DBMS > Amazon DynamoDB vs. EsgynDB

System Properties Comparison Amazon DynamoDB vs. EsgynDB

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Our visitors often compare Amazon DynamoDB and EsgynDB with Oracle Berkeley DB, HBase and PostgreSQL.

Editorial information provided by DB-Engines

Name

Description

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

Primary database model

Document store
Key-value store

Relational DBMS

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

Score	64.58
Rank	#16	Overall
	#2	Document stores
	#2	Key-value stores

Score	0.25
Rank	#261	Overall
	#119	Relational DBMS

Website

aws.amazon.com/dynamodb

esgyn.com

Technical documentation

docs.aws.amazon.com/dynamodb

esgyn.com/developers

Developer

Amazon

Esgyn

Initial release

2012

2015

License

Commercial or Open Source

commercial info

free tier for a limited amount of database operations

commercial

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

C++, Java

Server operating systems

hosted

Linux

Data scheme

schema-free

yes

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

SQL

Support of SQL

yes

APIs and other access methods

RESTful HTTP API

ADO.NET
JDBC
ODBC

Supported programming languages

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

All languages supporting JDBC/ODBC/ADO.Net

Server-side scripts info

Stored procedures

Java Stored Procedures

Triggers

yes

by integration with AWS Lambda

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Master-master replication between multi datacenters

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency info

can be specified for read operations

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

ACID

ACID across one or more tables within a single AWS account and region

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

User concepts info

Access control

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

fine grained access rights according to SQL-standard

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