DBMS > Amazon DynamoDB vs. HyperSQL vs. Neo4j vs. Oracle Rdb vs. Yanza

System Properties Comparison Amazon DynamoDB vs. HyperSQL vs. Neo4j vs. Oracle Rdb vs. Yanza

Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings

Time Series DBMS for IoT Applications

Primary database model

Document store
Key-value store

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

Score	74.45
Rank	#17	Overall
	#3	Document stores
	#2	Key-value stores

Score	3.23
Rank	#93	Overall
	#48	Relational DBMS

Score	44.89
Rank	#21	Overall
	#1	Graph DBMS

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Website

aws.amazon.com/dynamodb

hsqldb.org

neo4j.com

www.oracle.com/database/technologies/related/rdb.html

yanza.com

Technical documentation

docs.aws.amazon.com/dynamodb

hsqldb.org/web/hsqlDocsFrame.html

neo4j.com/docs

www.oracle.com/database/technologies/related/rdb-doc.html

Developer

Amazon

Neo4j, Inc.

Oracle, originally developed by Digital Equipment Corporation (DEC)

Yanza

Initial release

2012

2001

2007

1984

2015

Current release

2.7.2, June 2023

5.20, May 2024

7.4.1.1, 2021

License

Commercial or Open Source

commercial

free tier for a limited amount of database operations

Open Source

based on BSD license

Open Source

GPL version3, commercial licenses available

commercial

free version available

Cloud-based only

Only available as a cloud service

yes

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

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

Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.

Implementation language

Java

Java, Scala

Server operating systems

hosted

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

Linux

Can also be used server-less as embedded Java database.
OS X
Solaris
Windows

HP Open VMS

Windows

Data scheme

schema-free

yes

schema-free and schema-optional

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

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

yes

pluggable indexing subsystem, by default Apache Lucene

yes

SQL

Support of SQL

yes

APIs and other access methods

RESTful HTTP API

HTTP API

JDBC via HTTP
JDBC
ODBC

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

HTTP API

Supported programming languages

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

All languages supporting JDBC/ODBC
Java

.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala

any language that supports HTTP calls

Server-side scripts

Stored procedures

Java, SQL

yes

User defined Procedures and Functions

Triggers

yes

by integration with AWS Lambda

yes

via event handler

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

yes using Neo4j Fabric

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Causal Clustering using Raft protocol

available in in Enterprise Version only

none

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be specified for read operations

Immediate Consistency

Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode

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

ACID across one or more tables within a single AWS account and region

ACID

yes, on a single node

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

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

Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)

More information provided by the system vendor

Specific characteristics

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Competitive advantages

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Typical application scenarios

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Key customers

Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
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Market metrics

Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
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Licensing and pricing models

GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more

News

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4 June 2024

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4 June 2024

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1 June 2024

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22 May 2024

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