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DBMS > Manticore Search vs. Microsoft Azure AI Search vs. Riak KV vs. SiteWhere

System Properties Comparison Manticore Search vs. Microsoft Azure AI Search vs. Riak KV vs. SiteWhere

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRiak KV  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.Search-as-a-service for web and mobile app developmentDistributed, fault tolerant key-value storeM2M integration platform for persisting/querying time series data
Primary database modelSearch engineSearch engineKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series 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
Score0.22
Rank#312  Overall
#21  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitemanticoresearch.comazure.microsoft.com/­en-us/­services/­searchgithub.com/­sitewhere/­sitewhere
Technical documentationmanual.manticoresearch.comlearn.microsoft.com/­en-us/­azure/­searchwww.tiot.jp/­riak-docs/­riak/­kv/­latestsitewhere1.sitewhere.io/­index.html
DeveloperManticore SoftwareMicrosoftOpenSource, formerly Basho TechnologiesSiteWhere
Initial release2017201520092010
Current release6.0, February 2023V13.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoGPL version 2commercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoCommon Public Attribution License Version 1.0
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++ErlangJava
Server operating systemsFreeBSD
Linux
macOS
Windows
hostedLinux
OS X
Linux
OS X
Windows
Data schemeFixed schemayesschema-freepredefined scheme
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesnoyes
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 fieldsyesrestrictedno
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIHTTP API
Native Erlang Interface
HTTP REST
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnoErlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
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 infono "single point of failure"Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud serviceselectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesnonono
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.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoyes infousing Azure authenticationyes, using Riak SecurityUsers with fine-grained authorization concept

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More resources
Manticore SearchMicrosoft Azure AI SearchRiak KVSiteWhere
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