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DBMS > Apache Kylin vs. Memcached vs. Spark SQL vs. Trafodion

System Properties Comparison Apache Kylin vs. Memcached vs. Spark SQL vs. Trafodion

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonMemcached  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackIn-memory key-value store, originally intended for cachingSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#151  Overall
#73  Relational DBMS
Score24.56
Rank#33  Overall
#4  Key-value stores
Score23.12
Rank#35  Overall
#21  Relational DBMS
Score0.43
Rank#254  Overall
#120  Relational DBMS
Websitekylin.apache.orgwww.memcached.orgspark.apache.org/­sqltrafodion.apache.org
Technical documentationkylin.apache.org/­docsgithub.com/­memcached/­memcached/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org
DeveloperApache Software Foundation, originally contributed from eBay IncDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalApache Software FoundationApache Software Foundation, originally developed by HP
Initial release2015200320142014
Current release3.1.0, July 20201.6.15, March 20223.2.0, October 20212.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD licenseOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCScalaC++, Java
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows		Linux
OS X
Windows		Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API		Proprietary protocolJDBC
ODBC		ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby		Java
Python
R
Scala		All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoJava Stored Procedures
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallitynoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolnofine grained access rights according to SQL-standard

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Apache KylinMemcachedSpark SQLTrafodion
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