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DBMS > Apache Drill vs. Cubrid vs. mSQL vs. PostGIS vs. Solr

System Properties Comparison Apache Drill vs. Cubrid vs. mSQL vs. PostGIS vs. Solr

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonCubrid  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPostGIS  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPmSQL (Mini SQL) is a simple and lightweight RDBMSSpatial extension of PostgreSQLA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSSpatial DBMSSearch engine
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitedrill.apache.orgcubrid.com (korean)
cubrid.org (english)
hughestech.com.au/­products/­msqlpostgis.netsolr.apache.org
Technical documentationdrill.apache.org/­docscubrid.org/­manualspostgis.net/­documentationsolr.apache.org/­resources.html
DeveloperApache Software FoundationCUBRID Corporation, CUBRID FoundationHughes TechnologiesApache Software Foundation
Initial release20122008199420052006
Current release1.20.3, January 202311.0, January 20214.4, October 20213.4.2, February 20249.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial infofree licenses can be providedOpen Source infoGPL v2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaCCJava
Server operating systemsLinux
OS X
Windows
Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes infosupports customizable data types and automatic typing
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.nononoyesyes
Secondary indexesnoyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC++C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsJava Stored Proceduresnouser defined functionsJava plugins
Triggersnoyesnoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneyes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infobased on PostgreSQLyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenononoyes
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardnoyes infobased on PostgreSQLyes

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