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DBMS > IBM Cloudant vs. Manticore Search vs. PouchDB vs. SingleStore

System Properties Comparison IBM Cloudant vs. Manticore Search vs. PouchDB vs. SingleStore

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonManticore Search  Xexclude from comparisonPouchDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBMulti-storage database for search, including full-text search.JavaScript DBMS with an API inspired by CouchDBMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument storeSearch engineDocument storeRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#95  Overall
#18  Document stores
Score0.23
Rank#301  Overall
#21  Search engines
Score2.18
Rank#114  Overall
#21  Document stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.ibm.com/­products/­cloudantmanticoresearch.compouchdb.comwww.singlestore.com
Technical documentationcloud.ibm.com/­docs/­Cloudantmanual.manticoresearch.compouchdb.com/­guidesdocs.singlestore.com
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Manticore SoftwareApache Software FoundationSingleStore Inc.
Initial release2010201720122013
Current release6.0, February 20237.1.1, June 20198.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Sourcecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++JavaScriptC++, Go
Server operating systemshostedFreeBSD
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux info64 bit version required
Data schemeschema-freeFixed schemaschema-freeyes
Typing infopredefined data types such as float or datenoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleannoyes
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.noCan index from XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsyes infovia viewsyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infobut no triggers and foreign keys
APIs and other access methodsRESTful HTTP/JSON APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST infoonly for PouchDB Server
JavaScript API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScriptBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptuser defined functionsView functions in JavaScriptyes
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infowith a proxy-based framework, named couchdb-loungeSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Synchronous replication based on Galera libraryMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users can be defined per databasenonoFine grained access control via users, groups and roles

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More resources
IBM CloudantManticore SearchPouchDBSingleStore infoformer name was MemSQL
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