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DBMS > Apache Doris vs. Databricks vs. SiteWhere

System Properties Comparison Apache Doris vs. Databricks vs. SiteWhere

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDatabricks  Xexclude from comparisonSiteWhere  Xexclude from comparison
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.M2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSDocument store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#255  Overall
#117  Relational DBMS
Score83.29
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.06
Rank#346  Overall
#32  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.databricks.comgithub.com/­sitewhere/­sitewhere
Technical documentationgithub.com/­apache/­doris/­wikidocs.databricks.comsitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation, originally contributed from BaiduDatabricksSiteWhere
Initial release201720132010
Current release1.2.2, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinuxhostedLinux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)predefined scheme
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 indexesyesyesno
SQL infoSupport of SQLyeswith Databricks SQLno
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesJavaPython
R
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregates
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor infobased on HBase
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 integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept
More information provided by the system vendor
Apache DorisDatabricksSiteWhere
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache DorisDatabricksSiteWhere
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Migrating from ClickHouse to Apache Doris: Boosting OLAP Performance
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