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DBMS > Microsoft Azure AI Search vs. NSDb vs. SiteWhere vs. Tigris

System Properties Comparison Microsoft Azure AI Search vs. NSDb vs. SiteWhere vs. Tigris

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparisonSiteWhere  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesM2M integration platform for persisting/querying time series dataA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelSearch engineTime Series DBMSTime Series DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchnsdb.iogithub.com/­sitewhere/­sitewherewww.tigrisdata.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecturesitewhere1.sitewhere.io/­index.htmlwww.tigrisdata.com/­docs
DeveloperMicrosoftSiteWhereTigris Data, Inc.
Initial release2015201720102022
Current releaseV1
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaJava
Server operating systemshostedLinux
macOS
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes
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.nononono
Secondary indexesyesall fields are automatically indexednoyes
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
WebSocket
HTTP RESTCLI Client
gRPC
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
Java
Scala
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresnonono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyes infousing Azure authenticationUsers with fine-grained authorization conceptAccess rights for users and roles

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More resources
Microsoft Azure AI SearchNSDbSiteWhereTigris
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