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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Dgraph vs. IRONdb vs. Microsoft Azure Table Storage

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Dgraph vs. IRONdb vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonDgraph  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Table Storage  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 DBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument store
Key-value store
Document storeGraph DBMSTime Series DBMSWide column store
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
Score4.92
Rank#73  Overall
#6  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comdgraph.iowww.circonus.com/solutions/time-series-database/azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationbigchaindb.readthedocs.io/­en/­latestdgraph.io/­docsdocs.circonus.com/irondb/category/getting-started
DeveloperAtos Convergence CreatorsDgraph Labs, Inc.Circonus LLC.Microsoft
Initial release20162016201620172012
Current release1703V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonGoC and C++
Server operating systemsLinuxLinuxLinux
OS X
Windows
Linuxhosted
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalnoyesyes infotext, numeric, histogramsyes
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 indexesyesyesnono
SQL infoSupport of SQLnononoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
HTTP APIRESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes, in Luano
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingyesAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSynchronous replication via Raftconfigurable replication factor, datacenter awareyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnooptimistic locking
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.yesnono
User concepts infoAccess controlLDAP bind authenticationyesno infoPlanned for future releasesnoAccess rights based on private key authentication or shared access signatures

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More resources
Atos Standard Common RepositoryBigchainDBDgraphIRONdbMicrosoft Azure Table Storage
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