DBMS > Alibaba Cloud MaxCompute vs. Amazon CloudSearch vs. KairosDB vs. OrigoDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon CloudSearch vs. KairosDB vs. OrigoDB

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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

A hosted search engine service by Amazon with the data stored in Amazons cloud

Distributed Time Series DBMS based on Cassandra or H2

A fully ACID in-memory object graph database

Primary database model

Relational DBMS

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

Search engine

Time Series DBMS

Document store
Object oriented DBMS

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

Score	0.77
Rank	#214	Overall
	#98	Relational DBMS

Score	1.85
Rank	#137	Overall
	#12	Search engines

Score	0.62
Rank	#239	Overall
	#20	Time Series DBMS

Score	0.00
Rank	#383	Overall
	#53	Document stores
	#20	Object oriented DBMS

Website

www.alibabacloud.com/product/maxcompute

aws.amazon.com/cloudsearch

github.com/kairosdb/kairosdb

origodb.com

Technical documentation

www.alibabacloud.com/help/en/maxcompute

docs.aws.amazon.com/cloudsearch

kairosdb.github.io

origodb.com/docs

Developer

Alibaba

Amazon

Robert Friberg et al

Initial release

2016

2012

2013

2009

under the name LiveDB

Current release

1.2.2, November 2018

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

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

Server operating systems

hosted

Linux
OS X
Windows

Linux
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

yes

all search fields are automatically indexed

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Fluentd
Flume
MaxCompute Console

HTTP API

Graphite protocol
HTTP REST
Telnet API

.NET Client API
HTTP API
LINQ

Supported programming languages

Java

Java
JavaScript

Node.js
PHP
Python

.Net

Server-side scripts

Stored procedures

user defined functions

in Java

yes

Triggers

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

yes

automatic partitioning across Amazon Search Instance as required

Sharding

based on Cassandra

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

managed transparently by AWS

selectable replication factor

based on Cassandra

Source-replica replication

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

Foreign keys

Referential integrity

depending on model

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Write ahead log

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

authentication via encrypted signatures

simple password-based access control

Role based authorization

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More resources

DB-Engines blog posts

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3 August 2015, Matthias Gelbmann

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