DBMS > Amazon DocumentDB vs. Drizzle vs. WakandaDB

System Properties Comparison Amazon DocumentDB vs. Drizzle vs. WakandaDB

Please select another system to include it in the comparison.

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

Fast, scalable, highly available, and fully managed MongoDB-compatible database service

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

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Document store

Relational DBMS

Object oriented DBMS

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

Score	1.80
Rank	#132	Overall
	#23	Document stores

Score	0.02
Rank	#342	Overall
	#18	Object oriented DBMS

Website

aws.amazon.com/documentdb

wakanda.github.io

Technical documentation

aws.amazon.com/documentdb/resources

doc.wakanda.org/home2.en.html#/Datastore/Introduction.200-588937.en.html

Developer

Drizzle project, originally started by Brian Aker

Wakanda SAS

Initial release

2019

2008

2012

Current release

7.2.4, September 2012

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

Open Source

GNU GPL

Open Source

AGPLv3, extended commercial license available

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++

C++, JavaScript

Server operating systems

hosted

FreeBSD
Linux
OS X

Linux
OS X
Windows

Data scheme

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

APIs and other access methods

proprietary protocol using JSON (MongoDB compatible)

JDBC

RESTful HTTP API

Supported programming languages

Go
Java
JavaScript (Node.js)
PHP
Python

C
C++
Java
PHP

JavaScript

Server-side scripts

Stored procedures

yes

Triggers

hooks for callbacks inside the server can be used.

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

typically not used, however similar functionality with DBRef possible

yes

Transaction concepts

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

Atomic single-document operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

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.

User concepts

Access control

Access rights for users and roles

Pluggable authentication mechanisms

e.g. LDAP, HTTP

yes

More information provided by the system vendor

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Recent citations in the news

AWS DocumentDB not MongoDB-compatible, says MongoDB Inc
6 December 2021, The Register

AWS, MongoDB database collision stirs open source tensions
11 January 2019, TechTarget

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

Building modern applications with a JSON document database: An introduction to Amazon DocumentDB with MongoDB compatibility
12 April 2022, Database Trends and Applications

Introduction to Amazon DocumentDB With MongoDB Compatibility
19 October 2020, AiThority

provided by Google News

Job opportunities

Senior Software Development Engineer, Amazon DocumentDB
Amazon.com Services LLC, Seattle, WA

Senior Product Manager Tech ES, Amazon DocumentDB
Amazon Dev Center U.S., Inc., East Palo Alto, CA

General Manager, DocumentDB
Amazon Dev Center U.S., Inc., Seattle, WA

Data Engineer III
American Express Global Business Travel, Seattle, WA

Software Development Engineer – DocumentDB (with MongoDB compatibility)
Amazon Dev Center U.S., Inc., Seattle, WA

jobs by

Share this page