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DBMS > GridDB vs. HBase vs. Microsoft Azure AI Search vs. mSQL

System Properties Comparison GridDB vs. HBase vs. Microsoft Azure AI Search vs. mSQL

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataWide-column store based on Apache Hadoop and on concepts of BigTableSearch-as-a-service for web and mobile app developmentmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelTime Series DBMSWide column storeSearch engineRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score5.59
Rank#63  Overall
#7  Search engines
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitegriddb.nethbase.apache.orgazure.microsoft.com/­en-us/­services/­searchhughestech.com.au/­products/­msql
Technical documentationdocs.griddb.nethbase.apache.org/­book.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperToshiba CorporationApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftHughes Technologies
Initial release2013200820151994
Current release5.1, August 20222.3.4, January 2021V14.4, October 2021
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache version 2commercialcommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampoptions to bring your own types, AVROyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)nonoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency or Eventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelSingle row ACID (across millions of columns)nono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
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.yesyesnono
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes infousing Azure authenticationno
More information provided by the system vendor
GridDBHBaseMicrosoft Azure AI SearchmSQL infoMini SQL
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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More resources
GridDBHBaseMicrosoft Azure AI SearchmSQL infoMini SQL
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