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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. ArangoDB vs CockroachDB

ArangoDB vs CockroachDB

OverviewComparisonAlternatives

Overview

ArangoDB
ArangoDB
Stacks273
Followers442
Votes192
CockroachDB
CockroachDB
Stacks216
Followers341
Votes0

ArangoDB vs CockroachDB: What are the differences?

ArangoDB and CockroachDB are both popular database management systems, each with its own set of features and capabilities. When deciding between the two options, it's essential to understand the key differences to make an informed decision.

  1. Data Model: One of the significant differences between ArangoDB and CockroachDB is their data models. ArangoDB is a multi-model database that supports key-value, document, and graph data models within a single database system. On the other hand, CockroachDB is a distributed SQL database that primarily focuses on providing ACID-compliant transactions and horizontal scalability.

  2. Scalability: CockroachDB is designed to be highly scalable and fault-tolerant by distributing data across multiple nodes, allowing it to handle vast amounts of data and traffic efficiently. In contrast, while ArangoDB also supports distributed deployments and sharding for scalability, it may not scale as seamlessly as CockroachDB, especially in distributed transaction scenarios.

  3. Consistency Model: Another key difference lies in their consistency models. CockroachDB emphasizes linearizability and serializability to provide stronger data consistency guarantees, ensuring that all read and write operations are consistent across the distributed cluster. ArangoDB, on the other hand, provides eventual consistency by default, which may be suitable for certain use cases but could lead to potential conflicts in transactions.

  4. Query Language: ArangoDB uses AQL (ArangoDB Query Language), which is a declarative query language similar to SQL but tailored for multi-model capabilities, allowing users to query documents, graphs, and key-value pairs effectively. In contrast, CockroachDB primarily uses SQL for querying data, making it easier for users already familiar with SQL syntax to interact with the database.

  5. High Availability and Durability: CockroachDB is known for its built-in high availability features, such as automatic data replication and fault tolerance, which ensure that data is always accessible even in the event of node failures. While ArangoDB also supports replication and fault tolerance, CockroachDB's architecture is specifically designed to handle these scenarios more efficiently.

  6. Use Cases: The choice between ArangoDB and CockroachDB often depends on specific use cases and requirements. ArangoDB may be more suitable for applications that benefit from a multi-model approach, such as those involving complex relationships and graph data. On the other hand, CockroachDB is better suited for applications that prioritize scalability, consistency, and distributed transactions, making it a preferred choice for mission-critical systems.

In Summary, understanding the key differences in data model, scalability, consistency, query language, high availability, and use cases can help in choosing the right database management system between ArangoDB and CockroachDB for your specific needs.

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Detailed Comparison

ArangoDB
ArangoDB
CockroachDB
CockroachDB

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.

CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.

multi-model nosql db; acid; transactions; javascript; database; nosql; sharding; replication; query language; joins; aql; documents; graphs; key-values; graphdb
sql; high availability; fast; acid;
Statistics
Stacks
273
Stacks
216
Followers
442
Followers
341
Votes
192
Votes
0
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
No community feedback yet

What are some alternatives to ArangoDB, CockroachDB?

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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