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DBMS > Apache Doris vs. Databricks vs. Yaacomo

System Properties Comparison Apache Doris vs. Databricks vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDatabricks  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn 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.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#251  Overall
#116  Relational DBMS
Score90.03
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.databricks.comyaacomo.com
Technical documentationgithub.com/­apache/­doris/­wikidocs.databricks.com
DeveloperApache Software Foundation, originally contributed from BaiduDatabricksQ2WEB GmbH
Initial release201720132009
Current release1.2.2, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinuxhostedAndroid
Linux
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyeswith Databricks SQLyes
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJavaPython
R
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregates
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replication
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 integritynoyes
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.nonoyes
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 DorisDatabricksYaacomo
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache DorisDatabricksYaacomo
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