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DBMS > Atos Standard Common Repository vs. Dragonfly vs. Ingres vs. Newts vs. Trafodion

System Properties Comparison Atos Standard Common Repository vs. Dragonfly vs. Ingres vs. Newts vs. Trafodion

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDragonfly  Xexclude from comparisonIngres  Xexclude from comparisonNewts  Xexclude from comparisonTrafodion  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceWell established RDBMSTime Series DBMS based on CassandraTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Key-value store
Key-value storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.actian.com/­databases/­ingresopennms.github.io/­newtstrafodion.apache.org
Technical documentationwww.dragonflydb.io/­docsdocs.actian.com/­ingresgithub.com/­OpenNMS/­newts/­wikitrafodion.apache.org/­documentation.html
DeveloperAtos Convergence CreatorsDragonflyDB team and community contributorsActian CorporationOpenNMS GroupApache Software Foundation, originally developed by HP
Initial release201620231974 infooriginally developed at University Berkely in early 1970s20142014
Current release17031.0, March 202311.2, May 20222.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1commercialOpen Source infoApache 2.0Open Source infoApache 2.0
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++CJavaC++, Java
Server operating systemsLinuxLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsscheme-freeyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalstrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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.yesnono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLnonoyesnoyes
APIs and other access methodsLDAPProprietary protocol infoRESP - REdis Serialization Protocol.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP REST
Java API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
JavaAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoLuayesnoJava Stored Procedures
Triggersyespublish/subscribe channels provide some trigger functionalityyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationIngres Replicatorselectable replication factor infobased on Cassandrayes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic execution of command blocks and scriptsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonono
User concepts infoAccess controlLDAP bind authenticationPassword-based authenticationfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryDragonflyIngresNewtsTrafodion
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