DBMS > Amazon SimpleDB vs. BigObject vs. searchxml vs. WakandaDB

System Properties Comparison Amazon SimpleDB vs. BigObject vs. searchxml vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

Hosted simple database service by Amazon, with the data stored in the Amazon Cloud.

There is an unrelated product called SimpleDB developed by Edward Sciore

Analytic DBMS for real-time computations and queries

DBMS for structured and unstructured content wrapped with an application server

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Key-value store

Relational DBMS

a hierachical model (tree) can be imposed

Native XML DBMS
Search engine

Object oriented DBMS

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

Score	1.89
Rank	#128	Overall
	#22	Key-value stores

Score	0.13
Rank	#329	Overall
	#147	Relational DBMS

Score	0.00
Rank	#385	Overall
	#7	Native XML DBMS
	#24	Search engines

Score	0.03
Rank	#364	Overall
	#17	Object oriented DBMS

Website

aws.amazon.com/simpledb

bigobject.io

www.searchxml.net/category/products

wakanda.github.io

Technical documentation

docs.aws.amazon.com/simpledb

docs.bigobject.io

www.searchxml.net/support/handouts

wakanda.github.io/doc

Developer

Amazon

BigObject, Inc.

informationpartners gmbh

Wakanda SAS

Initial release

2007

2015

2012

Current release

1.0

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

free community edition available

commercial

Open Source

AGPLv3, extended commercial license 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++

C++, JavaScript

Server operating systems

hosted

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

Windows

Linux
OS X
Windows

Data scheme

schema-free

yes

schema-free

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 columns are indexed automatically

yes

SQL

Support of SQL

SQL-like DML and DDL statements

APIs and other access methods

RESTful HTTP API

fluentd
ODBC
RESTful HTTP API

RESTful HTTP API
WebDAV
XQuery
XSLT

RESTful HTTP API

Supported programming languages

.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala

C++

most other programming languages supported via APIs

JavaScript

Server-side scripts

Stored procedures

Lua

yes

on the application server

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding must be implemented in the application

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

yes

sychronisation to multiple collections

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be specified for read operations

none

Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

Transaction concepts

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

Concurrent data updates can be detected by the application

multiple readers, single writer

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

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

User concepts

Access control

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

Domain, group and role-based access control at the document level and for application services

yes

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More resources

DB-Engines blog posts

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

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

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Recent citations in the news

AWS quietly freezes CodeCommit, Cloud9, SimpleDB and more, customers complain about lack of notice
31 July 2024, DevClass

A Place for Everything – Amazon SimpleDB
14 December 2007, AWS Blog

Amazon SimpleDB Management in Eclipse
22 July 2009, AWS Blog

Farewell EC2-Classic, it’s been swell
1 September 2023, All Things Distributed

AWS, Microsoft and Google should retire these cloud services
2 June 2020, TechTarget

provided by Google News

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