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DBMS > BigObject vs. Cachelot.io vs. GraphDB vs. Quasardb

System Properties Comparison BigObject vs. Cachelot.io vs. GraphDB vs. Quasardb

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCachelot.io  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesIn-memory caching systemEnterprise-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.Distributed, high-performance timeseries database
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeGraph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitebigobject.iocachelot.iowww.ontotext.comquasar.ai
Technical documentationdocs.bigobject.iographdb.ontotext.com/­documentationdoc.quasar.ai/­master
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperBigObject, Inc.Ontotextquasardb
Initial release2015201520002009
Current release10.4, October 20233.14.1, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoSimplified BSD Licensecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageC++JavaC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
OS X
All OS with a Java VM
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesschema-freeschema-free and OWL/RDFS-schema support; RDF shapesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infointeger and binary
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
Secondary indexesyesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like query language
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Memcached protocolGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresLuanowell-defined plugin interfaces; JavaScript server-side extensibilityno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesnoyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlnonoDefault 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.Cryptographically strong user authentication and audit trail
More information provided by the system vendor
BigObjectCachelot.ioGraphDB infoformer name: OWLIMQuasardb
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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