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DBMS > Apache Kylin vs. Coveo vs. Quasardb vs. Riak KV

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

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonCoveo  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 stackAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value store
Primary database modelRelational DBMSSearch engineTime 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
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score2.28
Rank#114  Overall
#11  Search engines
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitekylin.apache.orgwww.coveo.comquasar.ai
Technical documentationkylin.apache.org/­docsdocs.coveo.comdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation, originally contributed from eBay IncCoveoquasardbOpenSource, formerly Basho Technologies
Initial release2015201220092009
Current release3.1.0, July 20203.14.1, January 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial 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 servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Erlang
Server operating systemsLinuxhostedBSD
Linux
OS X
Windows
Linux
OS X
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.nononono
Secondary indexesyesyesyes infowith tagsrestricted
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP APIHTTP API
Native Erlang Interface
Supported programming languagesC#
Java
JavaScript
Python
.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 proceduresnonoErlang
Triggersyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoconsistent hashingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with selectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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 controlgranular access controls, API key management, content filtersCryptographically strong user authentication and audit trailyes, using Riak Security

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More resources
Apache KylinCoveoQuasardbRiak KV
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