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DBMS > Microsoft Azure AI Search vs. MongoDB vs. SpatiaLite

System Properties Comparison Microsoft Azure AI Search vs. MongoDB vs. SpatiaLite

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonMongoDB  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureSpatial extension of SQLite
Primary database modelSearch engineDocument storeSpatial DBMS
Secondary database modelsVector DBMSSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.72
Rank#66  Overall
#8  Search engines
Score424.53
Rank#5  Overall
#1  Document stores
Score1.98
Rank#140  Overall
#3  Spatial DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchwww.mongodb.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchwww.mongodb.com/­docs/­manualwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperMicrosoftMongoDB, IncAlessandro Furieri
Initial release201520092008
Current releaseV16.0.7, June 20235.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesno infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageC++C++
Server operating systemshostedLinux
OS X
Solaris
Windows
server-less
Data schemeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes
APIs and other access methodsRESTful HTTP APIGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languagesC#
Java
JavaScript
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresnoJavaScriptno
Triggersnoyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlyes infousing Azure authenticationAccess rights for users and rolesno
More information provided by the system vendor
Microsoft Azure AI SearchMongoDBSpatiaLite
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
Microsoft Azure AI SearchMongoDBSpatiaLite
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