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DBMS > Microsoft Azure Table Storage vs. ObjectBox vs. Raima Database Manager vs. RDFox vs. WakandaDB

System Properties Comparison Microsoft Azure Table Storage vs. ObjectBox vs. Raima Database Manager vs. RDFox vs. WakandaDB

Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonObjectBox  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonRDFox  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsExtremely fast embedded database for small devices, IoT and MobileRDBMS with a small footprint, either embedded into an application or used as a database serverHigh performance knowledge graph and semantic reasoning engineWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelWide column storeObject oriented DBMSRelational DBMS
Time Series DBMS
Graph DBMS
RDF store
Object oriented DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesobjectbox.ioraima.comwww.oxfordsemantic.techwakanda.github.io
Technical documentationdocs.objectbox.iodocs.raima.comdocs.oxfordsemantic.techwakanda.github.io/­doc
DeveloperMicrosoftObjectBox LimitedRaima Inc.Oxford Semantic TechnologiesWakanda SAS
Initial release20122017198420172012
Current release15, June 20216.0, Septermber 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CC++C++, JavaScript
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono infoExporting/Importing of XML structures possibleno
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsRESTful HTTP APIProprietary native APIADO.NET
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
RESTful HTTP API
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
.Net
C
C++
Objective-C
PL/SQL
C
Java
JavaScript
Server-side scripts infoStored proceduresnonoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonehorizontal partitioningnone
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 replicationreplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.nonoyesyesno
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesyesnoRoles, resources, and access typesyes
More information provided by the system vendor
Microsoft Azure Table StorageObjectBoxRaima Database Manager infoformerly named db_VistaRDFoxWakandaDB
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Microsoft Azure Table StorageObjectBoxRaima Database Manager infoformerly named db_VistaRDFoxWakandaDB
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