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  1. Stackups
  2. Application & Data
  3. Platform as a Service
  4. Realtime Backend API
  5. Gun vs OrbitDB

Gun vs OrbitDB

OverviewComparisonAlternatives

Overview

Gun
Gun
Stacks49
Followers87
Votes0
GitHub Stars18.7K
Forks1.2K
OrbitDB
OrbitDB
Stacks10
Followers60
Votes0

Gun vs OrbitDB: What are the differences?

Introduction

Gun and OrbitDB are both decentralized databases that offer solutions for storing and retrieving data in a peer-to-peer network. However, there are several key differences between the two.

  1. Data Replication Strategy: Gun uses a CRDT (Conflict-free Replicated Data Types) data replication strategy, which allows multiple users to write to the database simultaneously without conflicts. On the other hand, OrbitDB uses an append-only log data replication strategy, where each update is added as a new entry to the log. This ensures data immutability but can potentially lead to conflicts if multiple users write to the same entry simultaneously.

  2. Network Connectivity: Gun supports real-time replication between peers using WebSockets, which makes it suitable for real-time applications that require instant updates. In contrast, OrbitDB relies on IPFS (InterPlanetary File System) as its underlying network layer, which provides decentralized storage but may not offer real-time replication capabilities out-of-the-box.

  3. Consensus Algorithm: Gun does not rely on any consensus algorithm for synchronizing data across peers. Instead, it relies on a decentralized gossip protocol to achieve eventual consistency. On the other hand, OrbitDB relies on the underlying IPFS network to achieve consensus using the CRDT-based log replication strategy.

  4. Querying Abilities: Gun provides a powerful querying language called Gun Chainsaw, which allows developers to perform complex queries on the data stored in the database. In comparison, OrbitDB provides a more limited querying capability, primarily supporting basic key-value pair retrieval.

  5. Ease of Use: Gun emphasizes ease of use and aims to provide a consistent development experience across different platforms. It offers a simple API and supports multiple programming languages, making it accessible to developers with varying skill levels. On the other hand, OrbitDB is more developer-centric and caters to users familiar with IPFS and distributed systems, requiring a deeper understanding of the underlying technology stack.

  6. Data Privacy and Security: Gun offers data privacy and security features out-of-the-box, including end-to-end encryption and access control mechanisms. These features make it suitable for applications that require strong privacy and security protection. While OrbitDB also supports data privacy and security, it may require additional configurations and add-ons to achieve a similar level of protection as Gun.

In summary, Gun and OrbitDB differ in their data replication strategy, network connectivity, consensus algorithm, querying abilities, ease of use, and data privacy and security features. Developers can choose between the two based on the specific requirements of their decentralized application.

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Detailed Comparison

Gun
Gun
OrbitDB
OrbitDB

GUN is a realtime, decentralized, embedded, graph database engine.

It is a serverless, distributed, peer-to-peer database. It uses IPFS as its data storage and IPFS Pubsub to automatically sync databases with peers. It’s an eventually consistent database that uses CRDTs for conflict-free database merges making it an excellent choice for decentralized apps (dApps), blockchain applications and offline-first web applications.

-
Peer-to-Peer Database; Serverless; Automatically sync databases with peers
Statistics
GitHub Stars
18.7K
GitHub Stars
-
GitHub Forks
1.2K
GitHub Forks
-
Stacks
49
Stacks
10
Followers
87
Followers
60
Votes
0
Votes
0
Pros & Cons
Pros
  • 0
    Small size
  • 0
    Real time
  • 0
    Open source
No community feedback yet
Integrations
No integrations available
Node.js
Node.js

What are some alternatives to Gun, OrbitDB?

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.

Firebase

Firebase

Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.

Socket.IO

Socket.IO

It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed.

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.

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