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DBMS > Amazon Aurora vs. Apache Doris vs. Databricks

System Properties Comparison Amazon Aurora vs. Apache Doris vs. Databricks

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Doris  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAn MPP-based analytics DBMS embracing the MySQL protocolThe 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.
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.32
Rank#52  Overall
#32  Relational DBMS
Score0.50
Rank#255  Overall
#117  Relational DBMS
Score83.29
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Websiteaws.amazon.com/­rds/­auroradoris.apache.org
github.com/­apache/­doris
www.databricks.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlgithub.com/­apache/­doris/­wikidocs.databricks.com
DeveloperAmazonApache Software Foundation, originally contributed from BaiduDatabricks
Initial release201520172013
Current release1.2.2, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinuxhosted
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes
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.yesnoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyeswith Databricks SQL
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
MySQL client
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaPython
R
Scala
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functions and aggregates
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
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
Amazon AuroraApache DorisDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon AuroraApache DorisDatabricks
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