DBMS > IBM Cloudant vs. OpenTSDB vs. Oracle Coherence

System Properties Comparison IBM Cloudant vs. OpenTSDB vs. Oracle Coherence

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Editorial information provided by DB-Engines

Name

Description

Database as a Service offering based on Apache CouchDB

Scalable Time Series DBMS based on HBase

Oracles in-memory data grid solution

Primary database model

Document store

Time Series DBMS

Key-value store

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

Score	2.68
Rank	#106	Overall
	#20	Document stores

Score	1.68
Rank	#146	Overall
	#12	Time Series DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Website

www.ibm.com/products/cloudant

opentsdb.net

www.oracle.com/java/coherence

Technical documentation

cloud.ibm.com/docs/Cloudant

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

docs.oracle.com/en/middleware/standalone/coherence

Developer

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

currently maintained by Yahoo and other contributors

Oracle

Initial release

2010

2011

2007

Current release

14.1, August 2023

License

Commercial or Open Source

commercial

Open Source

LGPL

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

Erlang

Java

Server operating systems

hosted

Linux
Windows

All OS with a Java VM

Data scheme

schema-free

Typing

predefined data types such as float or date

numeric data for metrics, strings for tags

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

SQL

Support of SQL

APIs and other access methods

RESTful HTTP/JSON API

HTTP API
Telnet API

JCache
JPA
RESTful HTTP API

Supported programming languages

C#
Java
JavaScript
Objective-C
PHP
Ruby

Erlang
Go
Java
Python
R
Ruby

.Net
C++
Java

Server-side scripts

Stored procedures

View functions (Map-Reduce) in JavaScript

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on HBase

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

selectable replication factor

based on HBase

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

based on HBase

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

atomic operations within a document possible

configurable

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

yes

Durability

Support for making data persistent

yes

optionally

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 can be defined per database

authentification to access the cache via certificates or http basic authentication

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More resources

DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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