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DBMS > GBase vs. MonetDB vs. Sphinx vs. Splice Machine

System Properties Comparison GBase vs. MonetDB vs. Sphinx vs. Splice Machine

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonMonetDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn analytical database for business intelligence with large customers in China.A relational database management system that stores data in columnsOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#190  Overall
#88  Relational DBMS
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitewww.gbase.cnwww.monetdb.orgsphinxsearch.comsplicemachine.com
Technical documentationwww.monetdb.org/­Documentationsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperMonetDB BVSphinx Technologies Inc.Splice Machine
Initial release200420012014
Current releaseGBase 8aDec2023 (11.49), December 20233.5.1, February 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++Java
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesnoyes
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes, in SQL, C, Rnoyes infoJava
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standard

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More resources
GBaseMonetDBSphinxSplice Machine
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