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DBMS > Apache Doris vs. GeoMesa vs. Spark SQL

System Properties Comparison Apache Doris vs. GeoMesa vs. Spark SQL

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGeoMesa  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#243  Overall
#111  Relational DBMS
Score0.95
Rank#221  Overall
#4  Spatial DBMS
Score19.23
Rank#36  Overall
#22  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.geomesa.orgspark.apache.org/­sql
Technical documentationgithub.com/­apache/­doris/­wikiwww.geomesa.org/­documentation/­stable/­user/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation, originally contributed from BaiduCCRi and othersApache Software Foundation
Initial release201720142014
Current release1.2.2, February 20234.0.4, October 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaScala
Server operating systemsLinuxLinux
OS X
Windows
Data schemeyesyesyes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
Supported programming languagesJavaJava
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningdepending on storage layeryes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layer
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.nodepending on storage layerno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageno

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More resources
Apache DorisGeoMesaSpark SQL
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