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DBMS > Atos Standard Common Repository vs. DolphinDB vs. GigaSpaces vs. Prometheus vs. Valentina Server

System Properties Comparison Atos Standard Common Repository vs. DolphinDB vs. GigaSpaces vs. Prometheus vs. Valentina Server

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDolphinDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPrometheus  Xexclude from comparisonValentina Server  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsOpen-source Time Series DBMS and monitoring systemObject-relational database and reports server
Primary database modelDocument store
Key-value store
Time Series DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.dolphindb.comwww.gigaspaces.comprometheus.iowww.valentina-db.net
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.gigaspaces.com/­latest/­landing.htmlprometheus.io/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAtos Convergence CreatorsDolphinDB, IncGigaspaces TechnologiesParadigma Software
Initial release20162018200020151999
Current release1703v2.00.4, January 202215.5, September 20205.7.5
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercial
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++Java, C++, .NetGo
Server operating systemsLinuxLinux
Windows
Linux
macOS
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyesyesNumeric data onlyyes
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 infoXML can be used for describing objects metadatano infoImport of XML data possible
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoSQL-like query languageSQL-99 for query and DML statementsnoyes
APIs and other access methodsLDAPJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP/JSON APIODBC
Supported programming languagesAll languages with LDAP bindingsC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C++
Java
Python
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesyesnoyes
Triggersyesnoyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYnone
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesyesnoyes
User concepts infoAccess controlLDAP bind authenticationAdministrators, Users, GroupsRole-based access controlnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryDolphinDBGigaSpacesPrometheusValentina Server
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