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 MySQL, Snowflake and Hive.

Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

Spark SQL is a component on top of 'Spark Core' for structured data processing

Primary database model

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	20.27
Rank	#31	Overall
	#18	Relational DBMS

Score	17.77
Rank	#33	Overall
	#20	Relational DBMS

Website

aws.amazon.com/redshift

spark.apache.org/sql

Technical documentation

docs.aws.amazon.com/redshift

spark.apache.org/docs/latest/sql-programming-guide.html

Developer

Amazon (based on PostgreSQL)

Apache Software Foundation

Initial release

2012

2014

Current release

2.4.5, February 2020

License

Commercial or Open Source

commercial

Open Source info

Apache 2.0

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Scala

Server operating systems

hosted

Linux
OS X
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

restricted

SQL

Support of SQL

yes

does not fully support an SQL-standard

SQL-like DML and DDL statements

APIs and other access methods

JDBC
ODBC

Supported programming languages

All languages supporting JDBC/ODBC

Java
Python
R
Scala

Server-side scripts info

Stored procedures

user defined functions info

in Python

Triggers

Partitioning methods info

Methods for storing different data on different nodes

Sharding

yes, utilizing Spark Core

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys info

Referential integrity

yes

informational only, not enforced by the system

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts info

Access control

fine grained access rights according to SQL-standard

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.