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DBMS > GigaSpaces vs. Microsoft Azure AI Search vs. Microsoft Azure Data Explorer vs. Quasardb vs. SiteWhere

System Properties Comparison GigaSpaces vs. Microsoft Azure AI Search vs. Microsoft Azure Data Explorer vs. Quasardb vs. SiteWhere

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsSearch-as-a-service for web and mobile app developmentFully managed big data interactive analytics platformDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Search engineRelational DBMS infocolumn orientedTime Series DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Vector DBMSDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.gigaspaces.comazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­data-explorerquasar.aigithub.com/­sitewhere/­sitewhere
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­en-us/­azure/­data-explorerdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.html
DeveloperGigaspaces TechnologiesMicrosoftMicrosoftquasardbSiteWhere
Initial release20002015201920092010
Current release15.5, September 2020V1cloud service with continuous releases3.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++Java
Server operating systemsLinux
macOS
Solaris
Windows
hostedhostedBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesFixed schema with schema-less datatypes (dynamic)schema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes infointeger and binaryyes
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.no infoXML can be used for describing objects metadatanoyesnono
Secondary indexesyesyesall fields are automatically indexedyes infowith tagsno
SQL infoSupport of SQLSQL-99 for query and DML statementsnoKusto Query Language (KQL), SQL subsetSQL-like query languageno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP APIHTTP REST
Supported programming languages.Net
C++
Java
Python
Scala
C#
Java
JavaScript
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesnoYes, possible languages: KQL, Python, Rno
Triggersyes, event driven architecturenoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with selectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkwith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoTransient modeno
User concepts infoAccess controlRole-based access controlyes infousing Azure authenticationAzure Active Directory AuthenticationCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept

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More resources
GigaSpacesMicrosoft Azure AI SearchMicrosoft Azure Data ExplorerQuasardbSiteWhere
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