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DBMS > atoti vs. FatDB vs. Microsoft Azure AI Search vs. PouchDB

System Properties Comparison atoti vs. FatDB vs. Microsoft Azure AI Search vs. PouchDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFatDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPouchDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Search-as-a-service for web and mobile app developmentJavaScript DBMS with an API inspired by CouchDB
Primary database modelObject oriented DBMSDocument store
Key-value store
Search engineDocument store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score2.18
Rank#114  Overall
#21  Document stores
Websiteatoti.ioazure.microsoft.com/­en-us/­services/­searchpouchdb.com
Technical documentationdocs.atoti.iolearn.microsoft.com/­en-us/­azure/­searchpouchdb.com/­guides
DeveloperActiveViamFatCloudMicrosoftApache Software Foundation
Initial release201220152012
Current releaseV17.1.1, June 2019
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#JavaScript
Server operating systemsWindowshostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 infovia views
SQL infoSupport of SQLMultidimensional Expressions (MDX)no infoVia inetgration in SQL Servernono
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC#C#
Java
JavaScript
Python
JavaScript
Server-side scripts infoStored proceduresPythonyes infovia applicationsnoView functions in JavaScript
Triggersyes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoImplicit feature of the cloud serviceMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsyes infousing Azure authenticationno

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More resources
atotiFatDBMicrosoft Azure AI SearchPouchDB
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