DBMS > ArcadeDB vs. Couchbase vs. Neo4j

System Properties Comparison ArcadeDB vs. Couchbase vs. Neo4j

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Editorial information provided by DB-Engines

Name

Description

Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten

A distributed document store with a powerful search engine and in-built operational and analytical capabilities

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

Primary database model

Document store
Graph DBMS
Key-value store
Time Series DBMS

in next version

Document store

Graph DBMS

Secondary database models

Key-value store

originating from the former Membase product and supporting the Memcached protocol
Spatial DBMS

using the Geocouch extension

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

Score	0.36
Rank	#332	Overall
	#45	Document stores
	#32	Graph DBMS
	#47	Key-value stores
	#30	Time Series DBMS

Score	24.42
Rank	#31	Overall
	#5	Document stores

Score	51.10
Rank	#22	Overall
	#1	Graph DBMS

Website

arcadedb.com

www.couchbase.com

neo4j.com

Technical documentation

docs.arcadedb.com

docs.couchbase.com

neo4j.com/docs

Developer

Arcade Data

Couchbase, Inc.

Neo4j, Inc.

Initial release

2021

2011

2007

Current release

September 2021

Server: 7.0, July 2021; Mobile: 3, February 2022; Couchbase Capella, October 2021

5.8, May 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache version 2; Commercial licenses also available

Open Source

GPL version3, commercial licenses available

Cloud-based only

Only available as a cloud service

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

C, C++, Go and Erlang

Java, Scala

Server operating systems

All OS with a Java VM

Linux
OS X
Windows

Linux

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

Data scheme

schema-free

schema-free and schema-optional

Typing

predefined data types such as float or date

yes

String, Boolean, Number

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

SQL

Support of SQL

SQL-like query language, no joins

Declarative query language (N1QL) that extends ANSI SQL to JSON. First commercial implementation of SQL++.

APIs and other access methods

JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin

Native language bindings for CRUD, Query, Search and Analytics APIs

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

Supported programming languages

Java

.Net
C
Go
Java
JavaScript

Node.js
PHP
Python
Ruby
Scala

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

Server-side scripts

Stored procedures

Functions and timers in JavaScript

yes

User defined Procedures and Functions

Triggers

yes

via the TAP protocol

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes using Neo4j Fabric

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication

including cross data center replication
Source-replica replication

Causal Clustering using Raft protocol

available in in Enterprise Version only

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

selectable on a per-operation basis

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

Foreign keys

Referential integrity

yes

relationship 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

Ephemeral buckets

User concepts

Access control

User and Administrator separation with password-based and LDAP integrated Authentication

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

More information provided by the system vendor

Specific characteristics

Neo4j delivers graph technology that has been battle tested for performance and scale...
» more

Competitive advantages

Neo4j is the market leader, graph database category creator, and the most widely...
» more

Typical application scenarios

Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more

Key customers

Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more

Market metrics

Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more

Licensing and pricing models

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

News

This Week in Neo4j: Advanced Cypher, Data Analysis, Graphyx, GraphQL APIs, and More
27 May 2023

This Week in Neo4j: Bluesky, Process Tempo, GraphGPT, D3.js, Pathfinding, and More
20 May 2023

This Week in Neo4j: Twitch, Generative AI, Star Wars, AWS, ArcGIS, and More
13 May 2023

Neo4j AuraDB Enterprise Now Available on Microsoft Azure
9 May 2023

Native vs. Non-Native Graph Database
8 May 2023

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