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DBMS > JaguarDB vs. Oracle Berkeley DB vs. Realm

System Properties Comparison JaguarDB vs. Oracle Berkeley DB vs. Realm

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Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsWidely 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 Data
Primary database modelKey-value store
Vector DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#380  Overall
#58  Key-value stores
#17  Vector DBMS
Score1.86
Rank#127  Overall
#21  Key-value stores
#3  Native XML DBMS
Score7.05
Rank#53  Overall
#8  Document stores
Websitewww.jaguardb.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrealm.io
Technical documentationwww.jaguardb.com/­support.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.htmlrealm.io/­docs
DeveloperDataJaguar, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleRealm, acquired by MongoDB in May 2019
Initial release201519942014
Current release3.3 July 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoGPL V3.0Open Source infocommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesyesyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.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
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessary
Triggersnoyes infoonly for the SQL APIyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyesyes
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 controlrights management via user accountsnoyes

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JaguarDBOracle Berkeley DBRealm
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