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DBMS > Amazon Redshift vs. Apache Kylin vs. Atos Standard Common Repository

System Properties Comparison Amazon Redshift vs. Apache Kylin vs. Atos Standard Common Repository

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Editorial information provided by DB-Engines
NameAmazon Redshift  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.
DescriptionLarge scale data warehouse service for use with business intelligence toolsA 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 modelRelational DBMSRelational DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score1.26
Rank#175  Overall
#81  Relational DBMS
Websiteaws.amazon.com/­redshiftkylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repository
Technical documentationdocs.aws.amazon.com/­redshiftkylin.apache.org/­docs
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation, originally contributed from eBay IncAtos Convergence Creators
Initial release201220152016
Current release3.1.0, July 20201703
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJava
Server operating systemshostedLinuxLinux
Data schemeyesyesSchema 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 indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
LDAP
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindings
Server-side scripts infoStored proceduresuser defined functions infoin Pythonno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell division
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
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 integrityyes infoinformational only, not enforced by the systemno
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authentication

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More resources
Amazon RedshiftApache KylinAtos Standard Common Repository
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