DBMS > Amazon SimpleDB vs. Apache IoTDB vs. Hazelcast vs. IBM Cloudant

System Properties Comparison Amazon SimpleDB vs. Apache IoTDB vs. Hazelcast vs. IBM Cloudant

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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

An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and Flink

A widely adopted in-memory data grid

Database as a Service offering based on Apache CouchDB

Primary database model

Secondary database models

Document store

JSON support with IMDG 3.12

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

Score	2.10
Rank	#122	Overall
	#24	Key-value stores

Score	0.43
Rank	#255	Overall
	#20	Time Series DBMS

Score	10.38
Rank	#48	Overall
	#6	Key-value stores

Score	3.26
Rank	#95	Overall
	#17	Document stores

Website

aws.amazon.com/simpledb

iotdb.apache.org

hazelcast.com

www.ibm.com/cloud/cloudant

Technical documentation

docs.aws.amazon.com/simpledb

hazelcast.org/imdg/docs

cloud.ibm.com/docs/Cloudant

Developer

Amazon

Apache Software Foundation

Hazelcast

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Initial release

2007

2018

2008

2010

Current release

5.1, March 2022

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

Apache Version 2; commercial licenses available

commercial

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

Server operating systems

hosted

All OS with a Java VM (>= 1.8)

All OS with a Java VM

hosted

Data scheme

schema-free

yes

schema-free

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

the object must implement a serialization strategy

Secondary indexes

yes

All columns are indexed automatically

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

RESTful HTTP API

JDBC
Native API

JCache
JPA
Memcached protocol
RESTful HTTP API

RESTful HTTP/JSON API

Supported programming languages

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

.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala

C#
Java
JavaScript
Objective-C
PHP
Ruby

Server-side scripts

Stored procedures

yes

Event Listeners, Executor Services

View functions (Map-Reduce) in JavaScript

Triggers

yes

Events

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding must be implemented in the application

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Replicated Map

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Integration with Hadoop and Spark

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be specified for read operations

Eventual Consistency
Strong Consistency with Raft

Immediate Consistency or Eventual Consistency selectable by user

Raft Consensus Algorithm

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Concurrent data updates can be detected by the application

one or two-phase-commit; repeatable reads; read commited

atomic operations within a document possible

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

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)

yes

Role-based access control

Access rights for users can be defined per database

More information provided by the system vendor

Specific characteristics

Apache IoTDB (Internet of Things Database) is a time series data management system...
» more

Competitive advantages

Low Cost and High Performance Tens of million points write throughput High compression...
» more

Typical application scenarios

IoT / IIoT End-Edge-Cloud Collaboration Real-Time and Historian Time Series Analytics
» more

Key customers

Over 200 customers worldwide, including Bosch, Siemens, Komat'su, Alibaba, etc.
» more

Market metrics

185+ contributors and 10,000+ times monthly clones on GitHub Rank 7 by commits among...
» more

Licensing and pricing models

Open Source: Apache License v2.0 Pricing for commercial-/cloud-/edge-edition provided...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

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