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  1. Stackups
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  4. Odm
  5. MariaDB vs Mongoose

MariaDB vs Mongoose

OverviewDecisionsComparisonAlternatives

Overview

Mongoose
Mongoose
Stacks2.4K
Followers1.4K
Votes56
MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K

MariaDB vs Mongoose: What are the differences?

<MySQL and MongoDB are popular database management systems used in web development. MariaDB is a fork of MySQL, while Mongoose is an object modeling tool for MongoDB. Here are the key differences between MariaDB and Mongoose.>

1. **Language Support**: MariaDB supports SQL queries for database operations, whereas Mongoose uses JavaScript to define schemas and models for MongoDB collections.
2. **Database Type**: MariaDB is a relational database management system, while Mongoose is designed for NoSQL databases, specifically MongoDB.
3. **Architecture**: MariaDB follows a traditional relational database architecture with tables, rows, and columns, while Mongoose uses JSON-like documents for data storage in MongoDB.
4. **Scalability**: MariaDB is horizontally scalable, meaning it can handle a large number of connections and requests, while Mongoose offers built-in support for horizontal scaling in MongoDB clusters.
5. **Transaction Support**: MariaDB has full support for transactions, allowing multiple operations to be grouped together and executed as a single unit, whereas MongoDB doesn't support multi-document transactions in versions prior to 4.0.
6. **Community Ecosystem**: MariaDB has a robust community and ecosystem with extensive documentation and integration options, while Mongoose's community is more focused on MongoDB-related tools and libraries.

In Summary, the key differences between MariaDB and Mongoose lie in their supported languages, database types, architectures, scalability options, transaction support, and community ecosystems.

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Advice on Mongoose, MariaDB

Omran
Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

582k views582k
Comments

Detailed Comparison

Mongoose
Mongoose
MariaDB
MariaDB

Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Mongoose provides a straight-forward, schema-based solution to modeling your application data and includes built-in type casting, validation, query building, business logic hooks and more, out of the box.

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.

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Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
Statistics
GitHub Stars
-
GitHub Stars
6.6K
GitHub Forks
-
GitHub Forks
1.9K
Stacks
2.4K
Stacks
16.5K
Followers
1.4K
Followers
12.8K
Votes
56
Votes
468
Pros & Cons
Pros
  • 17
    Well documented
  • 17
    Several bad ideas mixed together
  • 10
    JSON
  • 8
    Actually terrible documentation
  • 2
    Recommended and used by Valve. See steamworks docs
Cons
  • 3
    Model middleware/hooks are not user friendly
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
Integrations
Node.js
Node.js
MongoDB
MongoDB
No integrations available

What are some alternatives to Mongoose, MariaDB?

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.

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.

ArangoDB

ArangoDB

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.

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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