DBMS > Amazon DynamoDB vs. Amazon Neptune vs. EventStoreDB

System Properties Comparison Amazon DynamoDB vs. Amazon Neptune vs. EventStoreDB

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Editorial information provided by DB-Engines

Name

Description

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

Fast, reliable graph database built for the cloud

Industrial-strength, open-source database solution built from the ground up for event sourcing.

Primary database model

Document store
Key-value store

Graph DBMS
RDF store

Event Store

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

Score	70.73
Rank	#16	Overall
	#2	Document stores
	#2	Key-value stores

Score	1.90
Rank	#119	Overall
	#8	Graph DBMS
	#5	RDF stores

Score	0.76
Rank	#195	Overall
	#1	Event Stores

Website

aws.amazon.com/dynamodb

aws.amazon.com/neptune

www.eventstore.com

Technical documentation

docs.aws.amazon.com/dynamodb

aws.amazon.com/neptune/developer-resources

developers.eventstore.com

Developer

Amazon

Event Store Limited

Initial release

2012

2017

2012

Current release

20.6.1, October 2020

License

Commercial or Open Source

commercial

free tier for a limited amount of database operations

commercial

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.

Event Store Cloud allows you to deploy a managed EventStoreDB cluster in AWS, GCP and Azure (coming soon).

Server operating systems

hosted

Linux
Windows

Data scheme

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

SQL

Support of SQL

APIs and other access methods

RESTful HTTP API

RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3

Supported programming languages

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

Triggers

yes

by integration with AWS Lambda

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

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

Foreign keys

Referential integrity

yes

Relationships in graphs

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

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

with encyption-at-rest

User concepts

Access control

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

More information provided by the system vendor

Specific characteristics

Guaranteed writes Great performance that scales Immutable data store High availability...
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Competitive advantages

EventStoreDB's core database server is used in production systems worldwide. The...
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Typical application scenarios

Event-sourced systems Event-driven architecture
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Key customers

EventStoreDB is used by companies across a whole range of industries. Here are just...
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Licensing and pricing models

Available as open-source software and licensed under the 3-clause BSD license ( https://github.com/EventStore/EventStore/blob/master/LICENSE.md...
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