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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonDgraph  Xexclude from comparisonInfinityDB  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 DBMSA Java embedded Key-Value Store which extends the Java Map interfaceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelDocument store
Key-value store
Document storeGraph DBMSKey-value storeTime Series 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
Score0.07
Rank#359  Overall
#54  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comdgraph.ioboilerbay.comwww.circonus.com/solutions/time-series-database/
Technical documentationbigchaindb.readthedocs.io/­en/­latestdgraph.io/­docsboilerbay.com/­infinitydb/­manualdocs.circonus.com/irondb/category/getting-started
DeveloperAtos Convergence CreatorsDgraph Labs, Inc.Boiler Bay Inc.Circonus LLC.
Initial release20162016201620022017
Current release17034.0V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonGoJavaC and C++
Server operating systemsLinuxLinuxLinux
OS X
Windows
All OS with a Java VMLinux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateoptionalnoyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes 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 indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLnonononoSQL-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
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.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 proceduresnononoyes, in Lua
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingyesnoneAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSynchronous replication via Raftnoneconfigurable replication factor, datacenter aware
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 infoREAD-COMMITTED or SERIALIZEDImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynononono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsno
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 releasesnono

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More resources
Atos Standard Common RepositoryBigchainDBDgraphInfinityDBIRONdb
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