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MongoDB VS Gin Gonic

Compare MongoDB VS Gin Gonic and see what are their differences

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MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Gin Gonic logo Gin Gonic

Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin. - ...
  • MongoDB Landing page
    Landing page //
    2023-10-21
  • Gin Gonic Landing page
    Landing page //
    2024-03-21

MongoDB features and specs

  • Scalability
    MongoDB offers horizontal scaling through sharding, allowing it to handle large volumes of data and enabling distributed computing.
  • Flexible Schema
    It allows for a flexible schema design using BSON (Binary JSON), making it easier to iterate and change application data models.
  • High Performance
    MongoDB is optimized for read and write throughput, making it suitable for real-time applications.
  • Rich Query Language
    Supports a rich and expressive query language that allows for efficient querying and analytics.
  • Built-in Replication
    Provides robust replication mechanisms for high availability and redundancy.
  • Geospatial Indexing
    Offers powerful geospatial indexing capabilities, useful for location-based applications.
  • Aggregation Framework
    Enables complex data manipulations and transformations using the aggregation pipeline framework.
  • Cross-Platform
    Works on multiple operating systems, enhancing its versatility and deployment options.

Possible disadvantages of MongoDB

  • Memory Usage
    MongoDB can consume a large amount of memory due to its use of memory-mapped files, which may be a concern for some applications.
  • Complex Transactions
    While MongoDB supports ACID transactions, they can be more complex to implement and less efficient compared to traditional relational databases.
  • Data Redundancy
    The flexible schema design can lead to data redundancy and increased storage costs if not managed carefully.
  • Limited Joins
    Joins are supported but can be less efficient and more limited compared to relational databases, affecting complex relational data querying.
  • Indexing Overhead
    Extensive indexing can introduce overhead and impact performance, especially during write operations.
  • Learning Curve
    Requires a different mindset and understanding compared to traditional relational databases, which can present a learning curve for new users.
  • Lacks Mature Analytical Tools
    The ecosystem for analytical tools around MongoDB is not as mature as those for traditional relational databases, which might limit advanced analytics capabilities.
  • Cost
    The cost of using MongoDB's cloud services (MongoDB Atlas) can be high, especially for large-scale deployments.

Gin Gonic features and specs

  • Performance
    Gin is known for its high performance due to its small memory footprint and efficiency. It is capable of handling a large number of requests per second, making it suitable for high-traffic web applications.
  • Minimalist Framework
    Gin offers a minimalist approach, providing only the most essential features needed for web applications. This ensures that your application remains lightweight and fast.
  • Middleware Support
    Gin supports middleware, allowing developers to easily add functionalities such as logging, authentication, and more without cluttering the main application logic.
  • Clear Documentation
    Gin has comprehensive and clear documentation, making it easier for developers to get started and understand the framework's capabilities.
  • Community and Ecosystem
    Gin possesses an active community and a growing ecosystem of plugins and third-party libraries which can be easily integrated to extend the framework's functionality.

Possible disadvantages of Gin Gonic

  • Learning Curve
    Despite its simplicity, Gin can have a steeper learning curve for developers new to Go, as it requires understanding of Go's conventions and idioms.
  • Limited Built-in Features
    While Gin’s minimalist nature is a strength, it also means that some common web features are not available out-of-the-box and need to be implemented by the developer.
  • Opinionated Router
    Gin has an opinionated routing system which may not be as flexible as other web frameworks, potentially requiring workarounds for more complex routing requirements.
  • Middleware Management
    Although middleware support is a pro, managing and organizing middleware can become complex in larger applications, without proper structuring and practices.
  • Error Handling
    Error handling in Gin can sometimes be less intuitive compared to other frameworks, as it relies heavily on Go's error mechanisms, which might not be immediately clear to new developers.

Analysis of MongoDB

Overall verdict

  • MongoDB is generally regarded as a good database solution for applications needing flexibility, scalability, and fast development times. However, it may not be the best choice for applications requiring complex transactions or where ACID compliance is critical, as it originally prioritized availability over consistency. Recent improvements, including multi-document transactions, have addressed some concerns, making it more versatile.

Why this product is good

  • MongoDB is considered a good choice for certain types of applications due to its flexible schema design, scalability, horizontal scaling capabilities, and ease of use for developers who require rapid development cycles. It supports a wide range of data types and allows for full-text search, geospatial queries, and aggregation operations. MongoDB's document-oriented storage makes it well-suited for handling large volumes of unstructured data. Its robust ecosystem, including Atlas for cloud deployments, adds to its appeal by offering automated scaling, backups, and distributed architecture.

Recommended for

  • Applications requiring high scalability and performance with unstructured data
  • Real-time analytics and big data applications
  • Web and mobile applications needing rapid development and flexible data models
  • Projects that benefit from cloud-native solutions with managed services

MongoDB videos

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MySQL vs MongoDB

More videos:

  • Review - The Good and Bad of MongoDB
  • Review - what is mongoDB

Gin Gonic videos

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Category Popularity

0-100% (relative to MongoDB and Gin Gonic)

MongoDB

Gin Gonic

Databases
100 100%
Databases
0% 0
Web Frameworks
0 0%
Web Frameworks
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare MongoDB and Gin Gonic

MongoDB Reviews

10 Top Firebase Alternatives to Ignite Your Development in 2024
MongoDB’s superpower lies in its flexibility. Its document-based model lets you store data in a free-form, schema-less way, making it adaptable to evolving application needs. Need to add a new field or change the structure of your data? No problem, MongoDB handles it with ease.
Source: genezio.com
Top 7 Firebase Alternatives for App Development in 2024
MongoDB Realm provides a robust alternative to Firebase, especially for apps requiring a flexible data model. Key features include:
Source: signoz.io
Announcing FerretDB 1.0 GA - a truly Open Source MongoDB alternative
MongoDB is no longer open source. We want to bring MongoDB database workloads back to its open source roots. We are enabling PostgreSQL and other database backends to run MongoDB workloads, retaining the opportunities provided by the existing ecosystem around MongoDB.
Source: blog.ferretdb.io
16 Top Big Data Analytics Tools You Should Know About
The database added a new feature to its list of attributes called MongoDB Atlas. It is a global cloud database technology that allows to deploy a fully managed MongoDB across AWS, Google Cloud, and Azure with its built-in automation for resource, workload optimization and to reduce the time required to handle the database.
Source: www.analytixlabs.co.in
9 Best MongoDB alternatives in 2019
MongoDB is an open source NoSQL DBMS which uses a document-oriented database model. It supports various forms of data. However, in MongoDB data consumption is high due to de-normalization.
Source: www.guru99.com

Gin Gonic Reviews

We have no reviews of Gin Gonic yet.
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Social recommendations and mentions

Based on our record, Gin Gonic should be more popular than MongoDB. It has been mentiond 87 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

MongoDB mentions (18)

  • Creating AI Memories using Rig & MongoDB
    In this article, we’ll build a CLI tool using the Rig AI framework and MongoDB for retrieval-augmented generation (RAG). This tool will store summarized conversations in a database and retrieve them when needed, enabling the AI to maintain context over time. - Source: dev.to / 3 months ago
  • The Adventures of Blink S2e2: Database, Contained
    Have a Mongo database holding the various phrases we're going to use and potentially configuration data for the frontend as well. - Source: dev.to / 10 months ago
  • Introducing Perseid: The Product-oriented JS framework
    It's also worth mentioning that Perseid provides out-of-the-box support for React, VueJS, Svelte, MongoDB, MySQL, PostgreSQL, Express and Fastify. - Source: dev.to / 9 months ago
  • DocumentDB Elastic Cluster Pricing
    Does anyone know if the most basic Elastic Cluster instance of DocumentDB carries any monthly fixed cost or is it just on-demand cost? Another words if I run like 10,000 queries against the DB per month, what kind of bill would I expect? This is for a super small app. I am currently using mongodb free tier , but want to migrate everything to AWS. Can't seem to find a straight answer to the pricing question. Source: over 2 years ago
  • I wrote some scripts for converting the UTZOO Usenet archive to a Mongo Database
    You can use either MongoDB.com's dashboard (if you host a remote database) or Mongo Compass to run queries on the data or you can modify the express middleware with your own queries. I'm still working on the API, so it's not very robust yet. I will update this when it is. Source: over 2 years ago
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Gin Gonic mentions (87)

  • A Deep Dive into Gin: Golang's Leading Framework
    Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API, but with performance up to 40 times faster than Martini. If you need smashing performance, get yourself some Gin. - Source: dev.to / 5 months ago
  • Simplify Your REST API Responses with Milogo for Gin-Gonic
    At my company we use Go to build internal tools. Recently I worked in a REST API using gin-gonic, that required displaying a lot of data across many endpoints. - Source: dev.to / 7 months ago
  • Even more Opentelemetry!
    Let me be blunt: I dislike (hate?) Go for its error handling approach. However, with close to zero knowledge of the language, I was able to build a basic HTTP API that reads from the database in a couple of hours. I chose Gin Gonic for the web library and Gorm for the ORM. OpenTelemetry provides an integration with a couple of libraries, including Gin and Gorm. On the Dockerfile side, it's also pretty... - Source: dev.to / about 1 year ago
  • Ask HN: Good examples of Go back ends?
    Most golang backends I've seen meanwhile use or switched to using the "gin" framework to build their APIs. A lot of them also have conventions for the frontend, where the assets usually are stored in /public, so they can be go:embed later as an embed.FS instance into the binary. Having said that, there's plenty of examples on github. I'd recommend to take a look at bigger projects or templates and understand how... - Source: Hacker News / over 1 year ago
  • From Laravel to Sponge: How to Easily Develop Web Services with Golang
    Excellent Performance: Sponge is built on the gin framework, providing outstanding performance for web service development. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing MongoDB and Gin Gonic, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Buffalo Go Framework - A Go web development eco-system, designed to make your life easier.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Beego - Beego Web is official blog and documentation website for beego app web framework

MySQL - The world's most popular open source database

FastAPI - FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

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