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DBMS > Apache Doris vs. Apache Kylin vs. Google BigQuery vs. Linter

System Properties Comparison Apache Doris vs. Apache Kylin vs. Google BigQuery vs. Linter

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Kylin  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackLarge scale data warehouse service with append-only tablesRDBMS for high security requirements
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#217  Overall
#100  Relational DBMS
Score1.26
Rank#175  Overall
#81  Relational DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score0.15
Rank#339  Overall
#147  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
kylin.apache.orgcloud.google.com/­bigquerylinter.ru
Technical documentationgithub.com/­apache/­doris/­wikikylin.apache.org/­docscloud.google.com/­bigquery/­docs
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation, originally contributed from eBay IncGooglerelex.ru
Initial release2017201520101990
Current release1.2.2, February 20233.1.0, July 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++
Server operating systemsLinuxLinuxhostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyesANSI SQL for queries (using Apache Calcite)yesyes
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesJava.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScriptyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Apache DorisApache KylinGoogle BigQueryLinter
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