DBMS > ArangoDB vs. Microsoft Azure Cosmos DB vs. RavenDB

System Properties Comparison ArangoDB vs. Microsoft Azure Cosmos DB vs. RavenDB

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Editorial information provided by DB-Engines

Name

Description

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

Globally distributed, horizontally scalable, multi-model database service

Open Source Operational and Transactional Enterprise NoSQL Document Database

Primary database model

Document store
Graph DBMS
Key-value store
Search engine

Document store
Graph DBMS
Key-value store
Wide column store

Document store

Secondary database models

Graph DBMS

experimental

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

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

Score	32.97
Rank	#25	Overall
	#3	Document stores
	#2	Graph DBMS
	#3	Key-value stores
	#3	Wide column stores

Score	3.80
Rank	#86	Overall
	#16	Document stores

Website

www.arangodb.com

azure.microsoft.com/services/cosmos-db

ravendb.net

Technical documentation

www.arangodb.com/docs/stable

docs.microsoft.com/azure/cosmos-db

ravendb.net/docs

Developer

ArangoDB Inc.

Microsoft

Hibernating Rhinos

Initial release

2012

2014

2010

Current release

3.7.2.1, September 2020

5.1, November 2020

License

Commercial or Open Source

Open Source

Apache Version 2; Commercial license (Enterprise) available

commercial

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

Linux
OS X
Windows

hosted

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

yes

JSON types

Secondary indexes

yes

All properties auto-indexed by default

yes

SQL

Support of SQL

SQL-like query language

SQL-like query language (RQL)

APIs and other access methods

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

DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API

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

Supported programming languages

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

.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python

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

Server-side scripts

Stored procedures

JavaScript

yes

Triggers

JavaScript

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

since version 2.0

Sharding

Implicit feature of the cloud service

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication with configurable replication factor

yes

Implicit feature of the cloud service

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

can be done with stored procedures in JavaScript

with Hadoop integration

Integration with Hadoop/HDInsight on Azure*

yes

MapReduce functions can be defined in Linq

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

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

Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency

Consistency level configurable on request level
Session Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

relationships in graphs

Transaction concepts

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

ACID

Multi-item ACID transactions with snapshot isolation within a partition

ACID, Cluster-wide transaction available

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

User concepts

Access control

yes

Access rights can be defined down to the item level

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.