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DBMS > GridDB vs. Microsoft Azure AI Search vs. Oracle Rdb vs. RethinkDB

System Properties Comparison GridDB vs. Microsoft Azure AI Search vs. Oracle Rdb vs. RethinkDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOracle Rdb  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataSearch-as-a-service for web and mobile app developmentDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelTime Series DBMSSearch engineRelational DBMSDocument store
Secondary database modelsKey-value store
Relational DBMS
Vector DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score1.04
Rank#184  Overall
#84  Relational DBMS
Score2.58
Rank#105  Overall
#20  Document stores
Websitegriddb.netazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­database/­technologies/­related/­rdb.htmlrethinkdb.com
Technical documentationdocs.griddb.netlearn.microsoft.com/­en-us/­azure/­searchwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlrethinkdb.com/­docs
DeveloperToshiba CorporationMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)The Linux Foundation infosince July 2017
Initial release2013201519842009
Current release5.1, August 2022V17.4.1.1, 20212.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinuxhostedHP Open VMSLinux
OS X
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes infostring, binary, float, bool, date, geometry
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)noyesno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresnono
TriggersyesnoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoyes, on a single nodeAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess rights for users can be defined per databaseyes infousing Azure authenticationyes infousers and table-level permissions

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More resources
GridDBMicrosoft Azure AI SearchOracle RdbRethinkDB
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