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DBMS > FeatureBase vs. ObjectBox vs. OpenTenBase

System Properties Comparison FeatureBase vs. ObjectBox vs. OpenTenBase

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonObjectBox  Xexclude from comparisonOpenTenBase  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsAn enterprise-level distributed HTAP open source database based on PostgreSQL
Primary database modelRelational DBMSObject oriented DBMS
Vector DBMS
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#292  Overall
#132  Relational DBMS
Score1.09
Rank#172  Overall
#7  Object oriented DBMS
#12  Vector DBMS
Score0.00
Rank#390  Overall
#157  Relational DBMS
Websitewww.featurebase.comgithub.com/­objectbox
objectbox.io
github.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
Technical documentationdocs.featurebase.comdocs.objectbox.iodocs.opentenbase.org
docs.opentenbase.org/­en
DeveloperMolecula and Pilosa Open Source ContributorsObjectBox LimitedOpenAtom Foundation, previously Tencent
Initial release20172017
Current release2022, May 20224.0 (May 2024)2.5, January 2024
License infoCommercial or Open SourcecommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++
Server operating systemsLinux
macOS
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL queriesnoyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Proprietary native API
Supported programming languagesJava
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C
Go
Java
PHP
Python
Server-side scripts infoStored proceduresno
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesData sync between devices allowing occasional connected databases to work completely offlineyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
FeatureBaseObjectBoxOpenTenBase
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