DBMS > Amazon CloudSearch vs. JaguarDB vs. RethinkDB

System Properties Comparison Amazon CloudSearch vs. JaguarDB vs. RethinkDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

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

Performant, highly scalable DBMS for AI and IoT applications

DBMS for the Web with a mechanism to push updated query results to applications in realtime.

Primary database model

Search engine

Key-value store

Document store

Secondary database models

Spatial DBMS

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

Score	2.52
Rank	#125	Overall
	#11	Search engines

Score	0.00
Rank	#389	Overall
	#63	Key-value stores

Score	3.85
Rank	#95	Overall
	#18	Document stores

Website

aws.amazon.com/cloudsearch

www.datajaguar.com

rethinkdb.com

Technical documentation

docs.aws.amazon.com/cloudsearch

www.datajaguar.com/support.php

rethinkdb.com/docs

Developer

Amazon

DataJaguar, Inc.

The Linux Foundation

since July 2017

Initial release

2012

2015

2009

Current release

2.9.4 September 2018

2.4.1, August 2020

License

Commercial or Open Source

commercial

Open Source

GPL V3.0

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

C++

the server part. Clients available in other languages

C++

Server operating systems

hosted

Linux

Linux
OS X
Windows

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

string, binary, float, bool, date, geometry

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

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

APIs and other access methods

HTTP API

JDBC
ODBC

Supported programming languages

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

community-supported driver
C#

community-supported driver
C++

community-supported driver
Clojure

community-supported driver
Dart

community-supported driver
Erlang

community-supported driver
Go

community-supported driver
Haskell

community-supported driver
Java

official driver
JavaScript (Node.js)

official driver
Lisp

community-supported driver
Lua

community-supported driver
Objective-C

community-supported driver
Perl

community-supported driver
PHP

community-supported driver
Python

official driver
Ruby

official driver
Scala

community-supported driver

Server-side scripts

Stored procedures

Triggers

Client-side triggers through changefeeds

Partitioning methods

Methods for storing different data on different nodes

yes

automatic partitioning across Amazon Search Instance as required

Sharding

range based

Replication methods

Methods for redundantly storing data on multiple nodes

yes

managed transparently by AWS

Multi-source replication

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Atomic single-document operations

Concurrency

Support for concurrent manipulation of data

yes

MVCC based

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

authentication via encrypted signatures

rights management via user accounts

yes

users and table-level permissions

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

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

Meet some database management systems you are likely to hear more about in the future
4 August 2014, Paul Andlinger

show all

Recent citations in the news

Building a PLG motion on top of usage-based pricing
13 March 2023, TechCrunch

Is Amazon CloudSearch superior to do-it-yourself search tools?
24 January 2014, TechTarget

How your company can adopt a usage-based business model like ...
11 July 2022, TechCrunch

Searching for search: UK Gov wants to dump GOV.UK Elasticsearch
17 November 2022, The Stack

Using AWS Cloud Search
11 December 2012, InfoQ.com

provided by Google News

RethinkDB's Open Source NoSQL Now Production-Ready
14 April 2015, Data Center Knowledge

How To Install RethinkDB server on Ubuntu 20.04 LTS Focal fossa
2 February 2022, linux.how2shout.com

How to Use RethinkDB with Node.js Applications — SitePoint
16 December 2015, SitePoint

Stripe acquires team behind NoSQL database startup RethinkDB
5 October 2016, VentureBeat

7 Most Popular Real-Time Databases
28 November 2022, Analytics India Magazine

provided by Google News

Job opportunities

Software Engineer I
Transcat, Inc., New York, NY

Software Engineer
Transcat, Inc., Rochester, NY

Senior Server Software Engineer
Canvis, San Francisco, CA

Senior Software Engineer
GivePulse, Austin, TX

Senior QA and DevOps Engineer
Canvis, San Francisco, CA

jobs by

Share this page