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DBMS > Dgraph vs. Microsoft Azure Table Storage vs. OrigoDB vs. Yanza

System Properties Comparison Dgraph vs. Microsoft Azure Table Storage vs. OrigoDB vs. Yanza

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOrigoDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed and scalable native Graph DBMSA Wide Column Store for rapid development using massive semi-structured datasetsA fully ACID in-memory object graph databaseTime Series DBMS for IoT Applications
Primary database modelGraph DBMSWide column storeDocument store
Object oriented DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitedgraph.ioazure.microsoft.com/­en-us/­services/­storage/­tablesorigodb.comyanza.com
Technical documentationdgraph.io/­docsorigodb.com/­docs
DeveloperDgraph Labs, Inc.MicrosoftRobert Friberg et alYanza
Initial release201620122009 infounder the name LiveDB2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Sourcecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC#
Server operating systemsLinux
OS X
Windows
hostedLinux
Windows
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsno
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 infocan be achieved using .NETno
Secondary indexesyesnoyesno
SQL infoSupport of SQLnononono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
RESTful HTTP API.NET Client API
HTTP API
LINQ
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Netany language that supports HTTP calls
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyes infoDomain Eventsyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoPlanned for future releasesAccess rights based on private key authentication or shared access signaturesRole based authorizationno

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More resources
DgraphMicrosoft Azure Table StorageOrigoDBYanza
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Dgraph on AWS: Setting up a horizontally scalable graph database
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