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DBMS > MonetDB vs. Postgres-XL vs. Quasardb vs. SingleStore vs. Sphinx

System Properties Comparison MonetDB vs. Postgres-XL vs. Quasardb vs. SingleStore vs. Sphinx

Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuasardb  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, high-performance timeseries databaseMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.monetdb.orgwww.postgres-xl.orgquasar.aiwww.singlestore.comsphinxsearch.com
Technical documentationwww.monetdb.org/­Documentationwww.postgres-xl.org/­documentationdoc.quasar.ai/­masterdocs.singlestore.comsphinxsearch.com/­docs
DeveloperMonetDB BVquasardbSingleStore Inc.Sphinx Technologies Inc.
Initial release20042014 infosince 2012, originally named StormDB200920132001
Current releaseDec2023 (11.49), December 202310 R1, October 20183.14.1, January 20248.5, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoMozilla public licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infofree developer edition availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageCCC++C++, GoC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
BSD
Linux
OS X
Windows
Linux info64 bit version requiredFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes 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.yes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyes infowith tagsyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsyes infodistributed, parallel query executionSQL-like query languageyes infobut no triggers and foreign keysSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Proprietary protocol
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes, in SQL, C, Ruser defined functionsnoyesno
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tableshorizontal partitioningSharding infoconsistent hashingSharding infohash partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replication with selectable replication factorSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailFine grained access control via users, groups and rolesno
More information provided by the system vendor
MonetDBPostgres-XLQuasardbSingleStore infoformer name was MemSQLSphinx
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
MonetDBPostgres-XLQuasardbSingleStore infoformer name was MemSQLSphinx
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