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DBMS > Amazon Neptune vs. Microsoft Azure Table Storage vs. OpenEdge vs. RDF4J vs. Realm

System Properties Comparison Amazon Neptune vs. Microsoft Azure Table Storage vs. OpenEdge vs. RDF4J vs. Realm

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management systemRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelGraph DBMS
RDF store
Wide column storeRelational DBMSRDF storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score7.60
Rank#52  Overall
#9  Document stores
Websiteaws.amazon.com/­neptuneazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgerdf4j.orgrealm.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocumentation.progress.com/­output/­ua/­OpenEdge_latestrdf4j.org/­documentationrealm.io/­docs
DeveloperAmazonMicrosoftProgress Software CorporationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Realm, acquired by MongoDB in May 2019
Initial release20172012198420042014
Current releaseOpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyesyes 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.nonoyesno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyes infoclose to SQL 92nono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIJDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)Java
PHP
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnonoyesyesno inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyesyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnonenone
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 integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights based on private key authentication or shared access signaturesUsers and groupsnoyes

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More resources
Amazon NeptuneMicrosoft Azure Table StorageOpenEdgeRDF4J infoformerly known as SesameRealm
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