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DBMS > Apache Impala vs. mSQL vs. searchxml vs. Spark SQL

System Properties Comparison Apache Impala vs. mSQL vs. searchxml vs. Spark SQL

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonsearchxml  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopmSQL (Mini SQL) is a simple and lightweight RDBMSDBMS for structured and unstructured content wrapped with an application serverSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSNative XML DBMS
Search engine
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteimpala.apache.orghughestech.com.au/­products/­msqlwww.searchxml.net/­category/­productsspark.apache.org/­sql
Technical documentationimpala.apache.org/­impala-docs.htmlwww.searchxml.net/­support/­handoutsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHughes Technologiesinformationpartners gmbhApache Software Foundation
Initial release2013199420152014
Current release4.1.0, June 20224.4, October 20211.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree licenses can be providedcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++Scala
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
WindowsLinux
OS X
Windows
Data schemeyesyesschema-freeyes
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.nonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Delphi
Java
Perl
PHP
Tcl
C++ infomost other programming languages supported via APIsJava
Python
R
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infoon the application serverno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonomultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoDomain, group and role-based access control at the document level and for application servicesno

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More resources
Apache ImpalamSQL infoMini SQLsearchxmlSpark SQL
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