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  1. Stackups
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  5. ArangoDB vs ToroDB

ArangoDB vs ToroDB

OverviewDecisionsComparisonAlternatives

Overview

ArangoDB
ArangoDB
Stacks273
Followers442
Votes192
ToroDB
ToroDB
Stacks0
Followers7
Votes0
GitHub Stars12
Forks2

ArangoDB vs ToroDB: What are the differences?

ArangoDB vs ToroDB

Introduction: ArangoDB and ToroDB are both powerful database management systems, but they have key differences that set them apart.

1. **Data Model**: ArangoDB is a multi-model database that supports key-value, document, and graph data models in a single database engine, while ToroDB is exclusively designed as a relational database management system, focusing on traditional SQL data modeling.
2. **Scalability**: ArangoDB offers horizontal scalability through sharding and replication, making it efficient for handling large volumes of data and high traffic loads. In contrast, ToroDB may have limitations in terms of scalability due to its relational database architecture.
3. **Language Support**: ArangoDB supports multiple query languages like AQL (ArangoDB Query Language) and JavaScript, providing flexibility to developers, whereas ToroDB primarily uses SQL for querying data, which may limit the scope of query operations.
4. **Ease of Use**: ArangoDB is known for its user-friendly interface and comprehensive documentation, making it easier for developers to get started with the database. ToroDB, on the other hand, may have a steeper learning curve for those accustomed to traditional SQL databases.
5. **Community and Support**: ArangoDB has a vibrant open-source community and strong support from the developers, ensuring regular updates, bug fixes, and community-driven extensions. ToroDB, being a newer player in the database market, may have a smaller community and limited support resources available.
6. **ACID Compliance**: ArangoDB is ACID compliant, guaranteeing data consistency, integrity, and reliability in transactions, while ToroDB may have varying levels of ACID compliance based on its underlying relational database design.

In Summary, ArangoDB's multi-model flexibility, scalability, and strong community support set it apart from ToroDB's focus on traditional SQL data modeling and potential scalability limitations.

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Advice on ArangoDB, ToroDB

gitgkk
gitgkk

Oct 19, 2021

Needs adviceonTinyMCETinyMCEJSONJSONArangoDBArangoDB

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
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Detailed Comparison

ArangoDB
ArangoDB
ToroDB
ToroDB

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.

ToroDB is an open source, document-oriented, JSON database that runs on top of PostgreSQL, providing storage and I/O savings and ACID semantics. ToroDB is MongoDB-compatible, so you can use Mongo clients to connect to it.

multi-model nosql db; acid; transactions; javascript; database; nosql; sharding; replication; query language; joins; aql; documents; graphs; key-values; graphdb
Document-oriented (JSON); Store data reliabily and durably with PostgreSQL; Use MongoDB clients to connect to it; High concurrency and I/O and storage savings; ACID semantics: atomic batch insertions; ACID semantics: queries run fully isolated;Open source, AGPLv3 licensed
Statistics
GitHub Stars
-
GitHub Stars
12
GitHub Forks
-
GitHub Forks
2
Stacks
273
Stacks
0
Followers
442
Followers
7
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
Integrations
No integrations available
PostgreSQL
PostgreSQL

What are some alternatives to ArangoDB, ToroDB?

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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