DBMS > Alibaba Cloud MaxCompute vs. MarkLogic vs. Sequoiadb

System Properties Comparison Alibaba Cloud MaxCompute vs. MarkLogic vs. Sequoiadb

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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

Operational and transactional Enterprise NoSQL database

NewSQL database with distributed OLTP and SQL

Primary database model

Relational DBMS

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

Document store
Native XML DBMS
RDF store

as of version 7
Search engine

Document store
Relational DBMS

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

Score	0.59
Rank	#222	Overall
	#106	Relational DBMS

Score	9.78
Rank	#50	Overall
	#9	Document stores
	#1	Native XML DBMS
	#1	RDF stores
	#4	Search engines

Score	0.38
Rank	#261	Overall
	#39	Document stores
	#121	Relational DBMS

Website

www.alibabacloud.com/product/maxcompute

www.marklogic.com

www.sequoiadb.com

Technical documentation

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

docs.marklogic.com

www.sequoiadb.com/en/index.php?m=Files&a=index

Developer

Alibaba

MarkLogic Corp.

Sequoiadb Ltd.

Initial release

2016

2001

2013

Current release

9.0, 2017

License

Commercial or Open Source

commercial

restricted free version is available

Open Source

Server: AGPL; Client: Apache V2

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

Server operating systems

hosted

Linux
OS X
Windows

Linux

Data scheme

yes

schema-free

Schema can be enforced

schema-free

Typing

predefined data types such as float or date

yes

oid, date, timestamp, binary, regex

XML support

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

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

SQL92

SQL-like query language

APIs and other access methods

Fluentd
Flume
MaxCompute Console

Java API
Node.js Client API
ODBC
proprietary Optic API

Proprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT

proprietary protocol using JSON

Supported programming languages

Java

C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

.Net
C++
Java
PHP
Python

Server-side scripts

Stored procedures

user defined functions

in Java

yes

via XQuery or JavaScript

JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

can act as a resource manager in an XA/JTA transaction

Document is locked during a transaction

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes, with Range Indexes

User concepts

Access control

Access rights for users and roles

Role-based access control at the document and subdocument levels

simple password-based access control

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