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  1. Stackups
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  5. NeDB vs SQLite

NeDB vs SQLite

OverviewDecisionsComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
NeDB
NeDB
Stacks37
Followers85
Votes0
GitHub Stars13.6K
Forks1.0K

NeDB vs SQLite: What are the differences?

Introduction

In this Markdown code, we will provide key differences between NeDB and SQLite, focusing on their specific characteristics. NeDB is a JavaScript-based in-memory database, while SQLite is a lightweight, file-based SQL database engine.

  1. Embedded vs. Standalone: NeDB is designed to be used as an embedded database within a Node.js application, meaning that it runs in the same process as the application. It does not require a separate server or installation. On the other hand, SQLite operates as a standalone database that can be accessed by multiple processes or applications simultaneously. It provides a client-server architecture and can be accessed through various programming languages.

  2. Data Storage: NeDB stores data in memory by default, but it also supports persistence to the disk using files. It is primarily used for small to medium-sized datasets. SQLite, on the other hand, stores data in file-based databases. It uses a single file for the entire database, making it suitable for larger datasets and scenarios where durability is crucial.

  3. Query Language: NeDB provides a subset of MongoDB's query language, allowing developers to perform basic CRUD operations using JavaScript syntax. It supports querying and indexing capabilities similar to MongoDB, making it easy to transition between the two. SQLite, being an SQL database engine, follows the SQL syntax and provides a much broader range of querying capabilities, including complex joins, aggregations, and transactions.

  4. Scalability: NeDB is designed for small to medium-sized datasets and is generally not as scalable as SQLite. Its in-memory nature and lack of client-server architecture limit its ability to handle large amounts of data or heavy concurrent access. SQLite, on the other hand, can handle significant datasets and is suitable for both small and enterprise-level applications. It supports concurrent access and can be scaled using techniques like clustering and replication.

  5. Platform Compatibility: NeDB is specifically designed for Node.js and runs only on the JavaScript runtime. It cannot be used with other programming languages or platforms. On the contrary, SQLite is a C library and can be used with various programming languages and platforms, including Node.js, Python, Java, and more. It has broad platform compatibility and bindings available for multiple languages.

  6. Features and Ecosystem: NeDB provides a minimalistic feature set with basic database functionalities. It is primarily focused on simplicity and ease of use. SQLite, on the other hand, offers a comprehensive set of features, including support for triggers, views, full-text search, and more. It has a mature ecosystem with extensive community support, libraries, and tools available.

In summary, NeDB is a JavaScript-based embedded in-memory database focused on simplicity and ease of use, suitable for small to medium-sized datasets, while SQLite is a standalone file-based SQL database engine, offering advanced querying capabilities, scalability, and broader platform compatibility.

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Advice on SQLite, NeDB

Anonymous
Anonymous

Oct 29, 2019

Needs advice

Hi everyone! I am a high school student, starting a massive project. I'm building a system for a boarding school to be better connected to their students and be more efficient with information. In the meantime, I am developing a website and an android app. What's the best datastore I can use? I need to be able to access student data on the app from the main database and send push notifications. Also feed updates. What's the best approach? What's the best tool I can use to deploy the website and the database? One for testing and prototyping, and an official one... Thanks in advance!!!!

366k views366k
Comments

Detailed Comparison

SQLite
SQLite
NeDB
NeDB

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.

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
-
GitHub Stars
13.6K
GitHub Forks
-
GitHub Forks
1.0K
Stacks
19.9K
Stacks
37
Followers
15.2K
Followers
85
Votes
535
Votes
0
Pros & Cons
Pros
  • 163
    Lightweight
  • 135
    Portable
  • 122
    Simple
  • 81
    Sql
  • 29
    Preinstalled on iOS and Android
Cons
  • 2
    Not for multi-process of multithreaded apps
  • 1
    Needs different binaries for each platform
No community feedback yet
Integrations
No integrations available
Electron
Electron
Node.js
Node.js
JavaScript
JavaScript

What are some alternatives to SQLite, 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.

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.

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.

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