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DBMS > GridGain vs. IBM Cloudant vs. Quasardb vs. Riak KV

System Properties Comparison GridGain vs. IBM Cloudant vs. Quasardb vs. Riak KV

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteDatabase as a Service offering based on Apache CouchDBDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value store
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Document storeTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score2.85
Rank#95  Overall
#18  Document stores
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Websitewww.gridgain.comwww.ibm.com/­products/­cloudantquasar.ai
Technical documentationwww.gridgain.com/­docs/­index.htmlcloud.ibm.com/­docs/­Cloudantdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGridGain Systems, Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014quasardbOpenSource, formerly Basho Technologies
Initial release2007201020092009
Current releaseGridGain 8.5.13.14.1, January 20243.2.0, December 2022
License infoCommercial or Open Sourcecommercial, open sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLErlangC++Erlang
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
hostedBSD
Linux
OS X
Windows
Linux
OS X
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes infointeger and binaryno
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.yesnonono
Secondary indexesyesyesyes infowith tagsrestricted
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query languageno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP/JSON APIHTTP APIHTTP API
Native Erlang Interface
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)View functions (Map-Reduce) in JavaScriptnoErlang
Triggersyes (cache interceptors and events)yesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication
Source-replica replication with selectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yeswith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Access rights for users can be defined per databaseCryptographically strong user authentication and audit trailyes, using Riak Security

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More resources
GridGainIBM CloudantQuasardbRiak KV
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