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DBMS > Apache Doris vs. Apache Hive vs. Databricks

System Properties Comparison Apache Doris vs. Apache Hive vs. Databricks

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Hive  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocoldata warehouse software for querying and managing large distributed datasets, built on HadoopThe 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#244  Overall
#115  Relational DBMS
Score72.65
Rank#18  Overall
#12  Relational DBMS
Score99.29
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
hive.apache.orgwww.databricks.com
Technical documentationgithub.com/­apache/­doris/­wikicwiki.apache.org/­confluence/­display/­Hive/­Homedocs.databricks.com
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation infoinitially developed by FacebookDatabricks
Initial release201720122013
Current release1.2.2, February 20233.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinuxAll OS with a Java VMhosted
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementswith Databricks SQL
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaC++
Java
PHP
Python
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reduceuser defined functions and aggregates
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles

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Apache DorisApache HiveDatabricks
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