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

DBMS > Alibaba Cloud HybridDB vs. Amazon Redshift vs. Spark SQL

System Properties Comparison Alibaba Cloud HybridDB vs. Amazon Redshift vs. Spark SQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAlibaba Cloud HybridDB  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionHybridDB is an online MPP (Massively Parallel Processing) data warehousing service based on GreenplumLarge 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 DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#244  Overall
#115  Relational DBMS
Score20.93
Rank#31  Overall
#19  Relational DBMS
Score16.76
Rank#35  Overall
#21  Relational DBMS
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlaws.amazon.com/­redshiftspark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­35387.htmdocs.aws.amazon.com/­redshiftspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupAmazon (based on PostgreSQL)Apache Software Foundation
Initial release201620122014
Current releasev2.4.3, May 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCScala
Server operating systemshostedhostedLinux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesrestrictedno
SQL infoSupport of SQLyesyes infodoes not fully support an SQL-standardSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
All languages supporting JDBC/ODBCJava
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functions infoin Pythonno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoinformational only, not enforced by the systemno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine 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 partiesDBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.
» more

Dremio is like magic for Redshift accelerating your analytical queries up to 1,000x.
» 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
Alibaba Cloud HybridDBAmazon 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

Alibaba Cloud, AWS & DigitalOcean: Cloud Services Compared
31 May 2018, SitePoint

Alibaba Cloud: Rising Star in the Cloud Market
21 May 2018, Datamation

How Data Lakes Work
31 January 2017, DZone News

PostgreSQL vs. Hadoop
20 August 2016, DZone News

Databricks Announces Community Edition of Cloud-Based Platform
20 February 2016, DZone News

provided by Google News

SnapLogic Quick Start solution to help orgs quickly build and deploy cloud data lakes on AWS
19 July 2019, Help Net Security

This Amazon Web Services online course could help you kick off a new career
30 June 2019, Mashable

Talend Announces Availability of Stitch Data Loader on AWS Marketplace
11 July 2019, GlobeNewswire

SnapLogic Launches AWS Quick Start Solution to Accelerate Big Data Initiatives
16 July 2019, Yahoo Finance

AWS Adds to Container Services Lineup
12 July 2019, Container Journal

provided by Google News

Have Your Say On .NET For Spark
5 July 2019, iProgrammer

Dagster Emerges to Simplify Data App Development
16 July 2019, Datanami

A Decade Later, Apache Spark Still Going Strong
8 March 2019, Datanami

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

High-performance data processing technology through a new database partitioning method
3 June 2019, eurekalert.org

provided by Google News

Job opportunities

DevOps Engineer (Remote)
Imperfect Produce, United States

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

Data Engineer III
Premera Blue Cross, Mountlake Terrace, WA

Senior Business Intelligence Engineer
Amazon Digital Services LLC, Seattle, WA

Data Analyst
Upstart, San Carlos, CA

Big Data Software Engineer
JP Morgan Chase, Chicago, IL

Senior Software Engineer- Azure Data Factory
Microsoft, Redmond, WA

Python Software Engineer
JP Morgan Chase, Houston, TX

Senior Data Engineer, Growth
Netflix, Los Gatos, CA

Data Architect - Data Lake & Analytics - Nationwide Opportunities
Amazon Web Services, Inc., Houston, TX

jobs by Indeed




Share this page

Featured Products

Couchbase logo

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

Redis logo

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

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Neo4j logo

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

Present your product here