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DBMS > Manticore Search vs. Microsoft Azure Table Storage vs. PouchDB vs. Vitess

System Properties Comparison Manticore Search vs. Microsoft Azure Table Storage vs. PouchDB vs. Vitess

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPouchDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.A Wide Column Store for rapid development using massive semi-structured datasetsJavaScript DBMS with an API inspired by CouchDBScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSearch engineWide column storeDocument storeRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#301  Overall
#21  Search engines
Score3.55
Rank#80  Overall
#6  Wide column stores
Score2.18
Rank#114  Overall
#21  Document stores
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitemanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tablespouchdb.comvitess.io
Technical documentationmanual.manticoresearch.compouchdb.com/­guidesvitess.io/­docs
DeveloperManticore SoftwareMicrosoftApache Software FoundationThe Linux Foundation, PlanetScale
Initial release2017201220122013
Current release6.0, February 20237.1.1, June 201915.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoGPL version 2commercialOpen SourceOpen Source infoApache Version 2.0, commercial licenses available
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++JavaScriptGo
Server operating systemsFreeBSD
Linux
macOS
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
Data schemeFixed schemaschema-freeschema-freeyes
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 XMLnono
Secondary indexesyes infofull-text index on all search fieldsnoyes infovia viewsyes
SQL infoSupport of SQLSQL-like query languagenonoyes infowith proprietary extensions
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnoView functions in JavaScriptyes infoproprietary syntax
Triggersnonoyesyes
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 infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic lockingnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Manticore index.yesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
Manticore SearchMicrosoft Azure Table StoragePouchDBVitess
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