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DBMS > Apache Kylin vs. Quasardb vs. Riak KV

System Properties Comparison Apache Kylin vs. Quasardb vs. Riak KV

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value store
Primary database modelRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.26
Rank#154  Overall
#73  Relational DBMS
Score0.07
Rank#329  Overall
#29  Time Series DBMS
Score6.31
Rank#67  Overall
#10  Key-value stores
Websitekylin.apache.orgquasardb.netriak.com/­products/­riak-kv
Technical documentationkylin.apache.org/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundation, originally contributed from eBay IncquasardbBasho Technologies
Initial release201520092009
Current release3.1.0, July 20203.13.3, April 20222.1.0, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Erlang
Server operating systemsLinuxBSD
Linux
OS X
Windows
Linux
OS X
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binaryno
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 indexesyesyes infowith tagsrestricted
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP APIHTTP API
Native Erlang Interface
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoJavaScript and Erlang
Triggersnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlCryptographically strong user authentication and audit trailno

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More resources
Apache KylinQuasardbRiak KV
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