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DBMS > LeanXcale vs. MonetDB vs. MySQL

System Properties Comparison LeanXcale vs. MonetDB vs. MySQL

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonMonetDB  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA relational database management system that stores data in columnsWidely used open source RDBMS
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#283  Overall
#42  Key-value stores
#131  Relational DBMS
Score1.91
Rank#125  Overall
#60  Relational DBMS
Score1206.04
Rank#2  Overall
#2  Relational DBMS
Websitewww.leanxcale.comwww.monetdb.orgwww.mysql.com
Technical documentationwww.monetdb.org/­Documentationdev.mysql.com/­doc
DeveloperLeanXcaleMonetDB BVOracle infosince 2010, originally MySQL AB, then Sun
Initial release201520041995
Current releaseOct2020-SP2, January 20218.0.27, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLyes infothrough Apache Derbyyes infoSQL 2003 with some extensionsyes infowith proprietary extensions
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
Java
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes, in SQL, C, Ryes infoproprietary syntax
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tableshorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
LeanXcaleMonetDBMySQL
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
Column-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Analytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Numascale , Spinque , SecurActive , CHS , NOZHUP
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more
Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
LeanXcaleMonetDBMySQL
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