DBMS > Amazon DynamoDB vs. Ehcache vs. IBM Cloudant vs. OpenTSDB vs. YottaDB

System Properties Comparison Amazon DynamoDB vs. Ehcache vs. IBM Cloudant vs. OpenTSDB vs. YottaDB

Editorial information provided by DB-Engines

Name

Description

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

A widely adopted Java cache with tiered storage options

Database as a Service offering based on Apache CouchDB

Scalable Time Series DBMS based on HBase

A fast and solid embedded Key-value store

Primary database model

Document store
Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	74.07
Rank	#17	Overall
	#3	Document stores
	#2	Key-value stores

Score	4.89
Rank	#67	Overall
	#8	Key-value stores

Score	2.68
Rank	#106	Overall
	#20	Document stores

Score	1.68
Rank	#146	Overall
	#12	Time Series DBMS

Score	0.20
Rank	#317	Overall
	#47	Key-value stores

Website

aws.amazon.com/dynamodb

www.ehcache.org

www.ibm.com/products/cloudant

opentsdb.net

yottadb.com

Technical documentation

docs.aws.amazon.com/dynamodb

www.ehcache.org/documentation

cloud.ibm.com/docs/Cloudant

opentsdb.net/docs/build/html/index.html

yottadb.com/resources/documentation

Developer

Amazon

Terracotta Inc, owned by Software AG

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

currently maintained by Yahoo and other contributors

YottaDB, LLC

Initial release

2012

2009

2010

2011

2001

Current release

3.10.0, March 2022

License

Commercial or Open Source

commercial

free tier for a limited amount of database operations

Open Source

Apache Version 2; commercial licenses available

commercial

Open Source

LGPL

Open Source

AGPL 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

Erlang

Java

Server operating systems

hosted

All OS with a Java VM

hosted

Linux
Windows

Docker
Linux

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

numeric data for metrics, strings for tags

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

SQL

Support of SQL

by using the Octo plugin

APIs and other access methods

RESTful HTTP API

JCache

RESTful HTTP/JSON API

HTTP API
Telnet API

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

Java

C#
Java
JavaScript
Objective-C
PHP
Ruby

Erlang
Go
Java
Python
R
Ruby

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

View functions (Map-Reduce) in JavaScript

Triggers

yes

by integration with AWS Lambda

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

Multi-source replication
Source-replica replication

selectable replication factor

based on HBase

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be specified for read operations

Tunable Consistency (Strong, Eventual, Weak)

Eventual Consistency

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

Transaction concepts

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

yes

supports JTA and can work as an XA resource

atomic operations within a document possible

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

yes

Durability

Support for making data persistent

yes

using a tiered cache-storage approach

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)

Access rights for users can be defined per database

Users and groups based on OS-security mechanisms

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