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DBMS > Atos Standard Common Repository vs. DolphinDB vs. Graph Engine

System Properties Comparison Atos Standard Common Repository vs. DolphinDB vs. Graph Engine

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDolphinDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelDocument store
Key-value store
Time Series DBMSGraph DBMS
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#92  Overall
#6  Time Series DBMS
Score0.78
Rank#254  Overall
#20  Graph DBMS
#37  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.dolphindb.comwww.graphengine.io
Technical documentationwww.dolphindb.com/­helpwww.graphengine.io/­docs/­manual
DeveloperAtos Convergence CreatorsDolphinDB, IncMicrosoft
Initial release201620182010
Current release1703v2.00.4, January 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++.NET and C
Server operating systemsLinuxLinux
Windows
.NET
Data schemeSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateoptionalyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsLDAPJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresnoyesyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
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 authenticationAdministrators, Users, Groups

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More resources
Atos Standard Common RepositoryDolphinDBGraph Engine infoformer name: Trinity
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