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DBMS > IBM Cloudant vs. JaguarDB vs. openGauss vs. Riak TS vs. Splice Machine

System Properties Comparison IBM Cloudant vs. JaguarDB vs. openGauss vs. Riak TS vs. Splice Machine

Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonJaguarDB  Xexclude from comparisonopenGauss  Xexclude from comparisonRiak TS  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBPerformant, highly scalable DBMS for AI and IoT applicationsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeKey-value store
Vector DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#15  Vector DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.ibm.com/­products/­cloudantwww.jaguardb.comgitee.com/­opengauss
opengauss.org
splicemachine.com
Technical documentationcloud.ibm.com/­docs/­Cloudantwww.jaguardb.com/­support.htmldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.tiot.jp/­riak-docs/­riak/­ts/­latestsplicemachine.com/­how-it-works
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014DataJaguar, Inc.Huawei and openGauss communityOpen Source, formerly Basho TechnologiesSplice Machine
Initial release20102015201920152014
Current release3.3 July 20233.0, March 20223.0.0, September 20223.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open SourceOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++ infothe server part. Clients available in other languagesC, C++, JavaErlangJava
Server operating systemshostedLinuxLinuxLinux
OS X
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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.nononono
Secondary indexesyesyesyesrestrictedyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersANSI SQL 2011yes, limitedyes
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
JDBC
ODBC
HTTP API
Native Erlang Interface
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Java
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptnoyesErlangyes infoJava
Triggersyesnoyesyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash)ShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyesyes, multi-version concurrency control (MVCC)
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.nononoyes
User concepts infoAccess controlAccess rights for users can be defined per databaserights management via user accountsAccess rights for users, groups and roles according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standard

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More resources
IBM CloudantJaguarDBopenGaussRiak TSSplice Machine
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