DBMS > Alibaba Cloud MaxCompute vs. Hive vs. RDF4J

System Properties Comparison Alibaba Cloud MaxCompute vs. Hive vs. RDF4J

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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

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

Relational DBMS info

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

Relational DBMS

RDF store

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

Score	0.39
Rank	#225	Overall
	#108	Relational DBMS

Score	81.80
Rank	#14	Overall
	#9	Relational DBMS

Score	0.50
Rank	#206	Overall
	#9	RDF stores

Website

www.alibabacloud.com/product/maxcompute

hive.apache.org

rdf4j.org

Technical documentation

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

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

docs.rdf4j.org

Developer

Alibaba

Apache Software Foundation info

initially developed by Facebook

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

2016

2012

2004

Current release

2.3.5, May 2019

License

Commercial or Open Source

commercial

Open Source info

Apache Version 2

Open Source info

Eclipse Distribution License (EDL), v1.0.

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

Server operating systems

hosted

All OS with a Java VM

Linux
OS X
Unix
Windows

Data scheme

yes

RDF Schemas

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

Java API
RIO info

RDF Input/Output
Sail API
SeRQL info

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

Java

C++
Java
PHP
Python

Java
PHP
Python

Server-side scripts info

Stored procedures

user defined functions info

in Java

yes

user defined functions and integration of map-reduce

yes

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

none

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

ACID

Isolation support depends on the API used

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

in-memory storage is supported as well

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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