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DBMS > Hyprcubd vs. IBM Db2 vs. PouchDB vs. Sphinx

System Properties Comparison Hyprcubd vs. IBM Db2 vs. PouchDB vs. Sphinx

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonPouchDB  Xexclude from comparisonSphinx  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSCommon in IBM host environments, 2 different versions for host and Windows/LinuxJavaScript DBMS with an API inspired by CouchDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBDocument storeSearch engine
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score123.05
Rank#9  Overall
#6  Relational DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Score5.97
Rank#56  Overall
#5  Search engines
Websitehyprcubd.com (offline)www.ibm.com/­products/­db2pouchdb.comsphinxsearch.com
Technical documentationwww.ibm.com/­docs/­en/­db2pouchdb.com/­guidessphinxsearch.com/­docs
DeveloperHyprcubd, Inc.IBMApache Software FoundationSphinx Technologies Inc.
Initial release1983 infohost version20122001
Current release12.1, October 20167.1.1, June 20193.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree version is availableOpen SourceOpen Source infoGPL version 2, commercial licence 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 languageGoC and C++JavaScriptC++
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
server-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesnono
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.nono
Secondary indexesnoyesyes infovia viewsyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like query language (SphinxQL)
APIs and other access methodsgRPC (https)ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
HTTP REST infoonly for PouchDB Server
JavaScript API
Proprietary protocol
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesView functions in JavaScriptno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux VersionSharding infowith a proxy-based framework, named couchdb-loungeSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datanoyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controltoken accessfine grained access rights according to SQL-standardnono

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More resources
HyprcubdIBM Db2 infoformerly named DB2 or IBM Database 2PouchDBSphinx
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