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DBMS > Apache Impala vs. FileMaker vs. mSQL vs. PostGIS vs. Solr

System Properties Comparison Apache Impala vs. FileMaker vs. mSQL vs. PostGIS vs. Solr

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFileMaker  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPostGIS  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopFileMaker is a cross-platform RDBMS that includes a GUI frontend.mSQL (Mini SQL) is a simple and lightweight RDBMSSpatial extension of PostgreSQLA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSRelational DBMSSpatial DBMSSearch engine
Secondary database modelsDocument storeRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score48.20
Rank#20  Overall
#14  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
Websiteimpala.apache.orgwww.claris.com/­filemakerhughestech.com.au/­products/­msqlpostgis.netsolr.apache.org
Technical documentationimpala.apache.org/­impala-docs.htmlwww.claris.com/­resources/­documentationpostgis.net/­documentationsolr.apache.org/­resources.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaClaris infoa subsidiary of AppleHughes TechnologiesApache Software Foundation
Initial release20131983199420052006
Current release4.1.0, June 202219.4.1, November 20214.4, October 20213.4.2, February 20249.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial 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++CCJava
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
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 schemeyesyesyesyesyes 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.noyes infoA http query request can return the data in XML formatnoyesyes
Secondary indexesyesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infovia pluginsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCPHPC
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 proceduresyes infouser defined functions and integration of map-reduceyesnouser 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 nodesselectable replication factorSource-replica replication, warm standby infosince Version 14noneyes infobased on PostgreSQLyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
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.nononoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple rights management via user accounts and connection to external directory servicesnoyes infobased on PostgreSQLyes

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