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DBMS > Apache Kylin vs. Databricks vs. MariaDB vs. Trafodion

System Properties Comparison Apache Kylin vs. Databricks vs. MariaDB vs. Trafodion

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDatabricks  Xexclude from comparisonMariaDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded 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 stackThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.MySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.Transactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score83.44
Rank#15  Overall
#10  Relational DBMS
Websitekylin.apache.orgwww.databricks.commariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
trafodion.apache.org
Technical documentationkylin.apache.org/­docsdocs.databricks.commariadb.com/­kb/­en/­librarytrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation, originally contributed from eBay IncDatabricksMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Apache Software Foundation, originally developed by HP
Initial release201520132009 infoFork of MySQL, which was first released in 19952014
Current release3.1.0, July 202011.5.2, August 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant.
Implementation languageJavaC and C++C++, Java
Server operating systemsLinuxhostedFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes infoDynamic columns are supportedyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)with Databricks SQLyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
Supported programming languagesPython
R
Scala
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoPL/SQL compatibility added with version 10.3Java Stored Procedures
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesseveral options for horizontal partitioning and ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes, 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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infonot for in-memory storage engineyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infowith MEMORY storage engineno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache KylinDatabricksMariaDBTrafodion
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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MariaDB is the most powerful open source relational database – modern SQL and JSON...
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Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more

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More resources
Apache KylinDatabricksMariaDBTrafodion
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Recent citations in the news

Overhauling Apache Kylin for the cloud
18 November 2021, InfoWorld

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9 October 2023, hackernoon.com

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