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DBMS > Atos Standard Common Repository vs. DolphinDB vs. SurrealDB

System Properties Comparison Atos Standard Common Repository vs. DolphinDB vs. SurrealDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDolphinDB  Xexclude from comparisonSurrealDB  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 fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Key-value store
Time Series DBMSDocument store
Graph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score0.91
Rank#204  Overall
#33  Document stores
#18  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.dolphindb.comsurrealdb.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlsurrealdb.com/­docs
DeveloperAtos Convergence CreatorsDolphinDB, IncSurrealDB Ltd
Initial release201620182022
Current release1703v2.00.4, January 2022v1.1.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source
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++Rust
Server operating systemsLinuxLinux
Windows
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-free
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language
APIs and other access methodsLDAPJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesAll languages with LDAP bindingsC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
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 Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlLDAP bind authenticationAdministrators, Users, Groupsyes, based on authentication and database rules

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More resources
Atos Standard Common RepositoryDolphinDBSurrealDB
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