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DBMS > Geode vs. Quasardb vs. Realm vs. Riak KV

System Properties Comparison Geode vs. Quasardb vs. Realm vs. Riak KV

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonQuasardb  Xexclude from comparisonRealm  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesDistributed, high-performance timeseries databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataDistributed, fault tolerant key-value store
Primary database modelKey-value storeTime Series DBMSDocument storeKey-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
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitegeode.apache.orgquasar.airealm.io
Technical documentationgeode.apache.org/­docsdoc.quasar.ai/­masterrealm.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.quasardbRealm, acquired by MongoDB in May 2019OpenSource, formerly Basho Technologies
Initial release2002200920142009
Current release1.1, February 20173.14.1, January 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen SourceOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Erlang
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredBSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesno
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 indexesnoyes infowith tagsyesrestricted
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like query languagenono
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
HTTP APIHTTP API
Native Erlang Interface
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
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 proceduresuser defined functionsnono inforuns within the applications so server-side scripts are unnecessaryErlang
Triggersyes infoCache Event Listenersnoyes infoChange Listenersyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingnoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication with selectable replication factornoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate 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 datayes, on a single nodeACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes infoIn-Memory realm
User concepts infoAccess controlAccess rights per client and object definableCryptographically strong user authentication and audit trailyesyes, using Riak Security

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