DBMS > Alibaba Cloud MaxCompute vs. Datomic vs. KairosDB vs. MaxDB vs. OpenQM

System Properties Comparison Alibaba Cloud MaxCompute vs. Datomic vs. KairosDB vs. MaxDB vs. OpenQM

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

Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability

Distributed Time Series DBMS based on Cassandra or H2

A robust and reliable RDBMS optimized to run all major SAP solutions

QpenQM is a high-performance, self-tuning, multi-value DBMS

Primary database model

Relational DBMS

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

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

Score	0.77
Rank	#214	Overall
	#98	Relational DBMS

Score	1.59
Rank	#150	Overall
	#69	Relational DBMS

Score	0.62
Rank	#239	Overall
	#20	Time Series DBMS

Score	2.32
Rank	#112	Overall
	#55	Relational DBMS

Score	0.27
Rank	#298	Overall
	#10	Multivalue DBMS

Website

www.alibabacloud.com/product/maxcompute

www.datomic.com

github.com/kairosdb/kairosdb

maxdb.sap.com

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-open-qm

Technical documentation

www.alibabacloud.com/help/en/maxcompute

docs.datomic.com

kairosdb.github.io

maxdb.sap.com/documentation

Developer

Alibaba

Cognitect

SAP, acquired from Software AG (Adabas-D) in 1997

Rocket Software, originally Martin Phillips

Initial release

2016

2012

2013

1984

1993

Current release

1.0.6735, June 2023

1.2.2, November 2018

7.9.10.12, February 2024

3.4-12

License

Commercial or Open Source

commercial

limited edition free

Open Source

Apache 2.0

commercial

Limited community edition free

Open Source

GPLv2, extended commercial license available

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, Clojure

Java

C++

Server operating systems

hosted

All OS with a Java VM

Linux
OS X
Windows

AIX
HP-UX
Linux
Solaris
Windows

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Data scheme

yes

schema-free

yes

with some exceptions

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

yes

APIs and other access methods

Fluentd
Flume
MaxCompute Console

RESTful HTTP API

Graphite protocol
HTTP REST
Telnet API

ADO.NET
JDBC
ODBC
WebDAV

Supported programming languages

Java

Clojure
Java

Java
JavaScript

Node.js
PHP
Python

.Net
C#
Java
Perl
PHP
Python

.Net
Basic
C
Java
Objective C
PHP
Python

Server-side scripts

Stored procedures

user defined functions

in Java

yes

Transaction Functions

yes

Triggers

By using transaction functions

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

none

But extensive use of caching in the application peers

Sharding

based on Cassandra

none

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

none

But extensive use of caching in the application peers

selectable replication factor

based on Cassandra

Source-replica replication

yes

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

Immediate Consistency

Foreign keys

Referential integrity

yes

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

using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)

yes

In-memory capabilities

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

yes

recommended only for testing and development

User concepts

Access control

Access rights for users and roles

simple password-based access control

fine grained access rights according to SQL-standard

Access rights can be defined down to the item level

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