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DBMS > ObjectBox vs. Oracle Berkeley DB vs. Realm vs. Sphinx vs. STSdb

System Properties Comparison ObjectBox vs. Oracle Berkeley DB vs. Realm vs. Sphinx vs. STSdb

Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRealm  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionExtremely fast embedded database for small devices, IoT and MobileWidely used in-process key-value storeA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen source search engine for searching in data from different sources, e.g. relational databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelObject oriented DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeSearch engineKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteobjectbox.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrealm.iosphinxsearch.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.objectbox.iodocs.oracle.com/­cd/­E17076_05/­html/­index.htmlrealm.io/­docssphinxsearch.com/­docs
DeveloperObjectBox LimitedOracle infooriginally developed by Sleepycat, which was acquired by OracleRealm, acquired by MongoDB in May 2019Sphinx Technologies Inc.STS Soft SC
Initial release20171994201420012011
Current release18.1.40, May 20203.5.1, February 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infocommercial license availableOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C, Java, C++ (depending on the Berkeley DB edition)C++C#
Server operating systemsAndroid
iOS
Linux
macOS
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Android
Backend: server-less
iOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesnoyes infoprimitive types and user defined types (classes)
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availablenoSQL-like query language (SphinxQL)no
APIs and other access methodsProprietary native APIProprietary protocol.NET Client API
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessarynono
Triggersnoyes infoonly for the SQL APIyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverSource-replica replicationnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-Memory realm
User concepts infoAccess controlyesnoyesnono
More information provided by the system vendor
ObjectBoxOracle Berkeley DBRealmSphinxSTSdb
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