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DBMS > MonetDB vs. Sphinx vs. Splice Machine vs. SQream DB

System Properties Comparison MonetDB vs. Sphinx vs. Splice Machine vs. SQream DB

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionA 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 Sparka GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websitewww.monetdb.orgsphinxsearch.comsplicemachine.comsqream.com
Technical documentationwww.monetdb.org/­Documentationsphinxsearch.com/­docssplicemachine.com/­how-it-worksdocs.sqream.com
DeveloperMonetDB BVSphinx Technologies Inc.Splice MachineSQream Technologies
Initial release2004200120142017
Current releaseDec2023 (11.49), December 20233.5.1, February 20233.1, March 20212022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++JavaC++, CUDA, Haskell, Java, Scala
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyes, ANSI Standard SQL Types
Secondary indexesyesyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsSQL-like query language (SphinxQL)yesyes
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary protocolJDBC
Native Spark Datasource
ODBC
.Net
JDBC
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
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes, in SQL, C, Rnoyes infoJavauser defined functions in Python
Triggersyesnoyesno
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 Partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
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
MonetDBSphinxSplice MachineSQream DB
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