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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonDgraph  Xexclude from comparisonIgnite  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 DBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A 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 store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comdgraph.ioignite.apache.orgwww.circonus.com/solutions/time-series-database/
Technical documentationbigchaindb.readthedocs.io/­en/­latestdgraph.io/­docsapacheignite.readme.io/­docsdocs.circonus.com/irondb/category/getting-started
DeveloperAtos Convergence CreatorsDgraph Labs, Inc.Apache Software FoundationCirconus LLC.
Initial release20162016201620152017
Current release1703Apache Ignite 2.6V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache 2.0Open 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 languageJavaPythonGoC++, Java, .NetC and C++
Server operating systemsLinuxLinuxLinux
OS X
Windows
Linux
OS X
Solaris
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.yesnonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnononoANSI-99 for query and DML statements, subset of DDLSQL-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
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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++
Java
PHP
Python
Ruby
Scala
.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 proceduresnonoyes (compute grid and cache interceptors can be used instead)yes, in Lua
Triggersyesnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingyesShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSynchronous replication via Raftyes (replicated cache)configurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
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 operationsACIDACIDno
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 releasesSecurity Hooks for custom implementationsno

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More resources
Atos Standard Common RepositoryBigchainDBDgraphIgniteIRONdb
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