DBMS > Alibaba Cloud MaxCompute vs. Apache Kylin vs. Badger vs. OpenEdge

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Kylin vs. Badger vs. OpenEdge

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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 distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stack

An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.

Application development environment with integrated database management system

Primary database model

Relational DBMS

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

Relational DBMS

Key-value store

Relational DBMS

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

Score	0.84
Rank	#209	Overall
	#98	Relational DBMS

Score	1.25
Rank	#170	Overall
	#77	Relational DBMS

Score	0.22
Rank	#320	Overall
	#47	Key-value stores

Score	3.45
Rank	#85	Overall
	#46	Relational DBMS

Website

www.alibabacloud.com/product/maxcompute

kylin.apache.org

github.com/dgraph-io/badger

www.progress.com/openedge

Technical documentation

www.alibabacloud.com/help/en/maxcompute

kylin.apache.org/docs

godoc.org/github.com/dgraph-io/badger

documentation.progress.com/output/ua/OpenEdge_latest

Developer

Alibaba

Apache Software Foundation, originally contributed from eBay Inc

DGraph Labs

Progress Software Corporation

Initial release

2016

2015

2017

1984

Current release

3.1.0, July 2020

OpenEdge 12.2, March 2020

License

Commercial or Open Source

commercial

Open Source

Apache Version 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

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Implementation language

Java

Server operating systems

hosted

Linux

BSD
Linux
OS X
Solaris
Windows

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

yes

schema-free

yes

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

ANSI SQL for queries (using Apache Calcite)

yes

close to SQL 92

APIs and other access methods

Fluentd
Flume
MaxCompute Console

JDBC
ODBC
RESTful HTTP API

JDBC
ODBC

Supported programming languages

Java

Progress proprietary ABL (Advanced Business Language)

Server-side scripts

Stored procedures

user defined functions

in Java

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

none

horizontal partitioning

since Version 11.4

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

none

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

none

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

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

Users and groups

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