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DBMS > Manticore Search vs. Microsoft Azure SQL Database vs. OrigoDB vs. PouchDB

System Properties Comparison Manticore Search vs. Microsoft Azure SQL Database vs. OrigoDB vs. PouchDB

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.Database as a Service offering with high compatibility to Microsoft SQL ServerA fully ACID in-memory object graph databaseJavaScript DBMS with an API inspired by CouchDB
Primary database modelSearch engineRelational DBMSDocument store
Object oriented DBMS
Document store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#312  Overall
#21  Search engines
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitemanticoresearch.comazure.microsoft.com/­en-us/­products/­azure-sql/­databaseorigodb.compouchdb.com
Technical documentationmanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­azure-sqlorigodb.com/­docspouchdb.com/­guides
DeveloperManticore SoftwareMicrosoftRobert Friberg et alApache Software Foundation
Initial release201720102009 infounder the name LiveDB2012
Current release6.0, February 2023V127.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2commercialOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C#JavaScript
Server operating systemsFreeBSD
Linux
macOS
Windows
hostedLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeFixed schemayesyesschema-free
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanyesUser defined using .NET types and collectionsno
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.Can index from XMLyesno infocan be achieved using .NETno
Secondary indexesyes infofull-text index on all search fieldsyesyesyes infovia views
SQL infoSupport of SQLSQL-like query languageyesnono
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.NetJavaScript
Server-side scripts infoStored proceduresuser defined functionsTransact SQLyesView functions in JavaScript
Triggersnoyesyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning infoclient side managed; servers are not synchronizedSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyes, with always 3 replicas availableSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Manticore index.yesyes infoWrite ahead logyes 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.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole based authorizationno

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More resources
Manticore SearchMicrosoft Azure SQL Database infoformerly SQL AzureOrigoDBPouchDB
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Integrating Manticore Search with Apache Superset
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