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DBMS > Apache Kylin vs. Hypertable

System Properties Comparison Apache Kylin vs. Hypertable

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is 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 stackAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#151  Overall
#74  Relational DBMS
Websitekylin.apache.org
Technical documentationkylin.apache.org/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncHypertable Inc.
Initial release20152009
Current release3.1.0, July 20200.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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.no
Secondary indexesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Thrift
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlno

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More resources
Apache KylinHypertable
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