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DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. Citus vs. Kyligence Enterprise

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. Citus vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCitus  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Websiteaws.amazon.com/­neptuneatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.citusdata.comkyligence.io/­kyligence-enterprise
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.citusdata.com
DeveloperAmazonAtos Convergence CreatorsKyligence, Inc.
Initial release2017201620102016
Current release17038.1, December 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL, commercial license also availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava
Server operating systemshostedLinuxLinuxLinux
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesyes infospecific XML type available, but no XML query functionalityno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyes infostandard, with numerous extensionsANSI SQL for queries (using Apache Calcite)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
LDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneAtos Standard Common RepositoryCitusKyligence Enterprise
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