DBMS > Amazon DynamoDB vs. ArangoDB vs. RavenDB

System Properties Comparison Amazon DynamoDB vs. ArangoDB vs. RavenDB

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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

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

Open Source Operational and Transactional Enterprise NoSQL Document Database

Primary database model

Document store
Key-value store

Document store
Graph DBMS
Key-value store
Search engine

Document store

Secondary database models

Graph DBMS

experimental

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

Score	69.14
Rank	#17	Overall
	#2	Document stores
	#2	Key-value stores

Score	5.29
Rank	#69	Overall
	#11	Document stores
	#4	Graph DBMS
	#11	Key-value stores
	#8	Search engines

Score	3.80
Rank	#86	Overall
	#16	Document stores

Website

aws.amazon.com/dynamodb

www.arangodb.com

ravendb.net

Technical documentation

docs.aws.amazon.com/dynamodb

www.arangodb.com/docs/stable

ravendb.net/docs

Developer

Amazon

ArangoDB Inc.

Hibernating Rhinos

Initial release

2012

2010

Current release

3.7.2.1, September 2020

5.1, November 2020

License

Commercial or Open Source

commercial

free tier for a limited amount of database operations

Open Source

Apache Version 2; Commercial license (Enterprise) available

Open Source

AGPL version 3, 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.

ArangoDB Oasis –The Managed Cloud Service of ArangoDB. Oasis provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.

RavenDB Cloud: Deploy a fully managed RavenDB Cloud Database in minutes on AWS, Azure, and GCP. HIPPA compliant. Enjoy a globally distributed cluster with enterprise-grade security and reduce cloud storage costs by 50% with Native data compression.

Implementation language

C++

Server operating systems

hosted

Linux
OS X
Windows

Linux
macOS
Raspberry Pi
Windows

Data scheme

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

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language (RQL)

APIs and other access methods

RESTful HTTP API

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

.NET Client API
Java Client API
Python Client API
RESTful HTTP API

Supported programming languages

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

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

.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby

Server-side scripts

Stored procedures

JavaScript

yes

Triggers

yes

by integration with AWS Lambda

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

since version 2.0

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication with configurable replication factor

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

can be done with stored procedures in JavaScript

yes

MapReduce functions can be defined in Linq

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be specified for read operations

Eventual Consistency

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

Eventual 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

ACID, Cluster-wide transaction available

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

User concepts

Access control

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

yes

Access control on document level using the Authorization Bundle

More information provided by the system vendor

Specific characteristics

One Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more

RavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more

Competitive advantages

Consolidation: As a native multi-model database, can be used as a full blown document...
» more

RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more

Typical application scenarios

Native multi-model in ArangoDB is being used for a broad range of projects across...
» more

IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more

Key customers

Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more

Toyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more

Market metrics

ArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more

2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more

Licensing and pricing models

Very permissive Apache 2 License for Community Edition & commercial licenses are...
» more

RavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more

News

State of the Art Preprocessing and Filtering with ArangoSearch
10 December 2020

ArangoML Series: Intro to NetworkX Adapter
17 November 2020

ArangoML Part 4: Detecting Covariate Shift in Datasets
5 November 2020

ArangoML Part 3: Bootstrapping and Bias Variance
24 October 2020

ArangoML Part 2: Basic Arangopipe Workflow
9 October 2020

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