DBMS > 4D vs. Amazon CloudSearch vs. Apache Druid vs. Atos Standard Common Repository vs. H2GIS

System Properties Comparison 4D vs. Amazon CloudSearch vs. Apache Druid vs. Atos Standard Common Repository vs. H2GIS

Editorial information provided by DB-Engines

Name

This system has been discontinued and will be removed from the DB-Engines ranking.

Description

Application development environment with integrated database management system

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

Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data

Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks

Spatial extension of H2

Primary database model

Relational DBMS

Search engine

Relational DBMS
Time Series DBMS

Document store
Key-value store

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	2.37
Rank	#110	Overall
	#54	Relational DBMS

Score	1.86
Rank	#133	Overall
	#12	Search engines

Score	2.85
Rank	#96	Overall
	#50	Relational DBMS
	#6	Time Series DBMS

Score	0.00
Rank	#385	Overall
	#7	Spatial DBMS

Website

www.4d.com

aws.amazon.com/cloudsearch

druid.apache.org

atos.net/en/convergence-creators/portfolio/standard-common-repository

www.h2gis.org

Technical documentation

developer.4d.com

docs.aws.amazon.com/cloudsearch

druid.apache.org/docs/latest/design

www.h2gis.org/docs/home

Developer

4D, Inc

Amazon

Apache Software Foundation and contributors

Atos Convergence Creators

CNRS

Initial release

1984

2012

2016

2013

Current release

v20, April 2023

30.0.0, June 2024

1703

License

Commercial or Open Source

commercial

Open Source

Apache license v2

commercial

Open Source

LGPL 3.0

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

Java

Server operating systems

OS X
Windows

hosted

Linux
OS X
Unix

Linux

Data scheme

yes

schema-less columns are supported

Schema and schema-less with LDAP views

yes

Typing

predefined data types such as float or date

yes

optional

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

yes

SQL

Support of SQL

yes

close to SQL 92

SQL for querying

yes

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

HTTP API

JDBC
RESTful HTTP/JSON API

LDAP

Supported programming languages

4D proprietary IDE
PHP

Clojure
JavaScript
PHP
Python
R
Ruby
Scala

All languages with LDAP bindings

Java

Server-side scripts

Stored procedures

yes

based on H2

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

automatic partitioning across Amazon Search Instance as required

Sharding

manual/auto, time-based

Sharding

cell division

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes

managed transparently by AWS

yes, via HDFS, S3 or other storage engines

yes

based on H2

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Atomic execution of specific operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

User concepts

Access control

Users and groups

authentication via encrypted signatures

RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

LDAP bind authentication

yes

based on H2

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More resources

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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

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21 February 2024, Dark Reading

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