ArangoDB vs CrateIO

Overview

ArangoDB

Stacks273

Followers442

Votes192

CrateIO

Stacks19

Followers39

Votes7

GitHub Stars4.3K

Forks581

ArangoDB vs CrateIO: What are the differences?

What is ArangoDB? A distributed open-source database with a flexible data model for documents, graphs, and key-values. 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.

What is CrateIO? The Distributed Database for Docker. Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

ArangoDB and CrateIO belong to "Databases" category of the tech stack.

Some of the features offered by ArangoDB are:

multi-model nosql db
acid
transactions

On the other hand, CrateIO provides the following key features:

Familiar SQL syntax
Semi-structured data
High availability, resiliency, and scalability in a distributed design

"Grahps and documents in one DB" is the primary reason why developers consider ArangoDB over the competitors, whereas "Simplicity" was stated as the key factor in picking CrateIO.

ArangoDB and CrateIO are both open source tools. It seems that ArangoDB with 8.22K GitHub stars and 576 forks on GitHub has more adoption than CrateIO with 2.49K GitHub stars and 333 GitHub forks.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on ArangoDB, CrateIO

gitgkk

Oct 19, 2021

Needs adviceon

TinyMCE

JSON

ArangoDB

Hello All, I'm building an app that will enable users to create documents using ckeditor or TinyMCE editor. The data is then stored in a database and retrieved to display to the user, these docs can contain image data also. The number of pages generated for a single document can go up to 1000. Therefore by design, each page is stored in a separate JSON. I'm wondering which database is the right one to choose between ArangoDB and PostgreSQL. Your thoughts, advice please. Thanks, Kashyap

64.3k views64.3k

Comments

Detailed Comparison

ArangoDB	CrateIO
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.	Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.
multi-model nosql db; acid; transactions; javascript; database; nosql; sharding; replication; query language; joins; aql; documents; graphs; key-values; graphdb	Familiar SQL syntax;Semi-structured data;High availability, resiliency, and scalability in a distributed design;Powerful Lucene based full-text search
Statistics
GitHub Stars -	GitHub Stars 4.3K
GitHub Forks -	GitHub Forks 581
Stacks 273	Stacks 19
Followers 442	Followers 39
Votes 192	Votes 7
Pros & Cons
Pros 37 Grahps and documents in one DB 26 Intuitive and rich query language 25 Open source 25 Good documentation 21 Joins for collections Cons 3 Web ui has still room for improvement 2 No support for blueprints standard, using custom AQL	Pros 3 Simplicity 2 Open source 2 Scale
Integrations
No integrations available	Docker

What are some alternatives to ArangoDB, CrateIO?

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

Some of the features offered by ArangoDB are:

multi-model nosql db
acid
transactions

On the other hand, CrateIO provides the following key features:

Familiar SQL syntax
Semi-structured data
High availability, resiliency, and scalability in a distributed design

"Grahps and documents in one DB" is the primary reason why developers consider ArangoDB over the competitors, whereas "Simplicity" was stated as the key factor in picking CrateIO.

ArangoDB vs CrateIO