DBMS > AlaSQL vs. Drizzle vs. Elasticsearch

System Properties Comparison AlaSQL vs. Drizzle vs. Elasticsearch

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Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

JavaScript DBMS library

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

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

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

Primary database model

Document store
Relational DBMS

Relational DBMS

Search engine

Secondary database models

Document store

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

Score	0.36
Rank	#229	Overall
	#32	Document stores
	#106	Relational DBMS

Score	150.25
Rank	#7	Overall
	#1	Search engines

Website

alasql.org

www.elastic.co/products/elasticsearch

Technical documentation

github.com/agershun/alasql

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

Developer

Andrey Gershun & Mathias R. Wulff

Drizzle project, originally started by Brian Aker

Elastic

Initial release

2014

2008

2010

Current release

7.2.4, September 2012

7.3.0, August 2019

License

Commercial or Open Source

Open Source info

MIT-License

Open Source info

GNU GPL

Open Source info

Apache Version 2; Elastic License

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.

Implementation language

JavaScript

C++

Java

Server operating systems

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

FreeBSD
Linux
OS X

All OS with a Java VM

Data scheme

schema-free

yes

schema-free info

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

Typing

predefined data types such as float or date

yes

XML support info

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

All search fields are automatically indexed

SQL

Support of SQL

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

yes

with proprietary extensions

SQL-like query language

APIs and other access methods

JavaScript API

JDBC

Java API
RESTful HTTP/JSON API

Supported programming languages

JavaScript

C
C++
Java
PHP

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

Server-side scripts info

Stored procedures

yes

Triggers

yes

hooks for callbacks inside the server can be used.

yes

by using the 'percolation' feature

Partitioning methods info

Methods for storing different data on different nodes

none

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

none

Master-master replication
Master-slave replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

Consistency concepts info

Methods to ensure consistency in a distributed system

none

Eventual Consistency info

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

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

yes

only for local storage and DOM-storage

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

In-memory capabilities info

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

yes

Memcached and Redis integration

User concepts info

Access control

Pluggable authentication mechanisms info

e.g. LDAP, HTTP

More information provided by the system vendor

Specific characteristics

Elasticsearch is a highly scalable open source full-text search and analytics engine....
» more

Competitive advantages

Open source, real-time index, search and analysis, horizontally scalable, distributed,...
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Typical application scenarios

» more

Key customers

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Market metrics

More than 250 million cumulative downloads More than 100,000 community members in...
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Licensing and pricing models

The Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
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