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DBMS > GridDB vs. Microsoft Azure AI Search vs. MonetDB vs. Quasardb

System Properties Comparison GridDB vs. Microsoft Azure AI Search vs. MonetDB vs. Quasardb

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMonetDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataSearch-as-a-service for web and mobile app developmentA relational database management system that stores data in columnsDistributed, high-performance timeseries database
Primary database modelTime Series DBMSSearch engineRelational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Vector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitegriddb.netazure.microsoft.com/­en-us/­services/­searchwww.monetdb.orgquasar.ai
Technical documentationdocs.griddb.netlearn.microsoft.com/­en-us/­azure/­searchwww.monetdb.org/­Documentationdoc.quasar.ai/­master
DeveloperToshiba CorporationMicrosoftMonetDB BVquasardb
Initial release2013201520042009
Current release5.1, August 2022V1Dec2023 (11.49), December 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoMozilla Public License 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes infointeger and binary
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
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)noyes infoSQL 2003 with some extensionsSQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
RESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes, in SQL, C, Rno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding via remote tablesSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud servicenone infoSource-replica replication available in experimental statusSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlAccess rights for users can be defined per databaseyes infousing Azure authenticationfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail
More information provided by the system vendor
GridDBMicrosoft Azure AI SearchMonetDBQuasardb
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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GridDBMicrosoft Azure AI SearchMonetDBQuasardb
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