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DBMS > CouchDB vs. Hyprcubd vs. Oracle Rdb vs. Sphinx vs. Splice Machine

System Properties Comparison CouchDB vs. Hyprcubd vs. Oracle Rdb vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHyprcubd  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Serverless Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeTime Series DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitecouchdb.apache.orghyprcubd.com (offline)www.oracle.com/­database/­technologies/­related/­rdb.htmlsphinxsearch.comsplicemachine.com
Technical documentationdocs.couchdb.org/­en/­stablewww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerHyprcubd, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)Sphinx Technologies Inc.Splice Machine
Initial release2005198420012014
Current release3.3.3, December 20237.4.1.1, 20213.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangGoC++Java
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedHP Open VMSFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or datenoyes infotime, int, uint, float, stringyesnoyes
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.nonono
Secondary indexesyes infovia viewsnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like query language (SphinxQL)yes
APIs and other access methodsRESTful HTTP/JSON APIgRPC (https)Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresView functions in JavaScriptnonoyes infoJava
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Sharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenoyes, on a single nodenoACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingnoyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess rights for users can be defined per databasetoken accessnoAccess rights for users, groups and roles according to SQL-standard

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"HyprcubdOracle RdbSphinxSplice Machine
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