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DBMS > CouchDB vs. RavenDB vs. Splice Machine vs. SQream DB vs. SWC-DB

System Properties Comparison CouchDB vs. RavenDB vs. Splice Machine vs. SQream DB vs. SWC-DB

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonRavenDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQream DB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Sparka GPU-based, columnar RDBMS for big data analytics workloadsA high performance, scalable Wide Column DBMS
Primary database modelDocument storeDocument storeRelational DBMSRelational DBMSWide column store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionGraph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score2.84
Rank#101  Overall
#18  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitecouchdb.apache.orgravendb.netsplicemachine.comsqream.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.couchdb.org/­en/­stableravendb.net/­docssplicemachine.com/­how-it-worksdocs.sqream.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerHibernating RhinosSplice MachineSQream TechnologiesAlex Kashirin
Initial release20052010201420172020
Current release3.3.3, December 20235.4, July 20223.1, March 20212022.1.6, December 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoAGPL version 3, commercial license availableOpen Source infoAGPL 3.0, commercial license availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC#JavaC++, CUDA, Haskell, Java, ScalaC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenonoyesyes, ANSI Standard SQL Types
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 indexesyes infovia viewsyesyesno
SQL infoSupport of SQLnoSQL-like query language (RQL)yesyesSQL-like query language
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
.Net
JDBC
ODBC
Proprietary protocol
Thrift
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresView functions in JavaScriptyesyes infoJavauser defined functions in Pythonno
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACID, Cluster-wide transaction availableACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseAuthorization levels configured per client per databaseAccess rights for users, groups and roles according to SQL-standard

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"RavenDBSplice MachineSQream DBSWC-DB infoSuper Wide Column Database
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