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  1. Stackups
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  4. Databases
  5. ArangoDB vs Neo4j

ArangoDB vs Neo4j

OverviewDecisionsComparisonAlternatives

Overview

ArangoDB
ArangoDB
Stacks273
Followers442
Votes192
Neo4j
Neo4j
Stacks1.2K
Followers1.4K
Votes351
GitHub Stars15.3K
Forks2.5K

ArangoDB vs Neo4j: What are the differences?

Introduction

ArangoDB and Neo4j are both popular graph databases that are used for managing and querying highly connected data. While they both serve similar purposes, there are key differences between the two.

  1. Data Model: ArangoDB is a multi-model database that supports a combination of graph, document, and key-value data models. It allows users to store data in different structures and access them through a unified query language called AQL. On the other hand, Neo4j is a pure graph database that focuses solely on the graph data model. It provides a native graph storage and processing engine, enabling efficient management of relationships between nodes.

  2. Scalability: ArangoDB is designed to scale horizontally across multiple machines through its cluster feature. It allows for automatic data distribution and replication, ensuring high availability and performance. Neo4j, on the other hand, has a master-slave replication model where a single server acts as the master and the others as slaves. This architecture limits the scalability of Neo4j compared to ArangoDB.

  3. Query Language: ArangoDB uses its own query language called AQL, which is a declarative language inspired by SQL. AQL supports various graph traversal and manipulation operations along with document-oriented queries. Neo4j, on the other hand, uses a query language called Cypher, specifically designed for graph pattern matching and querying. Cypher's syntax is highly expressive and intuitive for working with graph data.

  4. ACID Compliance: ArangoDB supports ACID (Atomicity, Consistency, Isolation, Durability) transactions at a document level, making it suitable for applications that require strong data consistency. Neo4j, on the other hand, focuses more on eventual consistency and allows for higher performance by relaxing some of the ACID constraints. This makes Neo4j a better choice for applications that prioritize scalability and performance over strict consistency.

  5. Community and Ecosystem: ArangoDB has a growing community and a rich ecosystem with a wide range of integrations, tools, and libraries. It supports popular programming languages like JavaScript, Python, and Go, making it easier for developers to work with it. Neo4j, on the other hand, has been around for a longer time and has a more established community and ecosystem. It has a larger number of third-party integrations and a wealth of resources and documentation available.

  6. Licensing: ArangoDB is available under both a free open-source license (Apache License 2.0) and a commercial license. This gives users the flexibility to choose the license that suits their needs. Neo4j also provides a free community edition under the GNU General Public License (GPLv3), but it requires purchasing a commercial license for production deployments. This difference in licensing can be a factor to consider depending on the requirements and budget of the project.

In summary, ArangoDB offers a multi-model database with support for graph, document, and key-value data models, scalable clustering, ACID compliance, and a flexible licensing model. Neo4j, on the other hand, is a pure graph database focused on the graph data model, with a powerful query language, robust community and ecosystem, and a different approach to consistency and scalability. Choosing between the two depends on the specific requirements and priorities of the project.

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Advice on ArangoDB, Neo4j

Jaime
Jaime

none at none

Aug 31, 2020

Needs advice

Hi, I want to create a social network for students, and I was wondering which of these three Oriented Graph DB's would you recommend. I plan to implement machine learning algorithms such as k-means and others to give recommendations and some basic data analyses; also, everything is going to be hosted in the cloud, so I expect the DB to be hosted there. I want the queries to be as fast as possible, and I like good tools to monitor my data. I would appreciate any recommendations or thoughts.

Context:

I released the MVP 6 months ago and got almost 600 users just from my university in Colombia, But now I want to expand it all over my country. I am expecting more or less 20000 users.

56.4k views56.4k
Comments
madiskou
madiskou

Jan 9, 2020

Needs advice

Hello, I am in the step of choosing between Neo4j and ArangoDB for my graph DB. I will use it with java spring boot project. I will have a graph of Processes/VMs/Clusters/Apps and their relationships . Can you tell me the main difference between this two solutions and why i choose one of them.

Thank you.

3.67k views3.67k
Comments

Detailed Comparison

ArangoDB
ArangoDB
Neo4j
Neo4j

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.

multi-model nosql db; acid; transactions; javascript; database; nosql; sharding; replication; query language; joins; aql; documents; graphs; key-values; graphdb
intuitive, using a graph model for data representation;reliable, with full ACID transactions;durable and fast, using a custom disk-based, native storage engine;massively scalable, up to several billion nodes/relationships/properties;highly-available, when distributed across multiple machines;expressive, with a powerful, human readable graph query language;fast, with a powerful traversal framework for high-speed graph queries;embeddable, with a few small jars;simple, accessible by a convenient REST interface or an object-oriented Java API
Statistics
GitHub Stars
-
GitHub Stars
15.3K
GitHub Forks
-
GitHub Forks
2.5K
Stacks
273
Stacks
1.2K
Followers
442
Followers
1.4K
Votes
192
Votes
351
Pros & Cons
Pros
  • 37
    Grahps and documents in one DB
  • 26
    Intuitive and rich query language
  • 25
    Good documentation
  • 25
    Open source
  • 21
    Joins for collections
Cons
  • 3
    Web ui has still room for improvement
  • 2
    No support for blueprints standard, using custom AQL
Pros
  • 69
    Cypher – graph query language
  • 61
    Great graphdb
  • 33
    Open source
  • 31
    Rest api
  • 27
    High-Performance Native API
Cons
  • 9
    Comparably slow
  • 4
    Can't store a vertex as JSON
  • 1
    Doesn't have a managed cloud service at low cost

What are some alternatives to ArangoDB, Neo4j?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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