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DBMS > Atos Standard Common Repository vs. Drizzle vs. Percona Server for MySQL vs. Splice Machine

System Properties Comparison Atos Standard Common Repository vs. Drizzle vs. Percona Server for MySQL vs. Splice Machine

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSplice Machine  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enhanced 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 modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.03
Rank#122  Overall
#57  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.percona.com/­software/­mysql-database/­percona-serversplicemachine.com
Technical documentationwww.percona.com/­downloads/­Percona-Server-LATESTsplicemachine.com/­how-it-works
DeveloperAtos Convergence CreatorsDrizzle project, originally started by Brian AkerPerconaSplice Machine
Initial release2016200820082014
Current release17037.2.4, September 20128.0.36-28, 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoGPL version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++Java
Server operating systemsLinuxFreeBSD
Linux
OS X
LinuxLinux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesyes
APIs and other access methodsLDAPJDBCADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages with LDAP bindingsC
C++
Java
PHP
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 proceduresnonoyesyes infoJava
Triggersyesno infohooks for callbacks inside the server can be used.yesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
XtraDB Cluster
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID
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 controlLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers 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
Atos Standard Common RepositoryDrizzlePercona Server for MySQLSplice Machine
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