DBMS > Amazon Neptune vs. Blueflood vs. Infobright vs. Oracle Rdb

System Properties Comparison Amazon Neptune vs. Blueflood vs. Infobright vs. Oracle Rdb

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Editorial information provided by DB-Engines

Name

Description

Fast, reliable graph database built for the cloud

Scalable TimeSeries DBMS based on Cassandra

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

Primary database model

Graph DBMS
RDF store

Time Series DBMS

Relational DBMS

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	0.00
Rank	#356	Overall
	#32	Time Series DBMS

Score	1.03
Rank	#174	Overall
	#84	Relational DBMS

Score	1.16
Rank	#161	Overall
	#75	Relational DBMS

Website

aws.amazon.com/neptune

blueflood.io

ignitetech.com/softwarelibrary/infobrightdb

www.oracle.com/technetwork/database/database-technologies/rdb/overview/index.html

Technical documentation

aws.amazon.com/neptune/developer-resources

github.com/rackerlabs/blueflood/wiki

Developer

Amazon

Rackspace

Ignite Technologies Inc.; formerly InfoBright Inc.

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

2017

2013

2005

1984

Current release

7.4.1.1, 2021

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

commercial

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

commercial

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

Linux
Windows

HP Open VMS

Data scheme

schema-free

predefined scheme

yes

Flexible Schema (defined schema, partial schema, schema free)

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

Knowledge Grid Technology used instead

yes

SQL

Support of SQL

yes

APIs and other access methods

RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3

HTTP REST

ADO.NET
JDBC
ODBC

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

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

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on Cassandra

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

selectable replication factor

based on Cassandra

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts

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

ACID

yes, on a single node

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

User concepts

Access control

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

fine grained access rights according to SQL-standard

exploiting MySQL or PostgreSQL frontend capabilities

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More resources

Recent citations in the news

Data-as-a-Service Market: 47.21% YOY growth achieved in 2021 | Driven by growing amount of data | Technavio
24 June 2022, PR Newswire

Amazon Neptune update: Machine learning, data science, and the future of graph databases
30 July 2021, ZDNet

Here's how you can predict graphs accurately, quickly, and securely with Amazon Neptune
2 November 2021, YourStory

Amazon Neptune
22 March 2022, TechTarget

Catching up with Amazon Neptune
26 November 2019, ZDNet

provided by Google News

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