StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. MySQL vs NeDB

MySQL vs NeDB

OverviewDecisionsComparisonAlternatives

Overview

MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K
NeDB
NeDB
Stacks37
Followers85
Votes0
GitHub Stars13.6K
Forks1.0K

MySQL vs NeDB: What are the differences?

Introduction

In this article, we will discuss the key differences between MySQL and NeDB. MySQL is a popular relational database management system (RDBMS) that is widely used for storing and managing structured data. On the other hand, NeDB is a lightweight embedded database that is written entirely in JavaScript and is designed to be used within Node.js applications.

  1. Storage and SQL Compatibility: MySQL uses a traditional client-server model and stores data in a standalone server, while NeDB is an embedded database that stores data directly on the local filesystem. MySQL supports a wide range of advanced SQL features and can handle large datasets efficiently, making it suitable for high traffic websites and enterprise applications. NeDB, on the other hand, is a lightweight and simple database that offers basic querying capabilities, making it ideal for small to medium-sized applications where simplicity and ease of use are paramount.

  2. Scalability and Performance: MySQL is designed to handle large datasets and can scale horizontally by adding more servers to the cluster. It includes features like replication, partitioning, and clustering for improved scalability. Additionally, MySQL's query optimizer and indexing capabilities enable it to execute complex queries efficiently. NeDB, being an embedded database, has limitations in terms of scalability and performance. It is best suited for single-node applications with moderate data volumes.

  3. Data Integrity and Reliability: MySQL provides multiple levels of data integrity and reliability. It supports transactions, referential integrity, and various isolation levels to ensure data consistency. MySQL also offers features like backups, replication, and point-in-time recovery for data reliability. NeDB, on the other hand, does not support transactions or provide the same level of data integrity and reliability as MySQL. It is more focused on simplicity and ease of use rather than advanced data management features.

  4. Language and Ecosystem: MySQL is primarily used with the SQL language for data manipulation and querying. It has extensive support for various programming languages and frameworks, making it a versatile choice for developers. NeDB, being a JavaScript-based database, offers a convenient and seamless integration with Node.js applications. It allows developers to store and access data using JavaScript objects and provides a simple and intuitive API.

  5. Community and Support: MySQL has a large and active community of developers and users, which means that there is a wealth of documentation, tutorials, and forums available for support. It is backed by Oracle Corporation and has a long history of development and maintenance. NeDB, being a relatively new and niche database, may not have the same level of community support. However, it has a dedicated group of users and contributors, and its GitHub repository provides documentation and issue tracking.

  6. Licensing and Cost: MySQL is available under the GNU General Public License (GPL) and offers a free community edition. It also provides a commercial edition with additional features and support. NeDB, on the other hand, is open source and released under the MIT license, which allows users to freely use, modify, and distribute it without any licensing costs.

In summary, MySQL is a powerful and feature-rich RDBMS that excels in scalability, performance, and advanced data management capabilities. NeDB, on the other hand, is a lightweight embedded database that focuses on simplicity and ease of use. Each database has its own strengths and use cases, and the choice between them depends on the specific requirements of the application.

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)
or
Manual

Advice on MySQL, NeDB

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k
Comments
Ido
Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k
Comments
Navraj
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k
Comments

Detailed Comparison

MySQL
MySQL
NeDB
NeDB

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.

Embedded persistent or in memory database for Node.js, nw.js, Electron and browsers, 100% JavaScript, no binary dependency. API is a subset of MongoDB's and it's plenty fast.

-
In-memory datastore; Persistent datastore;Equivalent of a MongoDB collection; JavaScript database
Statistics
GitHub Stars
11.8K
GitHub Stars
13.6K
GitHub Forks
4.1K
GitHub Forks
1.0K
Stacks
129.6K
Stacks
37
Followers
108.6K
Followers
85
Votes
3.8K
Votes
0
Pros & Cons
Pros
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 490
    Open source
Cons
  • 16
    Owned by a company with their own agenda
  • 3
    Can't roll back schema changes
No community feedback yet
Integrations
No integrations available
Electron
Electron
Node.js
Node.js
JavaScript
JavaScript

What are some alternatives to MySQL, NeDB?

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.

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.

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase