DBMS > Alibaba Cloud MaxCompute vs. Coveo vs. KairosDB vs. ReductStore

System Properties Comparison Alibaba Cloud MaxCompute vs. Coveo vs. KairosDB vs. ReductStore

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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

AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code development

Distributed Time Series DBMS based on Cassandra or H2

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Primary database model

Relational DBMS

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

Search engine

Time Series DBMS

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

Score	0.85
Rank	#203	Overall
	#96	Relational DBMS

Score	2.14
Rank	#116	Overall
	#11	Search engines

Score	0.60
Rank	#238	Overall
	#20	Time Series DBMS

Score	0.00
Rank	#385	Overall
	#40	Time Series DBMS

Website

www.alibabacloud.com/product/maxcompute

www.coveo.com

github.com/kairosdb/kairosdb

github.com/reductstore
www.reduct.store

Technical documentation

www.alibabacloud.com/help/en/maxcompute

docs.coveo.com

kairosdb.github.io

www.reduct.store/docs

Developer

Alibaba

Coveo

ReductStore LLC

Initial release

2016

2012

2013

2023

Current release

1.2.2, November 2018

1.9, March 2024

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

Business Source License 1.1

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++, Rust

Server operating systems

hosted

Linux
OS X
Windows

Docker
Linux
macOS
Windows

Data scheme

yes

hybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configuration

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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Fluentd
Flume
MaxCompute Console

RESTful HTTP API

Graphite protocol
HTTP REST
Telnet API

HTTP API

Supported programming languages

Java

C#
Java
JavaScript
Python

Java
JavaScript

Node.js
PHP
Python

C++
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

user defined functions

in Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

yes

Sharding

based on Cassandra

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

selectable replication factor

based on Cassandra

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

yes

Transaction concepts

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

yes

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.

User concepts

Access control

Access rights for users and roles

granular access controls, API key management, content filters

simple password-based access control

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