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DBMS > Apache Kylin vs. Atos Standard Common Repository vs. IBM Db2 warehouse vs. Transwarp Hippo

System Properties Comparison Apache Kylin vs. Atos Standard Common Repository vs. IBM Db2 warehouse vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonTranswarp Hippo  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 networksCloud-based data warehousing serviceCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.05
Rank#386  Overall
#16  Vector DBMS
Websitekylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ibm.com/­products/­db2/­warehousewww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationkylin.apache.org/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncAtos Convergence CreatorsIBM
Initial release2015201620142023
Current release3.1.0, July 202017031.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinuxLinuxhostedLinux
macOS
Data schemeyesSchema and schema-less with LDAP viewsyes
Typing infopredefined data types such as float or dateyesoptionalyesVector, Numeric and String
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.noyesno infoImport/export of XML data possibleno
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAP.NET Client API
JDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
Python
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDno
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.noyesyesyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardRole based access control and fine grained access rights

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More resources
Apache KylinAtos Standard Common RepositoryIBM Db2 warehouse infoformerly named IBM dashDBTranswarp Hippo
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