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DBMS > GridGain vs. Microsoft Azure AI Search vs. SiteWhere vs. TimesTen

System Properties Comparison GridGain vs. Microsoft Azure AI Search vs. SiteWhere vs. TimesTen

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSiteWhere  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteSearch-as-a-service for web and mobile app developmentM2M integration platform for persisting/querying time series dataAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Search engineTime Series DBMSRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.gridgain.comazure.microsoft.com/­en-us/­services/­searchgithub.com/­sitewhere/­sitewherewww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­en-us/­azure/­searchsitewhere1.sitewhere.io/­index.htmldocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperGridGain Systems, Inc.MicrosoftSiteWhereOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2007201520101998
Current releaseGridGain 8.5.1V1Release 22.1
License infoCommercial or Open Sourcecommercial, open sourcecommercialOpen Source infoCommon Public Attribution License Version 1.0commercial
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 languageJava, C++, .Net, Python, REST, SQLJava
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
hostedLinux
OS X
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIHTTP RESTODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noPL/SQL
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoImplicit feature of the cloud serviceselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
yes infousing Azure authenticationUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
GridGainMicrosoft Azure AI SearchSiteWhereTimesTen
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