DBMS > AlaSQL vs. Alibaba Cloud MaxCompute vs. Apache Impala

System Properties Comparison AlaSQL vs. Alibaba Cloud MaxCompute vs. Apache Impala

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing

Analytic DBMS for Hadoop

Primary database model

Document store
Relational DBMS

Relational DBMS

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

Relational DBMS

Secondary database models

Document store

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

Score	0.49
Rank	#259	Overall
	#40	Document stores
	#120	Relational DBMS

Score	0.78
Rank	#221	Overall
	#102	Relational DBMS

Score	14.03
Rank	#40	Overall
	#24	Relational DBMS

Website

alasql.org

www.alibabacloud.com/product/maxcompute

impala.apache.org

Technical documentation

github.com/AlaSQL/alasql

www.alibabacloud.com/help/en/maxcompute

impala.apache.org/impala-docs.html

Developer

Andrey Gershun & Mathias R. Wulff

Alibaba

Apache Software Foundation

Apache top-level project, originally developed by Cloudera

Initial release

2014

2016

2013

Current release

4.1.0, June 2022

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

Apache Version 2

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

JavaScript

C++

Server operating systems

server-less, requires a JavaScript environment (browser, Node.js)

hosted

Linux

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

Close to SQL99, but no user access control, stored procedures and host language bindings.

SQL-like query language

SQL-like DML and DDL statements

APIs and other access methods

JavaScript API

Fluentd
Flume
MaxCompute Console

JDBC
ODBC

Supported programming languages

JavaScript

Java

All languages supporting JDBC/ODBC

Server-side scripts

Stored procedures

user defined functions

in Java

yes

user defined functions and integration of map-reduce

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Implicit feature of the cloud service

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

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

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

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