DBMS > atoti vs. IBM Cloudant vs. Oracle Coherence vs. Quasardb

System Properties Comparison atoti vs. IBM Cloudant vs. Oracle Coherence vs. Quasardb

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Editorial information provided by DB-Engines

Name

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

Database as a Service offering based on Apache CouchDB

Oracles in-memory data grid solution

Distributed, high-performance timeseries database

Primary database model

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

Score	0.61
Rank	#243	Overall
	#10	Object oriented DBMS

Score	2.75
Rank	#104	Overall
	#19	Document stores

Score	1.97
Rank	#129	Overall
	#22	Key-value stores

Score	0.21
Rank	#322	Overall
	#29	Time Series DBMS

Website

atoti.io

www.ibm.com/products/cloudant

www.oracle.com/java/coherence

quasar.ai

Technical documentation

docs.atoti.io

cloud.ibm.com/docs/Cloudant

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

doc.quasar.ai/master

Developer

ActiveViam

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Oracle

quasardb

Initial release

2010

2007

2009

Current release

14.1, August 2023

3.14.1, January 2024

License

Commercial or Open Source

commercial

free versions available

commercial

Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses

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

C++

Server operating systems

hosted

All OS with a Java VM

BSD
Linux
OS X
Windows

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

integer and binary

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

with tags

SQL

Support of SQL

Multidimensional Expressions (MDX)

SQL-like query language

APIs and other access methods

RESTful HTTP/JSON API

JCache
JPA
RESTful HTTP API

HTTP API

Supported programming languages

C#
Java
JavaScript
Objective-C
PHP
Ruby

.Net
C++
Java

.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

Server-side scripts

Stored procedures

Python

View functions (Map-Reduce) in JavaScript

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

Sharding

consistent hashing

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes, with selectable consistency level

Source-replica replication with selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

with Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Eventual Consistency
Immediate 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

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Optimistic locking

yes

Durability

Support for making data persistent

yes

optionally

yes

by using LevelDB

In-memory capabilities

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

yes

Transient mode

User concepts

Access control

Access rights for users can be defined per database

authentification to access the cache via certificates or http basic authentication

Cryptographically strong user authentication and audit trail

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