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DBMS > ObjectBox vs. OpenEdge vs. Quasardb vs. Splice Machine

System Properties Comparison ObjectBox vs. OpenEdge vs. Quasardb vs. Splice Machine

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonOpenEdge  Xexclude from comparisonQuasardb  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsApplication development environment with integrated database management systemDistributed, high-performance timeseries databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelObject oriented DBMS
Vector DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­objectbox
objectbox.io
www.progress.com/­openedgequasar.aisplicemachine.com
Technical documentationdocs.objectbox.iodocumentation.progress.com/­output/­ua/­OpenEdge_latestdoc.quasar.ai/­mastersplicemachine.com/­how-it-works
DeveloperObjectBox LimitedProgress Software CorporationquasardbSplice Machine
Initial release2017198420092014
Current release4.0 (May 2024)OpenEdge 12.2, March 20203.14.1, January 20243.1, March 2021
License infoCommercial or Open SourceBindings are released under Apache 2.0 infoApache License 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0, commercial license 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 languageC and C++C++Java
Server operating systemsAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
AIX
HP-UX
Linux
Solaris
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes, plus "flex" map-like typesyesyes infointeger and binaryyes
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.noyesno
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLnoyes infoclose to SQL 92SQL-like query languageyes
APIs and other access methodsProprietary native APIJDBC
ODBC
HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Progress proprietary ABL (Advanced Business Language).Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnoyes infoJava
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infosince Version 11.4Sharding infoconsistent hashingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesData sync between devices allowing occasional connected databases to work completely offlineSource-replica replicationSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyes
User concepts infoAccess controlyesUsers and groupsCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
ObjectBoxOpenEdgeQuasardbSplice Machine
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More resources
ObjectBoxOpenEdgeQuasardbSplice Machine
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