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DBMS > Microsoft Azure AI Search vs. PlanetScale vs. Quasardb vs. SiteWhere vs. Splice Machine

System Properties Comparison Microsoft Azure AI Search vs. PlanetScale vs. Quasardb vs. SiteWhere vs. Splice Machine

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonPlanetScale  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentScalable, distributed, serverless MySQL database platform built on top of VitessDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelSearch engineRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchplanetscale.comquasar.aigithub.com/­sitewhere/­sitewheresplicemachine.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchplanetscale.com/­docsdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.htmlsplicemachine.com/­how-it-works
DeveloperMicrosoftPlanetScalequasardbSiteWhereSplice Machine
Initial release20152020200920102014
Current releaseV13.14.1, January 20243.1, March 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++JavaJava
Server operating systemshostedDocker
Linux
macOS
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freepredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes
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.nonono
Secondary indexesyesyesyes infowith tagsnoyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like query languagenoyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
HTTP APIHTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Java
JavaScript
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxnoyes infoJava
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infoconsistent hashingSharding infobased on HBaseShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factorselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard levelACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modenoyes
User concepts infoAccess controlyes infousing Azure authenticationUsers with fine-grained authorization concept infono user groups or rolesCryptographically strong user authentication and audit trailUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
Microsoft Azure AI SearchPlanetScaleQuasardbSiteWhereSplice Machine
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