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DBMS > Apache Kylin vs. Atos Standard Common Repository vs. Citus vs. GigaSpaces

System Properties Comparison Apache Kylin vs. Atos Standard Common Repository vs. Citus vs. GigaSpaces

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCitus  Xexclude from comparisonGigaSpaces  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA 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 networksScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsDocument storeGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Websitekylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.citusdata.comwww.gigaspaces.com
Technical documentationkylin.apache.org/­docsdocs.citusdata.comdocs.gigaspaces.com/­latest/­landing.html
DeveloperApache Software Foundation, originally contributed from eBay IncAtos Convergence CreatorsGigaspaces Technologies
Initial release2015201620102000
Current release3.1.0, July 202017038.1, December 201815.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; Commercial licenses available
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.
Implementation languageJavaJavaCJava, C++, .Net
Server operating systemsLinuxLinuxLinuxLinux
macOS
Solaris
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesschema-free
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 infoXML can be used for describing objects metadata
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyes infostandard, with numerous extensionsSQL-99 for query and DML statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersyesyesyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID
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.noyesnoyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardRole-based access control

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More resources
Apache KylinAtos Standard Common RepositoryCitusGigaSpaces
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