DBMS > Amazon DocumentDB vs. Apache Drill vs. BigchainDB vs. FoundationDB vs. MaxDB

System Properties Comparison Amazon DocumentDB vs. Apache Drill vs. BigchainDB vs. FoundationDB vs. MaxDB

Editorial information provided by DB-Engines

Name

Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.

Description

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

Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage

BigchainDB is scalable blockchain database offering decentralization, immutability and native assets

Ordered key-value store. Core features are complimented by layers.

A robust and reliable RDBMS optimized to run all major SAP solutions

Primary database model

Document store

Document store
Relational DBMS

Document store

supported via specific layer
Key-value store
Relational DBMS

supported via specific SQL-layer

Relational DBMS

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

Score	1.91
Rank	#132	Overall
	#24	Document stores

Score	1.95
Rank	#127	Overall
	#23	Document stores
	#60	Relational DBMS

Score	0.79
Rank	#212	Overall
	#36	Document stores

Score	1.03
Rank	#190	Overall
	#31	Document stores
	#28	Key-value stores
	#89	Relational DBMS

Score	2.32
Rank	#112	Overall
	#55	Relational DBMS

Website

aws.amazon.com/documentdb

drill.apache.org

www.bigchaindb.com

github.com/apple/foundationdb

maxdb.sap.com

Technical documentation

aws.amazon.com/documentdb/resources

drill.apache.org/docs

bigchaindb.readthedocs.io/en/latest

apple.github.io/foundationdb

maxdb.sap.com/documentation

Developer

Apache Software Foundation

FoundationDB

SAP, acquired from Software AG (Adabas-D) in 1997

Initial release

2019

2012

2016

2013

1984

Current release

1.20.3, January 2023

6.2.28, November 2020

7.9.10.12, February 2024

License

Commercial or Open Source

commercial

Open Source

Apache Version 2

Open Source

AGPL v3

Open Source

Apache 2.0

commercial

Limited community 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

Python

C++

Server operating systems

hosted

Linux
OS X
Windows

Linux

Linux
OS X
Windows

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

schema-free

some layers support schemas

yes

Typing

predefined data types such as float or date

yes

some layers support typing

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

SQL SELECT statement is SQL:2003 compliant

supported in specific SQL layer only

yes

APIs and other access methods

proprietary protocol using JSON (MongoDB compatible)

JDBC
ODBC
RESTful HTTP API

CLI Client
RESTful HTTP API

ADO.NET
JDBC
ODBC
WebDAV

Supported programming languages

Go
Java
JavaScript (Node.js)
PHP
Python

C++

Go
Haskell
Java
JavaScript
Python
Ruby

.Net
C
C++
Go
Java
JavaScript

Node.js
PHP
Python
Ruby
Swift

.Net
C#
Java
Perl
PHP
Python

Server-side scripts

Stored procedures

user defined functions

in SQL-layer only

yes

Triggers

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

selectable replication factor

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Linearizable consistency

Immediate Consistency

Foreign keys

Referential integrity

typically not used, however similar functionality with DBRef possible

in SQL-layer only

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

Depending on the underlying data source

yes,with MongoDB ord RethinkDB

yes

In-memory capabilities

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

Depending on the underlying data source

User concepts

Access control

Access rights for users and roles

Depending on the underlying data source

yes

fine grained access rights according to SQL-standard

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