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DBMS > Amazon Neptune vs. Microsoft Azure Table Storage vs. OpenEdge vs. OrigoDB vs. Postgres-XL

System Properties Comparison Amazon Neptune vs. Microsoft Azure Table Storage vs. OpenEdge vs. OrigoDB vs. Postgres-XL

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonOrigoDB  Xexclude from comparisonPostgres-XL  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 systemA fully ACID in-memory object graph databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMS
RDF store
Wide column storeRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.96
Rank#115  Overall
#6  Graph DBMS
#4  RDF stores
Score4.86
Rank#65  Overall
#5  Wide column stores
Score3.80
Rank#79  Overall
#41  Relational DBMS
Score0.06
Rank#309  Overall
#41  Document stores
#16  Object oriented DBMS
Score0.47
Rank#213  Overall
#102  Relational DBMS
Websiteaws.amazon.com/­neptuneazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgeorigodb.comwww.postgres-xl.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocumentation.progress.com/­output/­ua/­OpenEdge_latestorigodb.com/­docswww.postgres-xl.org/­documentation
DeveloperAmazonMicrosoftProgress Software CorporationRobert Friberg et al
Initial release2017201219842009 infounder the name LiveDB2014 infosince 2012, originally named StormDB
Current releaseOpenEdge 11.7, March 201710 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialcommercialOpen SourceOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C
Server operating systemshostedhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
macOS
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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.nononono infocan be achieved using .NETyes infoXML type, but no XML query functionality
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyes infoclose to SQL 92noyes infodistributed, parallel query execution
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
RESTful HTTP APIJDBC
ODBC
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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).Net.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoyesyesuser defined functions
Triggersnonoyesyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4horizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Master-slave replicationMaster-slave replication
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 graphsnoyesdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
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 groupsRole based authorizationfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneMicrosoft Azure Table StorageOpenEdgeOrigoDBPostgres-XL
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