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DBMS > AgensGraph vs. Apache Kylin vs. Atos Standard Common Repository

System Properties Comparison AgensGraph vs. Apache Kylin vs. Atos Standard Common Repository

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Kylin  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networks
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score1.20
Rank#175  Overall
#80  Relational DBMS
Websitebitnine.net/­agensgraphkylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repository
Technical documentationbitnine.net/­documentationkylin.apache.org/­docs
DeveloperBitnine Global Inc.Apache Software Foundation, originally contributed from eBay IncAtos Convergence Creators
Initial release201620152016
Current release2.1, December 20183.1.0, July 20201703
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJava
Server operating systemsLinux
OS X
Windows
LinuxLinux
Data schemedepending on used data modelyesSchema and schema-less with LDAP views
Typing infopredefined data types such as float or dateyesyesoptional
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
RESTful HTTP API
LDAP
Supported programming languagesC
Java
JavaScript
Python
All languages with LDAP bindings
Server-side scripts infoStored proceduresyesno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infocell division
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operations
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authentication

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More resources
AgensGraphApache KylinAtos Standard Common Repository
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