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DBMS > Geode vs. Lovefield vs. mSQL vs. OrigoDB vs. Spark SQL

System Properties Comparison Geode vs. Lovefield vs. mSQL vs. OrigoDB vs. Spark SQL

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonLovefield  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesEmbeddable relational database for web apps written in pure JavaScriptmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegeode.apache.orggoogle.github.io/­lovefieldhughestech.com.au/­products/­msqlorigodb.comspark.apache.org/­sql
Technical documentationgeode.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleHughes TechnologiesRobert Friberg et alApache Software Foundation
Initial release2002201419942009 infounder the name LiveDB2014
Current release1.1, February 20172.1.12, February 20174.4, October 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0commercial infofree licenses can be providedOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptCC#Scala
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like query language infovia JavaScript builder patternA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like DML and DDL statements
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
JavaScriptC
C++
Delphi
Java
Perl
PHP
Tcl
.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoyesno
Triggersyes infoCache Event ListenersUsing read-only observersnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencynone
Foreign keys infoReferential integritynoyesnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBnoyesno
User concepts infoAccess controlAccess rights per client and object definablenonoRole based authorizationno

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More resources
GeodeLovefieldmSQL infoMini SQLOrigoDBSpark SQL
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