DBMS > Amazon CloudSearch vs. Drizzle vs. JaguarDB vs. Machbase Neo

System Properties Comparison Amazon CloudSearch vs. Drizzle vs. JaguarDB vs. Machbase Neo

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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

A hosted search engine service by Amazon with the data stored in Amazons cloud

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

Performant, highly scalable DBMS for AI and IoT applications

TimeSeries DBMS for AIoT and BigData

Primary database model

Search engine

Relational DBMS

Key-value store
Vector DBMS

Time Series DBMS

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

Score	1.86
Rank	#133	Overall
	#12	Search engines

Score	0.00
Rank	#385	Overall
	#61	Key-value stores
	#16	Vector DBMS

Score	0.07
Rank	#348	Overall
	#34	Time Series DBMS

Website

aws.amazon.com/cloudsearch

www.jaguardb.com

machbase.com

Technical documentation

docs.aws.amazon.com/cloudsearch

www.jaguardb.com/support.html

machbase.com/dbms

Developer

Amazon

Drizzle project, originally started by Brian Aker

DataJaguar, Inc.

Machbase

Initial release

2012

2008

2015

2013

Current release

7.2.4, September 2012

3.3 July 2023

V8.0, August 2023

License

Commercial or Open Source

commercial

Open Source

GNU GPL

Open Source

GPL V3.0

commercial

free test version 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

C++

the server part. Clients available in other languages

Server operating systems

hosted

FreeBSD
Linux
OS X

Linux

Linux
macOS
Windows

Data scheme

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

all search fields are automatically indexed

yes

SQL

Support of SQL

yes

with proprietary extensions

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

SQL-like query language

APIs and other access methods

HTTP API

JDBC

JDBC
ODBC

gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC

Supported programming languages

C
C++
Java
PHP

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

C
C#
C++
Go
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

Server-side scripts

Stored procedures

Triggers

hooks for callbacks inside the server can be used.

Partitioning methods

Methods for storing different data on different nodes

yes

automatic partitioning across Amazon Search Instance as required

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

managed transparently by AWS

Multi-source replication
Source-replica replication

Multi-source replication

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual 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.

yes

volatile and lookup table

User concepts

Access control

authentication via encrypted signatures

Pluggable authentication mechanisms

e.g. LDAP, HTTP

rights management via user accounts

simple password-based access control

More information provided by the system vendor

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More resources

DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Recent citations in the news

Transition from Amazon CloudSearch to Amazon OpenSearch Service
25 July 2024, AWS Blog

AWS to discontinue Cloud9, CodeCommit, CloudSearch and several other services
31 July 2024, Neowin

AWS is quietly killing off some services under its new CEO
31 July 2024, The Stack

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month
12 April 2012, AWS Blog

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

provided by Google News

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