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DBMS > Microsoft Azure AI Search vs. Oracle Berkeley DB vs. TigerGraph

System Properties Comparison Microsoft Azure AI Search vs. Oracle Berkeley DB vs. TigerGraph

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentWidely used in-process key-value storeA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.tigergraph.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.tigergraph.com
DeveloperMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201519942017
Current releaseV118.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyes
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
Java
JavaScript
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresnonoyes
Triggersnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes infousing Azure authenticationnoRole-based access control

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More resources
Microsoft Azure AI SearchOracle Berkeley DBTigerGraph
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