DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

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

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparisonSiteWhere  Xexclude from comparisonSplunk  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 dataAnalytics Platform for Big Data
Primary database modelSearch engineTime Series DBMSTime Series DBMSSearch engine
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
Score89.10
Rank#14  Overall
#2  Search engines
Websiteazure.microsoft.com/­en-us/­services/­searchnsdb.iogithub.com/­sitewhere/­sitewherewww.splunk.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecturesitewhere1.sitewhere.io/­index.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperMicrosoftSiteWhereSplunk Inc.
Initial release2015201720102003
Current releaseV1
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0commercial infoLimited free edition and free developer edition available
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
OS X
Solaris
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.nononoyes
Secondary indexesyesall fields are automatically indexednoyes
SQL infoSupport of SQLnoSQL-like query languagenono infoSplunk Search Processing Language for search commands
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
WebSocket
HTTP RESTHTTP REST
Supported programming languagesC#
Java
JavaScript
Python
Java
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersnoyes
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 HBaseMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlyes infousing Azure authenticationUsers with fine-grained authorization conceptAccess rights for users and roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Microsoft Azure AI SearchNSDbSiteWhereSplunk
DB-Engines blog posts

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

show all

Recent citations in the news

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, Microsoft

Microsoft and ServiceNow at Knowledge 2024: Introducing generative AI innovation
13 June 2024, Microsoft

Azure OpenAI Service: Transforming legal practices with generative AI solutions
12 June 2024, Microsoft

Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates
2 April 2024, Microsoft

Raise the bar on AI-powered app development with Azure Database for PostgreSQL
5 June 2024, Microsoft

provided by Google News

SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

11 Best Open source IoT Platforms To Develop Smart Projects
9 March 2023, H2S Media

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here