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DBMS > ObjectBox vs. Pinecone vs. RDFox vs. Splice Machine vs. Yanza

System Properties Comparison ObjectBox vs. Pinecone vs. RDFox vs. Splice Machine vs. Yanza

Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonPinecone  Xexclude from comparisonRDFox  Xexclude from comparisonSplice Machine  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionExtremely fast embedded database for small devices, IoT and MobileA managed, cloud-native vector databaseHigh performance knowledge graph and semantic reasoning engineOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime Series DBMS for IoT Applications
Primary database modelObject oriented DBMSVector DBMSGraph DBMS
RDF store
Relational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteobjectbox.iowww.pinecone.iowww.oxfordsemantic.techsplicemachine.comyanza.com
Technical documentationdocs.objectbox.iodocs.pinecone.io/­docs/­overviewdocs.oxfordsemantic.techsplicemachine.com/­how-it-works
DeveloperObjectBox LimitedPinecone Systems, IncOxford Semantic TechnologiesSplice MachineYanza
Initial release20172019201720142015
Current release6.0, Septermber 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infoAGPL 3.0, commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++Java
Server operating systemsAndroid
iOS
Linux
macOS
Windows
hostedLinux
macOS
Windows
Linux
OS X
Solaris
Windows
Windows
Data schemeyesyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesString, Number, Booleanyesyesno
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 indexesyesyesno
SQL infoSupport of SQLnononoyesno
APIs and other access methodsProprietary native APIRESTful HTTP APIRESTful HTTP API
SPARQL 1.1
JDBC
Native Spark Datasource
ODBC
HTTP API
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
PythonC
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyes infoJavano
Triggersnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverreplication via a shared file systemMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlyesRoles, resources, and access typesAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
ObjectBoxPineconeRDFoxSplice MachineYanza
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