DBMS > Apache IoTDB vs. Cassandra vs. IBM Cloudant

System Properties Comparison Apache IoTDB vs. Cassandra vs. IBM Cloudant

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

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

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

Database as a Service offering based on Apache CouchDB

Primary database model

Time Series DBMS

Wide column store

Document store

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

Score	0.36
Rank	#264	Overall
	#21	Time Series DBMS

Score	114.40
Rank	#11	Overall
	#1	Wide column stores

Score	3.33
Rank	#95	Overall
	#17	Document stores

Website

iotdb.apache.org

cassandra.apache.org

www.ibm.com/cloud/cloudant

Technical documentation

cassandra.apache.org/doc/latest

cloud.ibm.com/docs/Cloudant

Developer

Apache Software Foundation

Apache top level project, originally developped by Facebook

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Initial release

2018

2008

2010

Current release

4.0.4, May 2022

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache version 2

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.

Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Aiven for Apache Cassandra: Fully managed, open source NoSQL database specifically designed to be highly available, performant, and scalable.

Implementation language

Java

Erlang

Server operating systems

All OS with a Java VM (>= 1.8)

BSD
Linux
OS X
Windows

hosted

Data scheme

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.

Secondary indexes

yes

restricted

only equality queries, not always the best performing solution

yes

SQL

Support of SQL

SQL-like query language

SQL-like SELECT, DML and DDL statements (CQL)

APIs and other access methods

JDBC
Native API

Proprietary protocol

CQL (Cassandra Query Language, an SQL-like language)
Thrift

RESTful HTTP/JSON API

Supported programming languages

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

C#
Java
JavaScript
Objective-C
PHP
Ruby

Server-side scripts

Stored procedures

yes

View functions (Map-Reduce) in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Representation of geographical distribution of servers is possible

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
Strong Consistency with Raft

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Atomicity and isolation are supported for single operations

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

yes

Access rights for users can be defined per object

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

Apache Cassandra is the leading NoSQL, distributed database management system, well...
» more

Competitive advantages

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

No single point of failure ensures 100% availability . Operational simplicity for...
» more

Typical application scenarios

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

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
» more

Key customers

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

Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more

Market metrics

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

Cassandra is used by 40% of the Fortune 100.
» more

Licensing and pricing models

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

Apache licenseÂ Pricing for commercial distributions provided by DataStax and available...
» more

News

Real-time Data Just Got a Lot Easier
30 June 2022

Astra Streaming – The Data Infrastructure for Building Real-time Capabilities
29 June 2022

Principles of Cloud Native Architecture
28 June 2022

How to Migrate a JMS Application to Apache Pulsar Using Starlight for JMS API
23 June 2022

5 Reasons Why Serverless is Better with a Serverless DBaaS
22 June 2022

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.