DBMS > AlaSQL vs. Alibaba Cloud ApsaraDB for PolarDB vs. Amazon Aurora vs. Elasticsearch vs. Infobright

System Properties Comparison AlaSQL vs. Alibaba Cloud ApsaraDB for PolarDB vs. Amazon Aurora vs. Elasticsearch vs. Infobright

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

A cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.

MySQL and PostgreSQL compatible cloud service by Amazon

A distributed, RESTful modern search and analytics engine based on Apache Lucene

Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric

High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend

Primary database model

Document store
Relational DBMS

Relational DBMS

Search engine

Relational DBMS

Secondary database models

Document store

Document store
Spatial DBMS

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

Score	0.55
Rank	#230	Overall
	#35	Document stores
	#111	Relational DBMS

Score	0.52
Rank	#237	Overall
	#113	Relational DBMS

Score	12.46
Rank	#45	Overall
	#29	Relational DBMS

Score	157.69
Rank	#8	Overall
	#1	Search engines

Score	1.02
Rank	#173	Overall
	#84	Relational DBMS

Website

alasql.org

www.alibabacloud.com/product/polardb

aws.amazon.com/rds/aurora

www.elastic.co/elasticsearch

ignitetech.com/softwarelibrary/infobrightdb

Technical documentation

github.com/agershun/alasql

www.alibabacloud.com/help/doc-detail/58764.htm

docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_Aurora.html

www.elastic.co/guide/en/elasticsearch/reference/current/index.html

Developer

Andrey Gershun & Mathias R. Wulff

Alibaba

Amazon

Elastic

Ignite Technologies Inc.; formerly InfoBright Inc.

Initial release

2014

2015

2010

2005

Current release

7.8.0, June 2020

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

Elastic License

commercial

The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016

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

Java

Server operating systems

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

hosted

All OS with a Java VM

Linux
Windows

Data scheme

schema-free

yes

schema-free

Flexible type definitions. Once a type is defined, it is persistent

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

All search fields are automatically indexed

Knowledge Grid Technology used instead

SQL

Support of SQL

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

yes

SQL-like query language

yes

APIs and other access methods

JavaScript API

JDBC
ODBC

ADO.NET
JDBC
ODBC

Java API
RESTful HTTP/JSON API

ADO.NET
JDBC
ODBC

Supported programming languages

JavaScript

Java
Python

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby

.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

horizontal partitioning

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Implicit feature of the cloud service

Source-replica replication

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Immediate 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

ACID

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

Memcached and Redis integration

yes

User concepts

Access control

fine grained access rights according to SQL-standard

exploiting MySQL or PostgreSQL frontend capabilities

More information provided by the system vendor

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Licensing and pricing models

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