DBMS > Amazon Redshift vs. Blazegraph vs. FoundationDB vs. Hazelcast vs. MonetDB

System Properties Comparison Amazon Redshift vs. Blazegraph vs. FoundationDB vs. Hazelcast vs. MonetDB

Editorial information provided by DB-Engines

Name

Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.

Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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

Large scale data warehouse service for use with business intelligence tools

High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.

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

A widely adopted in-memory data grid

A relational database management system that stores data in columns

Primary database model

Relational DBMS

Graph DBMS
RDF store

Document store info

supported via specific layer
Key-value store
Relational DBMS info

supported via specific SQL-layer

Key-value store

Relational DBMS

Secondary database models

Document store info

JSON support with IMDG 3.12

Document store

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

Score	20.27
Rank	#31	Overall
	#18	Relational DBMS

Score	0.64
Rank	#189	Overall
	#15	Graph DBMS
	#8	RDF stores

Score	0.70
Rank	#177	Overall
	#26	Document stores
	#31	Key-value stores
	#87	Relational DBMS

Score	8.67
Rank	#43	Overall
	#5	Key-value stores

Score	1.71
Rank	#120	Overall
	#58	Relational DBMS

Website

aws.amazon.com/redshift

Technical documentation

docs.aws.amazon.com/redshift

wiki.blazegraph.com

apple.github.io/foundationdb

hazelcast.org/imdg/docs

www.monetdb.org/Documentation

Developer

Amazon (based on PostgreSQL)

Blazegraph

FoundationDB

Hazelcast

MonetDB BV

Initial release

2012

2006

2013

2008

2004

Current release

2.1.5, March 2019

6.2.11, November 2019

4.0, February 2020

Nov2019-SP1, December 2019

License

Commercial or Open Source

commercial

Open Source info

extended commercial license available

Open Source info

Apache 2.0

Open Source info

Apache Version 2; commercial licenses available

Open Source info

Mozilla Public License 2.0

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++

Java

Server operating systems

hosted

Linux
OS X
Windows

All OS with a Java VM

FreeBSD
Linux
OS X
Solaris
Windows

Data scheme

yes

schema-free

schema-free info

some layers support schemas

schema-free

yes

Typing

predefined data types such as float or date

yes

RDF literal types

some layers support typing

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

the object must implement a serialization strategy

Secondary indexes

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

SPARQL is used as query language

supported in specific SQL layer only

SQL-like query language

yes

SQL 2003 with some extensions

APIs and other access methods

JDBC
ODBC

Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3

JCache
JPA
Memcached protocol
RESTful HTTP API

JDBC
native C library info

MAPI library (MonetDB application programming interface)
ODBC

Supported programming languages

All languages supporting JDBC/ODBC

.Net
C
C++
Java
JavaScript
PHP
Python
Ruby

.Net
C
C++
Go
Java
JavaScript info

Node.js
PHP
Python
Ruby
Swift

.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala

C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

Server-side scripts info

Stored procedures

user defined functions info

in Python

yes

in SQL-layer only

yes

Event Listeners, Executor Services

yes, in SQL, C, R

Triggers

yes

Events

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Sharding via remote tables

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Replicated Map

none

Master-slave replication available in experimental status

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Linearizable consistency

Immediate Consistency or Eventual Consistency selectable by user info

Raft Consensus Algorithm

Foreign keys info

Referential integrity

yes

informational only, not enforced by the system

yes

Relationships in Graphs

in SQL-layer only

yes

Transaction concepts info

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

ACID

one or two-phase-commit; repeatable reads; read commited

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

User concepts info

Access control

fine grained access rights according to SQL-standard

Security and Authentication via Web Application Container (Tomcat, Jetty)

Role-based access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Hazelcast is an in-memory computing platform that runs applications with extremely...
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Column-store In-memory optimized GeoSpatial support JSON document support
» more

Competitive advantages

Hazelcast has an optimized, multi-threaded architecture that enables the highest...
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Scalable architecture - vertical data organization and in-memory optimization guarantee...
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Typical application scenarios

Hazelcast powers many types of large-scale, data processing applications. A sample...
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Analytical database, Data warehouse, OLAP Data mining Scientific database
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Key customers

Hazelcast customers include 50 of the world’s largest financial services companies,...
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Numascale , Spinque , SecurActive , CHS , NOZHUP
» more

Licensing and pricing models

Hazelcast provides both open source and commercial software. The open source offering...
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Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more

News

Blazegraph 2.1.4 Release
29 August 2016

Blazegraph 2.1.2 Release
18 June 2016

Blazegraph 2.1.1 Release!
9 June 2016

Blazegraph 2.1.0 Release!
8 April 2016

Blazegraph 2.0.0 Release!
22 December 2015

Optimistic Concurrency Control in MonetDB
3 January 2020

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.