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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDolphinDB  Xexclude from comparisonetcd  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 reliable key-value storeA 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 DBMSKey-value storeGraph DBMS
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.dolphindb.cometcd.io
github.com/­etcd-io/­etcd
www.graphengine.io
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.graphengine.io/­docs/­manual
DeveloperAtos Convergence CreatorsDolphinDB, IncMicrosoft
Initial release201620182010
Current release1703v2.00.4, January 20223.4, August 2019
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoApache Version 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Go.NET and C
Server operating systemsLinuxLinux
Windows
FreeBSD
Linux
Windows infoexperimental
.NET
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesnoyes
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.yesnonono
Secondary indexesyesyesno
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsLDAPJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC
JSON over HTTP
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresnoyesnoyes
Triggersyesnoyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: 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.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationAdministrators, Users, Groupsno

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More resources
Atos Standard Common RepositoryDolphinDBetcdGraph Engine infoformer name: Trinity
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