DBMS > Alibaba Cloud PolarDB vs. Amazon Redshift vs. ArangoDB vs. Blazegraph

System Properties Comparison Alibaba Cloud PolarDB vs. Amazon Redshift vs. ArangoDB vs. Blazegraph

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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

A cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.

Large scale data warehouse service for use with business intelligence tools

Native multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.

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

Primary database model

Relational DBMS

Document store
Graph DBMS
Key-value store
Search engine

Graph DBMS
RDF store

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

Score	0.66
Rank	#235	Overall
	#108	Relational DBMS

Score	16.88
Rank	#35	Overall
	#22	Relational DBMS

Score	3.26
Rank	#88	Overall
	#15	Document stores
	#5	Graph DBMS
	#12	Key-value stores
	#10	Search engines

Score	0.81
Rank	#213	Overall
	#19	Graph DBMS
	#8	RDF stores

Website

www.alibabacloud.com/product/polardb

aws.amazon.com/redshift

arangodb.com

blazegraph.com

Technical documentation

www.alibabacloud.com/help/en/polardb/product-overview

docs.aws.amazon.com/redshift

docs.arangodb.com

wiki.blazegraph.com

Social network pages

Developer

Alibaba

Amazon (based on PostgreSQL)

ArangoDB Inc.

Blazegraph

Initial release

2012

2006

Current release

3.11.5, November 2023

2.1.5, March 2019

License

Commercial or Open Source

commercial

Open Source

Apache Version 2; Commercial license (Enterprise) available

Open Source

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.

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Implementation language

C++

Java

Server operating systems

hosted

Linux
OS X
Windows

Data scheme

yes

schema-free

automatically recognizes schema within a collection

schema-free

Typing

predefined data types such as float or date

yes

string, double, boolean, list, hash

yes

RDF literal types

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.

yes

Secondary indexes

yes

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

SPARQL is used as query language

APIs and other access methods

JDBC
ODBC

AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream

Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3

Supported programming languages

Java
Python

All languages supporting JDBC/ODBC

C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust

.Net
C
C++
Java
JavaScript
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

user defined functions

in Python

JavaScript

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

since version 2.0

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

Source-replica replication with configurable replication factor

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

can be done with stored procedures in JavaScript

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

configurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

yes

informational only, not enforced by the system

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

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

yes

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

More information provided by the system vendor

Specific characteristics

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Competitive advantages

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Consolidation: As a native multi-model database, can be used as a full blown document...
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Typical application scenarios

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Key customers

Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
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Market metrics

ArangoDB is the leading native multi-model database with over 11,000 stargazers on...
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Licensing and pricing models

Specification and pricing. You can use either of the following billing methods to...
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Very permissive Apache 2 License for Community Edition & commercial licenses are...
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