ArangoDB vs YugabyteDB

Overview

ArangoDB

Stacks273

Followers442

Votes192

YugabyteDB

Stacks50

Followers114

Votes1

GitHub Stars9.9K

Forks1.2K

ArangoDB vs YugabyteDB: What are the differences?

Introduction: ArangoDB and YugabyteDB are two popular databases that offer powerful features for different use cases. Understanding the key differences between these databases can help in making an informed decision for choosing the right database for a specific project.

Data Model: ArangoDB is a multi-model database that supports key-value, document, and graph data models, allowing developers to choose the best model for their data. On the other hand, YugabyteDB is a distributed SQL database that supports the relational data model, providing strong consistency and support for complex queries.
Consistency Model: ArangoDB offers multi-model, multi-workload capabilities with a flexible consistency model, allowing users to choose between strong consistency, eventual consistency, or a mix of both. In contrast, YugabyteDB provides strict serializability and strong consistency guarantees across distributed transactions, ensuring data integrity in complex distributed environments.
Distributed Architecture: ArangoDB provides built-in sharding and replication for high availability and scalability, allowing users to distribute data across multiple nodes in a cluster. YugabyteDB is built on a distributed architecture with automatic sharding, replication, and failover mechanisms, making it suitable for mission-critical applications requiring high availability and fault tolerance.
Query Language: ArangoDB uses a combination of AQL (ArangoDB Query Language) and declarative query language for querying data across different data models. In comparison, YugabyteDB supports standard SQL queries with extensions for distributed SQL, enabling developers to leverage their existing SQL skills and tools for interacting with the database.
Deployment Options: ArangoDB can be deployed on-premises, in the cloud, or using containers for flexibility in deployment options. YugabyteDB offers cloud-native deployment options with Kubernetes orchestration, allowing users to easily deploy, scale, and manage the database in a cloud-native environment.
Community and Ecosystem: ArangoDB has a strong open-source community and ecosystem with active contributors, plugins, and extensions, providing additional functionalities and integrations with popular tools. YugabyteDB also has a growing community and ecosystem with active development, integrations with cloud platforms, and support for various programming languages.

In Summary, understanding the key differences between ArangoDB and YugabyteDB in data model, consistency model, distributed architecture, query language, deployment options, and community ecosystem can help in making an informed decision for choosing the right database for specific project requirements.

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CLI (Node.js)

Manual

Detailed Comparison

ArangoDB	YugabyteDB
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.	An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.
multi-model nosql db; acid; transactions; javascript; database; nosql; sharding; replication; query language; joins; aql; documents; graphs; key-values; graphdb	Resilience; High Performance; Scalability; Enterprise Grade; Cloud-native; Kubernetes; PostgreSQL-compatible; Geo-Distributed; Hybrid Cloud
Statistics
GitHub Stars -	GitHub Stars 9.9K
GitHub Forks -	GitHub Forks 1.2K
Stacks 273	Stacks 50
Followers 442	Followers 114
Votes 192	Votes 1
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 1 Compatible with the result of pg_dump
Integrations
No integrations available	Golang PHP Java Python Spring Boot Apache Spark Node.js C# Kubernetes Ruby

What are some alternatives to ArangoDB, YugabyteDB?

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

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

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

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 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

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 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 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.

Related Comparisons

ArangoDB vs YugabyteDB: What are the differences?

Data Model: ArangoDB is a multi-model database that supports key-value, document, and graph data models, allowing developers to choose the best model for their data. On the other hand, YugabyteDB is a distributed SQL database that supports the relational data model, providing strong consistency and support for complex queries.
Consistency Model: ArangoDB offers multi-model, multi-workload capabilities with a flexible consistency model, allowing users to choose between strong consistency, eventual consistency, or a mix of both. In contrast, YugabyteDB provides strict serializability and strong consistency guarantees across distributed transactions, ensuring data integrity in complex distributed environments.
Distributed Architecture: ArangoDB provides built-in sharding and replication for high availability and scalability, allowing users to distribute data across multiple nodes in a cluster. YugabyteDB is built on a distributed architecture with automatic sharding, replication, and failover mechanisms, making it suitable for mission-critical applications requiring high availability and fault tolerance.
Query Language: ArangoDB uses a combination of AQL (ArangoDB Query Language) and declarative query language for querying data across different data models. In comparison, YugabyteDB supports standard SQL queries with extensions for distributed SQL, enabling developers to leverage their existing SQL skills and tools for interacting with the database.
Deployment Options: ArangoDB can be deployed on-premises, in the cloud, or using containers for flexibility in deployment options. YugabyteDB offers cloud-native deployment options with Kubernetes orchestration, allowing users to easily deploy, scale, and manage the database in a cloud-native environment.
Community and Ecosystem: ArangoDB has a strong open-source community and ecosystem with active contributors, plugins, and extensions, providing additional functionalities and integrations with popular tools. YugabyteDB also has a growing community and ecosystem with active development, integrations with cloud platforms, and support for various programming languages.

ArangoDB vs YugabyteDB

Overview