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DBMS > MonetDB vs. Newts vs. Quasardb vs. SingleStore vs. Transwarp Hippo

System Properties Comparison MonetDB vs. Newts vs. Quasardb vs. SingleStore vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsTime Series DBMS based on CassandraDistributed, 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 typeCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSVector DBMS
Secondary database modelsDocument 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#135  Overall
#62  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websitewww.monetdb.orgopennms.github.io/­newtsquasar.aiwww.singlestore.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationwww.monetdb.org/­Documentationgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­masterdocs.singlestore.com
DeveloperMonetDB BVOpenNMS GroupquasardbSingleStore Inc.
Initial release20042014200920132023
Current releaseDec2023 (11.49), December 20233.14.1, January 20248.5, January 20241.0, May 2023
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++C++, GoC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux info64 bit version requiredLinux
macOS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesVector, Numeric and String
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
Secondary indexesyesnoyes infowith tagsyesno
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsnoSQL-like query languageyes infobut no triggers and foreign keysno
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
Java API
HTTP APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++
Java
Python
Server-side scripts infoStored proceduresyes, in SQL, C, Rnonoyesno
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesSharding infobased on CassandraSharding infoconsistent hashingSharding infohash partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusselectable replication factor infobased on CassandraSource-replica replication with selectable replication factorSource-replica replication infostores two copies of each physical data partition on two separate nodes
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 systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trailFine grained access control via users, groups and rolesRole based access control and fine grained access rights

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More resources
MonetDBNewtsQuasardbSingleStore infoformer name was MemSQLTranswarp Hippo
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