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DBMS > Microsoft Azure Table Storage vs. ObjectBox vs. OpenEdge vs. Oracle Berkeley DB vs. Realm

System Properties Comparison Microsoft Azure Table Storage vs. ObjectBox vs. OpenEdge vs. Oracle Berkeley DB vs. Realm

Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonObjectBox  Xexclude from comparisonOpenEdge  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsExtremely fast embedded database for small devices, IoT and MobileApplication development environment with integrated database management systemWidely 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 modelWide column storeObject oriented DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesobjectbox.iowww.progress.com/­openedgewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrealm.io
Technical documentationdocs.objectbox.iodocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlrealm.io/­docs
DeveloperMicrosoftObjectBox LimitedProgress Software CorporationOracle infooriginally developed by Sleepycat, which was acquired by OracleRealm, acquired by MongoDB in May 2019
Initial release20122017198419942014
Current releaseOpenEdge 12.2, March 202018.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialOpen Source infocommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
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)
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonoyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoyes infoclose to SQL 92yes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsRESTful HTTP APIProprietary native APIJDBC
ODBC
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Progress proprietary ABL (Advanced Business Language).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 proceduresnonoyesnono inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyesyes infoonly for the SQL APIyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonehorizontal partitioning infosince Version 11.4nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.online/offline synchronization between client and serverSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nononoyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesyesUsers and groupsnoyes
More information provided by the system vendor
Microsoft Azure Table StorageObjectBoxOpenEdgeOracle Berkeley DBRealm
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