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DBMS > Drizzle vs. IBM Db2 warehouse vs. Percona Server for MySQL vs. Splice Machine

System Properties Comparison Drizzle vs. IBM Db2 warehouse vs. Percona Server for MySQL vs. Splice Machine

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSplice Machine  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud-based data warehousing serviceEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score2.03
Rank#122  Overall
#57  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.ibm.com/­products/­db2/­warehousewww.percona.com/­software/­mysql-database/­percona-serversplicemachine.com
Technical documentationwww.percona.com/­downloads/­Percona-Server-LATESTsplicemachine.com/­how-it-works
DeveloperDrizzle project, originally started by Brian AkerIBMPerconaSplice Machine
Initial release2008201420082014
Current release7.2.4, September 20128.0.36-28, 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoGPL version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++Java
Server operating systemsFreeBSD
Linux
OS X
hostedLinuxLinux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no infoImport/export of XML data possibleyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesyesyes
APIs and other access methodsJDBC.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Java
PHP
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLyesyes infoJava
Triggersno infohooks for callbacks inside the server can be used.yesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replication
Source-replica replication
XtraDB Cluster
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
DrizzleIBM Db2 warehouse infoformerly named IBM dashDBPercona Server for MySQLSplice Machine
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