DBMS > Amazon Neptune vs. Blazegraph vs. Infobright vs. Realm

System Properties Comparison Amazon Neptune vs. Blazegraph vs. Infobright vs. Realm

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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.

Description

Fast, reliable graph database built for the cloud

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

High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

Primary database model

Graph DBMS
RDF store

Relational DBMS

Document store

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

Score	2.87
Rank	#105	Overall
	#6	Graph DBMS
	#4	RDF stores

Score	0.85
Rank	#188	Overall
	#17	Graph DBMS
	#8	RDF stores

Score	1.03
Rank	#174	Overall
	#84	Relational DBMS

Score	9.92
Rank	#49	Overall
	#8	Document stores

Website

aws.amazon.com/neptune

blazegraph.com

ignitetech.com/softwarelibrary/infobrightdb

realm.io

Technical documentation

aws.amazon.com/neptune/developer-resources

wiki.blazegraph.com

realm.io/docs

Developer

Amazon

Blazegraph

Ignite Technologies Inc.; formerly InfoBright Inc.

Realm, acquired by MongoDB in May 2019

Initial release

2017

2006

2005

2014

Current release

2.1.5, March 2019

License

Commercial or Open Source

commercial

Open Source

extended commercial license available

commercial

The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016

Open Source

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

Server operating systems

hosted

Linux
OS X
Windows

Linux
Windows

Android
Backend: server-less
iOS
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

RDF literal types

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

Knowledge Grid Technology used instead

yes

SQL

Support of SQL

SPARQL is used as query language

yes

APIs and other access methods

RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3

Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3

ADO.NET
JDBC
ODBC

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

.Net
C
C++
Java
JavaScript
PHP
Python
Ruby

.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

.Net
Java

with Android only
Objective-C
React Native
Swift

Server-side scripts

Stored procedures

yes

runs within the applications so server-side scripts are unnecessary

Triggers

yes

Change Listeners

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 high availability, asynchronous replication for up to 15 read replicas

yes

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Relationships in Graphs

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

with encyption-at-rest

yes

In-memory capabilities

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

yes

In-Memory realm

User concepts

Access control

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

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

fine grained access rights according to SQL-standard

exploiting MySQL or PostgreSQL frontend capabilities

yes

More information provided by the system vendor

Specific characteristics

Now a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more

Competitive advantages

Realm ensures offline-first functionality, meaning apps run smoothly and deliver...
» more

Typical application scenarios

Mobile Consumer Apps First-Line Worker Apps
» more

Key customers

Cathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more

Market metrics

Used by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more

Licensing and pricing models

Realm database is licensed under the Apache License v2.0.
» more

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

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