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DBMS > Atos Standard Common Repository vs. GRAKN.AI vs. Neo4j

System Properties Comparison Atos Standard Common Repository vs. GRAKN.AI vs. Neo4j

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonNeo4j  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 networksGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Open source graph database
Primary database modelDocument store
Key-value store
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score50.56
Rank#22  Overall
#1  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygrakn.aineo4j.com
Technical documentationdev.grakn.ai/­docsneo4j.com/­docs
DeveloperAtos Convergence CreatorsGrakn Labs LtdNeo4j, Inc.
Initial release201620162007
Current release17031.6.1, December 20193.5.8, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoGPL version3, commercial licenses available
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.
Neo4j Aura: The simplest way to run Neo4j in the cloud
Implementation languageJavaJavaJava, Scala
Server operating systemsLinuxLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-free and schema-optional
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 indexesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnonono
APIs and other access methodsLDAPconsole (shell)
gRPC protocol
Workbase (visualisation software)
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesAll languages with LDAP bindingsAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes infoUser defined Procedures and Functions
Triggersyesnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoby using Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replication infoby using CassandraCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynono infosubstituted by the relationship featureyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID
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.yesno
User concepts infoAccess controlLDAP bind authenticationyes infoat REST API level; other APIs in progressUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Atos Standard Common RepositoryGRAKN.AINeo4j
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

Graphing Space and Time
4 December 2019

This Week in Neo4j – Building a Fashion Knowledge Graph, Carrefour Basket Dataset Challenge, Community detection on Game of Thrones, Analysing Network Traffic
30 November 2019

#GraphCast: “All Graph Databases Are Not Created Equal”
29 November 2019

Graph Theory Takes on the Opioid Epidemic
27 November 2019

Responsible AI: The Critical Need for Context (and Practical Tips)
26 November 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
Atos Standard Common RepositoryGRAKN.AINeo4j
DB-Engines blog posts

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Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

GraphConnect 2020
New York, USA, 20-22 April 2020

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