DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Redshift vs. Spark SQL

System Properties Comparison Amazon Redshift vs. Spark SQL

Please select another system to include it in the comparison.

Our visitors often compare Amazon Redshift and Spark SQL with Snowflake, MySQL and Hive.

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonSpark SQL  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 processing
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.61
Rank#30  Overall
#18  Relational DBMS
Score16.34
Rank#36  Overall
#22  Relational DBMS
Websiteaws.amazon.com/­redshiftspark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­redshiftspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation
Initial release20122014
Current releasev2.4.3, May 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCScala
Server operating systemshostedLinux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesrestrictedno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJava
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardno

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDremio is like magic for Redshift accelerating your analytical queries up to 1,000x.
» more

DBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftSpark SQL
DB-Engines blog posts

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

show all

Conferences and events

Spark Summit Europe 2019
Amsterdam, Netherlands, 15-17 October 2019

Recent citations in the news

Amazon's AWS Lake Formation Ups the Ante in Data Lake Space
12 August 2019, Yahoo Finance

Amazon introduces PartiQL, a SQL-compatible unifying query language for multi-valued, nested, and schema-less data
2 August 2019, Packt Hub

Amazon announces general availability of AWS Lake Formation
8 August 2019, VentureBeat

Amazon Releases AWS Lake Formation to General Availability
13 August 2019, InfoQ.com

Amazon Web Services Announces Availability of AWS Lake Formation
13 August 2019, TechDecisions

provided by Google News

Intel Charges Spark Workloads with Optane Persistent Memory
30 July 2019, HPCwire

Intel Turbocharges Spark Workloads with Optane DCPMM
29 July 2019, Datanami

Accelerate Your Apache Spark with Intel Optane DC Persistent Memory
28 July 2019, insideHPC

Azul Systems Announces General Availability of Zing 19.07
31 July 2019, GlobeNewswire

Delta Lake gives Apache Spark data sets new powers
24 April 2019, InfoWorld

provided by Google News

Job opportunities

BI Engineer
Amazon.com Services, Inc., Seattle, WA

Business Intelligence (BI) Engineer
Amazon Web Services, Inc., Herndon, VA

Business Intelligence Analyst
Amazon.com Services, Inc., Santa Monica, CA

Business Operations Manager- Strategic Accounts
Amazon.com Services, Inc., Seattle, WA

Business Analyst II
Amazon.com Services, Inc., Seattle, WA

Big Data Software Engineer
JP Morgan Chase, Chicago, IL

Associate Business Analyst
Federal Reserve Bank of Richmond, Richmond, VA

Senior Graph Database Developer
GEICO, Chevy Chase, MD

Research Scientist
IBM, United States

Senior Software Engineer
Walmart, Carlsbad, CA

jobs by Indeed




Share this page

Featured Products

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Present your product here