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DBMS > Google BigQuery vs. InterSystems Caché vs. Microsoft Azure AI Search vs. Quasardb vs. SiteWhere

System Properties Comparison Google BigQuery vs. InterSystems Caché vs. Microsoft Azure AI Search vs. Quasardb vs. SiteWhere

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionLarge scale data warehouse service with append-only tablesA multi-model DBMS and application serverSearch-as-a-service for web and mobile app developmentDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Search engineTime Series DBMSTime Series DBMS
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitecloud.google.com/­bigquerywww.intersystems.com/­products/­cacheazure.microsoft.com/­en-us/­services/­searchquasar.aigithub.com/­sitewhere/­sitewhere
Technical documentationcloud.google.com/­bigquery/­docsdocs.intersystems.comlearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.html
DeveloperGoogleInterSystemsMicrosoftquasardbSiteWhere
Initial release20101997201520092010
Current release2018.1.4, May 2020V13.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial 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 serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesdepending on used data modelyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes 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.noyesnonono
Secondary indexesnoyesyesyes infowith tagsno
SQL infoSupport of SQLyesyesnoSQL-like query languageno
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP APIHTTP REST
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Java
C#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDnoACIDno
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.noyesnoyes infoTransient modeno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and rolesyes infousing Azure authenticationCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept

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More resources
Google BigQueryInterSystems CachéMicrosoft Azure AI SearchQuasardbSiteWhere
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