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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Dgraph vs. DolphinDB vs. IRONdb

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Dgraph vs. DolphinDB vs. IRONdb

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonDgraph  Xexclude from comparisonDolphinDB  Xexclude from comparisonIRONdb  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDistributed and scalable native Graph DBMSDolphinDB 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 Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelDocument store
Key-value store
Document storeGraph DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comdgraph.iowww.dolphindb.comwww.circonus.com/solutions/time-series-database/
Technical documentationbigchaindb.readthedocs.io/­en/­latestdgraph.io/­docsdocs.dolphindb.cn/­en/­help200/­index.htmldocs.circonus.com/irondb/category/getting-started
DeveloperAtos Convergence CreatorsDgraph Labs, Inc.DolphinDB, IncCirconus LLC.
Initial release20162016201620182017
Current release1703v2.00.4, January 2022V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache 2.0commercial infofree community version availablecommercial
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 languageJavaPythonGoC++C and C++
Server operating systemsLinuxLinuxLinux
OS X
Windows
Linux
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalnoyesyesyes infotext, numeric, histograms
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.yesnononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnononoSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP API
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnonoyesyes, in Lua
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingyeshorizontal partitioningAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSynchronous replication via Raftyesconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlLDAP bind authenticationyesno infoPlanned for future releasesAdministrators, Users, Groupsno

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More resources
Atos Standard Common RepositoryBigchainDBDgraphDolphinDBIRONdb
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