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DBMS > Manticore Search vs. Microsoft Azure AI Search vs. Quasardb vs. Yaacomo

System Properties Comparison Manticore Search vs. Microsoft Azure AI Search vs. Quasardb vs. Yaacomo

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionMulti-storage database for search, including full-text search.Search-as-a-service for web and mobile app developmentDistributed, high-performance timeseries databaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelSearch engineSearch engineTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#302  Overall
#21  Search engines
Score5.52
Rank#59  Overall
#6  Search engines
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitemanticoresearch.comazure.microsoft.com/­en-us/­services/­searchquasar.aiyaacomo.com
Technical documentationmanual.manticoresearch.comlearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­master
DeveloperManticore SoftwareMicrosoftquasardbQ2WEB GmbH
Initial release2017201520092009
Current release6.0, February 2023V13.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoGPL version 2commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
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++
Server operating systemsFreeBSD
Linux
macOS
Windows
hostedBSD
Linux
OS X
Windows
Android
Linux
Windows
Data schemeFixed schemayesschema-freeyes
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes infointeger and binaryyes
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 XMLnonono
Secondary indexesyes infofull-text index on all search fieldsyesyes infowith tagsyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageyes
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIHTTP APIJDBC
ODBC
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Manticore index.yesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes
User concepts infoAccess controlnoyes infousing Azure authenticationCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
Manticore SearchMicrosoft Azure AI SearchQuasardbYaacomo
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