationnone
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 Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.fine grained access rights according to SQL-standardno
More information provided by the system vendor
BoltDBGraphDB infoformer name: OWLIMLinterSphinx
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success
22 August 2024

The Power of Knowledge Graphs – A Chat with Perfect Memory and Ontotext
16 August 2024

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More resources
BoltDBGraphDB infoformer name: OWLIMLinterSphinx
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