DBMS > Drizzle vs. EventStoreDB vs. IBM Cloudant vs. NuoDB

System Properties Comparison Drizzle vs. EventStoreDB vs. IBM Cloudant vs. NuoDB

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Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

Industrial-strength, open-source database solution built from the ground up for event sourcing.

Database as a Service offering based on Apache CouchDB

NuoDB is a webscale distributed database that supports SQL and ACID transactions

Primary database model

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

Score	1.19
Rank	#173	Overall
	#1	Event Stores

Score	2.75
Rank	#104	Overall
	#19	Document stores

Score	0.94
Rank	#197	Overall
	#92	Relational DBMS

Website

www.eventstore.com

www.ibm.com/products/cloudant

www.3ds.com/nuodb-distributed-sql-database

Technical documentation

developers.eventstore.com

cloud.ibm.com/docs/Cloudant

doc.nuodb.com

Developer

Drizzle project, originally started by Brian Aker

Event Store Limited

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Dassault Systèmes

originally NuoDB, Inc.

Initial release

2008

2012

2010

2013

Current release

7.2.4, September 2012

21.2, February 2021

License

Commercial or Open Source

Open Source

GNU GPL

Open Source

commercial

limited edition free

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

C++

Erlang

C++

Server operating systems

FreeBSD
Linux
OS X

Linux
Windows

hosted

Amazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows

Data scheme

yes

schema-free

yes

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

SQL

Support of SQL

yes

with proprietary extensions

yes

APIs and other access methods

JDBC

RESTful HTTP/JSON API

ADO.NET
JDBC
ODBC

Supported programming languages

C
C++
Java
PHP

C#
Java
JavaScript
Objective-C
PHP
Ruby

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

Server-side scripts

Stored procedures

View functions (Map-Reduce) in JavaScript

Java, SQL

Triggers

hooks for callbacks inside the server can be used.

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

data is dynamically stored/cached on the nodes where it is read/written

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

Managed transparently by NuoDB

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

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

atomic operations within a document possible

ACID

tunable commit protocol

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

yes

MVCC

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

Temporary table

User concepts

Access control

Pluggable authentication mechanisms

e.g. LDAP, HTTP

Access rights for users can be defined per database

Standard SQL roles/ privileges, Administrative Users

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