DBMS > Alibaba Cloud MaxCompute vs. KairosDB vs. Newts vs. RDFox vs. searchxml

System Properties Comparison Alibaba Cloud MaxCompute vs. KairosDB vs. Newts vs. RDFox vs. searchxml

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

Distributed Time Series DBMS based on Cassandra or H2

Time Series DBMS based on Cassandra

High performance knowledge graph and semantic reasoning engine

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Relational DBMS

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

Time Series DBMS

Graph DBMS
RDF store

Native XML DBMS
Search engine

Secondary database models

Relational DBMS

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

Score	0.77
Rank	#214	Overall
	#98	Relational DBMS

Score	0.62
Rank	#239	Overall
	#20	Time Series DBMS

Score	0.00
Rank	#383	Overall
	#41	Time Series DBMS

Score	0.23
Rank	#308	Overall
	#25	Graph DBMS
	#14	RDF stores

Score	0.00
Rank	#383	Overall
	#7	Native XML DBMS
	#25	Search engines

Website

www.alibabacloud.com/product/maxcompute

github.com/kairosdb/kairosdb

opennms.github.io/newts

www.oxfordsemantic.tech

www.searchxml.net/category/products

Technical documentation

www.alibabacloud.com/help/en/maxcompute

kairosdb.github.io

github.com/OpenNMS/newts/wiki

docs.oxfordsemantic.tech

www.searchxml.net/support/handouts

Developer

Alibaba

OpenNMS Group

Oxford Semantic Technologies

informationpartners gmbh

Initial release

2016

2013

2014

2017

2015

Current release

1.2.2, November 2018

6.0, Septermber 2022

1.0

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

Apache 2.0

commercial

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

Java

C++

Server operating systems

hosted

Linux
OS X
Windows

Linux
macOS
Windows

Windows

Data scheme

yes

schema-free

yes

RDF schemas

schema-free

Typing

predefined data types such as float or date

yes

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

APIs and other access methods

Fluentd
Flume
MaxCompute Console

Graphite protocol
HTTP REST
Telnet API

HTTP REST
Java API

RESTful HTTP API
SPARQL 1.1

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

Java

Java
JavaScript

Node.js
PHP
Python

Java

C
Java

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

user defined functions

in Java

yes

on the application server

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

based on Cassandra

Sharding

based on Cassandra

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

selectable replication factor

based on Cassandra

selectable replication factor

based on Cassandra

replication via a shared file system

yes

sychronisation to multiple collections

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

multiple readers, single writer

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

User concepts

Access control

Access rights for users and roles

simple password-based access control

Roles, resources, and access types

Domain, group and role-based access control at the document level and for application services

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