DBMS > Alibaba Cloud MaxCompute vs. Hive vs. Spark SQL

System Properties Comparison Alibaba Cloud MaxCompute vs. Hive vs. Spark SQL

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Editorial information provided by DB-Engines

Name

Description

MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing

data warehouse software for querying and managing large distributed datasets, built on Hadoop

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

Primary database model

Relational DBMS info

a graph-processing framework is available with the graphs being stored in tables

Relational DBMS

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

Score	0.35
Rank	#224	Overall
	#104	Relational DBMS

Score	77.90
Rank	#14	Overall
	#9	Relational DBMS

Score	16.28
Rank	#36	Overall
	#22	Relational DBMS

Website

www.alibabacloud.com/product/maxcompute

hive.apache.org

spark.apache.org/sql

Technical documentation

www.alibabacloud.com/help/product/27797.htm

cwiki.apache.org/confluence/display/Hive/Home

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

Developer

Alibaba

Apache Software Foundation info

initially developed by Facebook

Apache Software Foundation

Initial release

2016

2012

2014

Current release

2.3.0, July 2017

v2.4.2, April 2019

License

Commercial or Open Source

commercial

Open Source info

Apache Version 2

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

Java

Scala

Server operating systems

hosted

All OS with a Java VM

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

yes

SQL

Support of SQL

SQL-like query language

SQL-like DML and DDL statements

APIs and other access methods

Fluentd
Flume
MaxCompute Console

JDBC
ODBC
Thrift

JDBC
ODBC

Supported programming languages

Java

C++
Java
PHP
Python

Java
Python
R
Scala

Server-side scripts info

Stored procedures

user defined functions info

in Java

yes

user defined functions and integration of map-reduce

Triggers

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

yes, utilizing Spark Core

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys info

Referential integrity

Transaction concepts info

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

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.

User concepts info

Access control

Access rights for users and roles

Access rights for users, groups and roles

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