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DBMS > Apache Doris vs. Citus vs. Databricks vs. GeoSpock vs. Tibero

System Properties Comparison Apache Doris vs. Citus vs. Databricks vs. GeoSpock vs. Tibero

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonCitus  Xexclude from comparisonDatabricks  Xexclude from comparisonGeoSpock  Xexclude from comparisonTibero  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLThe 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.Spatial and temporal data processing engine for extreme data scaleA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.citusdata.comwww.databricks.comgeospock.comus.tmaxsoft.com/­products/­tibero
Technical documentationgithub.com/­apache/­doris/­wikidocs.citusdata.comdocs.databricks.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software Foundation, originally contributed from BaiduDatabricksGeoSpockTmaxSoft
Initial release2017201020132003
Current release1.2.2, February 20238.1, December 20182.0, September 20196, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL, commercial license also availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava, JavascriptC and Assembler
Server operating systemsLinuxLinuxhostedhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infospecific XML type available, but no XML query functionalityyesnoyes
Secondary indexesyesyesyestemporal, categoricalyes
SQL infoSupport of SQLyesyes infostandard, with numerous extensionswith Databricks SQLANSI SQL for query only (using Presto)yes
APIs and other access methodsJDBC
MySQL client
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
JDBCJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesJava.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Python
R
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions and aggregatesnoPersistent Stored Procedure (PSM)
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingAutomatic shardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononono infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users can be defined per tablefine grained access rights according to SQL-standard (SQL 92, SQL 99)
More information provided by the system vendor
Apache DorisCitusDatabricksGeoSpockTibero
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache DorisCitusDatabricksGeoSpockTibero
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