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DBMS > Geode vs. mSQL vs. OrigoDB vs. Rockset vs. Splice Machine

System Properties Comparison Geode vs. mSQL vs. OrigoDB vs. Rockset vs. Splice Machine

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonRockset  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeRelational DBMSDocument store
Object oriented DBMS
Document storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitegeode.apache.orghughestech.com.au/­products/­msqlorigodb.comrockset.comsplicemachine.com
Technical documentationgeode.apache.org/­docsorigodb.com/­docsdocs.rockset.comsplicemachine.com/­how-it-works
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Hughes TechnologiesRobert Friberg et alRocksetSplice Machine
Initial release200219942009 infounder the name LiveDB20192014
Current release1.1, February 20174.4, October 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree licenses can be providedOpen SourcecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC#C++Java
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsdynamic typingyes
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.nonono infocan be achieved using .NETno infoingestion from XML files supported
Secondary indexesnoyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query language (OQL)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoRead-only SQL queries, including JOINsyes
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
.NET Client API
HTTP API
LINQ
HTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.NetGo
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyesnoyes infoJava
Triggersyes infoCache Event Listenersnoyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedAutomatic shardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights per client and object definablenoRole based authorizationAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users, groups and roles according to SQL-standard

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More resources
GeodemSQL infoMini SQLOrigoDBRocksetSplice Machine
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