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DBMS > Amazon Redshift vs. Spark SQL vs. SQLite

System Properties Comparison Amazon Redshift vs. Spark SQL vs. SQLite

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsSpark SQL is a component on top of 'Spark Core' for structured data processingWidely used in-process RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.67
Rank#31  Overall
#18  Relational DBMS
Score16.93
Rank#35  Overall
#21  Relational DBMS
Score122.19
Rank#9  Overall
#6  Relational DBMS
Websiteaws.amazon.com/­redshiftspark.apache.org/­sqlwww.sqlite.org
Technical documentationdocs.aws.amazon.com/­redshiftspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.html
DeveloperAmazon (based on PostgreSQL)Apache Software FoundationDwayne Richard Hipp
Initial release201220142000
Current release2.4.5, February 20203.31.0, January 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaC
Server operating systemshostedLinux
OS X
Windows
server-less
Data schemeyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.
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 indexesrestrictednoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesAll languages supporting JDBC/ODBCJava
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locks
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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More resources
Amazon RedshiftSpark SQLSQLite
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