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

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

Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonOceanBase  Xexclude from comparisonPinecone  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 distributed, high available RDBMS compatible with Oracle and MySQLA managed, cloud-native vector databaseOpen-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 DBMSRelational DBMSVector DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteobjectbox.ioen.oceanbase.comwww.pinecone.iosplicemachine.comyanza.com
Technical documentationdocs.objectbox.ioen.oceanbase.com/­docs/­oceanbase-databasedocs.pinecone.io/­docs/­overviewsplicemachine.com/­how-it-works
DeveloperObjectBox LimitedOceanBase infopreviously Alibaba and Ant GroupPinecone Systems, IncSplice MachineYanza
Initial release20172010201920142015
Current release4.3.0, April 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoCommercial license availablecommercialOpen Source infoAGPL 3.0, commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono 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
LinuxhostedLinux
OS X
Solaris
Windows
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanyesno
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.noyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesnoyesno
APIs and other access methodsProprietary native APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
RESTful HTTP APIJDBC
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
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
PythonC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeyes infoJavano
Triggersnoyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by hash, key, range, range columns, list, and list columns)Shared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverMulti-source replication using PaxosMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, 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.nonoyes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
ObjectBoxOceanBasePineconeSplice MachineYanza
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