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DBMS > Microsoft Azure AI Search vs. Quasardb vs. RavenDB vs. Rockset vs. SiteWhere

System Properties Comparison Microsoft Azure AI Search vs. Quasardb vs. RavenDB vs. Rockset vs. SiteWhere

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  Xexclude from comparisonRavenDB  Xexclude from comparisonRockset  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentDistributed, high-performance timeseries databaseOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA scalable, reliable search and analytics service in the cloud, built on RocksDBM2M integration platform for persisting/querying time series data
Primary database modelSearch engineTime Series DBMSDocument storeDocument storeTime Series DBMS
Secondary database modelsVector DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.79
Rank#211  Overall
#35  Document stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchquasar.airavendb.netrockset.comgithub.com/­sitewhere/­sitewhere
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­masterravendb.net/­docsdocs.rockset.comsitewhere1.sitewhere.io/­index.html
DeveloperMicrosoftquasardbHibernating RhinosRocksetSiteWhere
Initial release20152009201020192010
Current releaseV13.14.1, January 20245.4, July 2022
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL version 3, commercial license availablecommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#C++Java
Server operating systemshostedBSD
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
hostedLinux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyes infointeger and binarynodynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesyesyes infowith tagsyesall fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (RQL)Read-only SQL queries, including JOINsno
APIs and other access methodsRESTful HTTP APIHTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP RESTHTTP REST
Supported programming languagesC#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashingShardingAutomatic shardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factorMulti-source replicationyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availablenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeno
User concepts infoAccess controlyes infousing Azure authenticationCryptographically strong user authentication and audit trailAuthorization levels configured per client per databaseAccess rights for users and organizations can be defined via Rockset consoleUsers with fine-grained authorization concept

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More resources
Microsoft Azure AI SearchQuasardbRavenDBRocksetSiteWhere
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