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DBMS > Microsoft Azure AI Search vs. OrigoDB vs. TigerGraph vs. Yaacomo

System Properties Comparison Microsoft Azure AI Search vs. OrigoDB vs. TigerGraph vs. Yaacomo

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonOrigoDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionSearch-as-a-service for web and mobile app developmentA fully ACID in-memory object graph databaseA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelSearch engineDocument store
Object oriented DBMS
Graph DBMSRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.75
Rank#58  Overall
#7  Search engines
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score1.44
Rank#152  Overall
#14  Graph DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchorigodb.comwww.tigergraph.comyaacomo.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchorigodb.com/­docsdocs.tigergraph.com
DeveloperMicrosoftRobert Friberg et alQ2WEB GmbH
Initial release20152009 infounder the name LiveDB20172009
Current releaseV1
License infoCommercial or Open SourcecommercialOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++
Server operating systemshostedLinux
Windows
LinuxAndroid
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes
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.nono infocan be achieved using .NETnono
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoSQL-like query language (GSQL)yes
APIs and other access methodsRESTful HTTP API.NET Client API
HTTP API
LINQ
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
.NetC++
Java
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynodepending on modelyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlyes infousing Azure authenticationRole based authorizationRole-based access controlfine grained access rights according to SQL-standard

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More resources
Microsoft Azure AI SearchOrigoDBTigerGraphYaacomo
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