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  1. Stackups
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  4. Databases
  5. NeDB vs RxDB

NeDB vs RxDB

OverviewComparisonAlternatives

Overview

NeDB
NeDB
Stacks37
Followers85
Votes0
GitHub Stars13.6K
Forks1.0K
RxDB
RxDB
Stacks59
Followers179
Votes63
GitHub Stars22.8K
Forks1.1K

NeDB vs RxDB: What are the differences?

Introduction

In this Markdown code, we will discuss the key differences between NeDB and RxDB.

  1. Storage Mechanism: NeDB uses a file-based storage approach, storing data in a JSON file on disk, making it suitable for small to medium-sized datasets. On the other hand, RxDB utilizes IndexedDB as its storage mechanism, offering better performance and scalability for handling larger datasets.

  2. Synchronization: NeDB does not natively support synchronization between multiple instances or clients, making it more suitable for standalone applications. In contrast, RxDB comes with built-in synchronization capabilities, enabling seamless data replication and sharing across multiple clients in real-time.

  3. Query Language: NeDB utilizes a simple yet powerful querying language that closely resembles MongoDB's query syntax, allowing for flexible and intuitive data retrieval. In comparison, RxDB integrates with GraphQL, offering a more sophisticated and structured approach to querying data, especially in complex data models.

  4. Data Replication: NeDB lacks built-in support for data replication and offline-first capabilities, limiting its usability for applications requiring data synchronization in occasionally connected environments. On the contrary, RxDB excels in handling data replication and conflict resolution, making it a preferred choice for building offline-first applications.

  5. Plugins and Extensibility: NeDB has a limited set of plugins and extensions available, restricting the customization and extensibility options for developers. Conversely, RxDB boasts a rich ecosystem of plugins and tooling, allowing developers to enhance and extend its functionalities as per their requirements.

  6. Community Support: NeDB has a smaller community and fewer resources compared to RxDB, which has a larger and more active community. This results in faster issue resolution, better documentation, and a more vibrant ecosystem for developers using RxDB.

In Summary, the key differences between NeDB and RxDB lie in their storage mechanism, synchronization capabilities, query language, data replication support, extensibility, and community support.

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Detailed Comparison

NeDB
NeDB
RxDB
RxDB

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.

💻 📱 Reactive, serverless, client-side, offline-first database in javascript. Client-Side Database for Browsers, NodeJS, electron, cordova, react-native and every other javascript-runtime.

In-memory datastore; Persistent datastore;Equivalent of a MongoDB collection; JavaScript database
-
Statistics
GitHub Stars
13.6K
GitHub Stars
22.8K
GitHub Forks
1.0K
GitHub Forks
1.1K
Stacks
37
Stacks
59
Followers
85
Followers
179
Votes
0
Votes
63
Pros & Cons
No community feedback yet
Pros
  • 15
    Good documentation
  • 13
    Subscription to queries
  • 11
    Example projects
  • 10
    Works
  • 10
    Typescript support
Cons
  • 4
    Bulk operation for updates and other operation
Integrations
Electron
Electron
Node.js
Node.js
JavaScript
JavaScript
Pouchdb
Pouchdb
CouchDB
CouchDB
Cloudant
Cloudant
React
React
Angular
Angular
Ionic
Ionic
Vue.js
Vue.js

What are some alternatives to NeDB, RxDB?

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.

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.

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