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DBMS > Atos Standard Common Repository vs. Drizzle vs. Percona Server for MongoDB vs. Postgres-XL vs. XTDB

System Properties Comparison Atos Standard Common Repository vs. Drizzle vs. Percona Server for MongoDB vs. Postgres-XL vs. XTDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonXTDB infoformerly named Crux  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.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#246  Overall
#39  Document stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.postgres-xl.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.percona.com/­percona-distribution-for-mongodbwww.postgres-xl.org/­documentationwww.xtdb.com/­docs
DeveloperAtos Convergence CreatorsDrizzle project, originally started by Brian AkerPerconaJuxt Ltd.
Initial release2016200820152014 infosince 2012, originally named StormDB2019
Current release17037.2.4, September 20123.4.10-2.10, November 201710 R1, October 20181.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoGPL Version 2Open Source infoMozilla public licenseOpen Source infoMIT License
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.
Implementation languageJavaC++C++CClojure
Server operating systemsLinuxFreeBSD
Linux
OS X
LinuxLinux
macOS
All OS with a Java 8 (and higher) VM
Linux
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesyes, extensible-data-notation format
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.yesnoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoyes infodistributed, parallel query executionlimited SQL, making use of Apache Calcite
APIs and other access methodsLDAPJDBCproprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
JDBC
Supported programming languagesAll languages with LDAP bindingsC
C++
Java
PHP
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Clojure
Java
Server-side scripts infoStored proceduresnonoJavaScriptuser defined functionsno
Triggersyesno infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engineno
User concepts infoAccess controlLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryDrizzlePercona Server for MongoDBPostgres-XLXTDB infoformerly named Crux
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