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DBMS > Atos Standard Common Repository vs. Hive vs. Neo4j vs. Newts

System Properties Comparison Atos Standard Common Repository vs. Hive vs. Neo4j vs. Newts

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHive  Xexclude from comparisonNeo4j  Xexclude from comparisonNewts  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 networksdata warehouse software for querying and managing large distributed datasets, built on HadoopScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsTime Series DBMS based on Cassandra
Primary database modelDocument store
Key-value store
Relational DBMSGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score44.36
Rank#23  Overall
#1  Graph DBMS
Score0.04
Rank#383  Overall
#42  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhive.apache.orgneo4j.comopennms.github.io/­newts
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeneo4j.com/­docsgithub.com/­OpenNMS/­newts/­wiki
DeveloperAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookNeo4j, Inc.OpenNMS Group
Initial release2016201220072014
Current release17033.1.3, April 20225.18.1, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGPL version3, commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJavaJavaJava, ScalaJava
Server operating systemsLinuxAll OS with a Java VMLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyes
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 Luceneno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnono
APIs and other access methodsLDAPJDBC
ODBC
Thrift
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP REST
Java API
Supported programming languagesAll languages with LDAP bindingsC++
Java
PHP
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes infoUser defined Procedures and Functionsno
Triggersyesnoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingyes using Neo4j FabricSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 authenticationAccess rights for users, groups and rolesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)no
More information provided by the system vendor
Atos Standard Common RepositoryHiveNeo4jNewts
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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