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

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

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAn embedded key-value store for Go.GridGain 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 data
Primary database modelKey-value storeKey-value store
Relational DBMS
Search engineTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitegithub.com/­boltdb/­boltwww.gridgain.comazure.microsoft.com/­en-us/­services/­searchgithub.com/­sitewhere/­sitewhere
Technical documentationwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­en-us/­azure/­searchsitewhere1.sitewhere.io/­index.html
DeveloperGridGain Systems, Inc.MicrosoftSiteWhere
Initial release2013200720152010
Current releaseGridGain 8.5.1V1
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
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 languageGoJava, C++, .NetJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeyesyespredefined scheme
Typing infopredefined data types such as float or datenoyesyesyes
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.noyesnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIHTTP REST
Supported programming languagesGoC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)yes infoImplicit feature of the cloud serviceselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesnono
User concepts infoAccess controlnoSecurity Hooks for custom implementationsyes infousing Azure authenticationUsers with fine-grained authorization concept

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More resources
BoltDBGridGainMicrosoft Azure AI SearchSiteWhere
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