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MongoDB VS JSON Placeholder

Compare MongoDB VS JSON Placeholder and see what are their differences

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MongoDB logo MongoDB

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

JSON Placeholder logo JSON Placeholder

JSON Placeholder is a modern platform that provides you online REST API, which you can instantly use whenever you need any fake data.
  • MongoDB Landing page
    Landing page //
    2023-10-21
  • JSON Placeholder Landing page
    Landing page //
    2022-01-17

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.

JSON Placeholder features and specs

  • Free to Use
    JSON Placeholder is completely free for developers to use. There are no fees or subscription costs, which makes it accessible for anyone needing mock data quickly.
  • Reliable and Well-Maintained
    The API is maintained and kept up-to-date, ensuring that developers can rely on it for consistent performance and uptime.
  • Ease of Use
    The service is user-friendly, with clear documentation and straightforward endpoints, making it easy for developers to integrate and work with.
  • Variety of Data Types
    JSON Placeholder provides different types of data such as users, posts, comments, and todos, suitable for a variety of testing scenarios.
  • No Authentication Required
    The API does not require any form of authentication, which simplifies the process of making requests and testing applications.
  • Common Data Model
    The data model used by JSON Placeholder represents common entities often found in real-world applications, making it practical for most development purposes.

Possible disadvantages of JSON Placeholder

  • Static Data
    The data provided by JSON Placeholder is static and does not change, which can limit its usefulness for testing applications that require dynamic data.
  • Not Real Data
    The information provided is entirely fictional and may not accurately represent real-world scenarios, potentially leading to less realistic testing environments.
  • Limited Data Size
    The amount of data available is limited, which may not be sufficient for testing applications that require large datasets.
  • No Custom Data Generation
    JSON Placeholder does not offer features to generate custom datasets, which can be a limitation for developers who need specific data formats or structures.
  • Lack of Advanced Features
    The API offers basic CRUD operations but lacks advanced features like filtering, sorting, or pagination, which may be necessary for some testing scenarios.

MongoDB videos

MySQL vs MongoDB

More videos:

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

JSON Placeholder videos

Albums Json Placeholder - Review 4

More videos:

  • Review - JSON PLACEHOLDER - FAKE API

Category Popularity

0-100% (relative to MongoDB and JSON Placeholder)
Databases
100 100%
0% 0
Development
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Online Services
0 0%
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 JSON Placeholder

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.
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.
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

JSON Placeholder Reviews

We have no reviews of JSON Placeholder yet.
Be the first one to post

Social recommendations and mentions

Based on our record, JSON Placeholder should be more popular than MongoDB. It has been mentiond 160 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 / about 2 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 / 9 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 / 8 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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JSON Placeholder mentions (160)

  • Rest Client - Fetch
    Const request = { title: 'foo', body: 'bar', userId: 1, }; Fetch('https://jsonplaceholder.typicode.com/posts', { method: 'POST', body: JSON.stringify(request), headers: { 'Content-type': 'application/json; charset=UTF-8', }, }) .then(response => response.json()) .then(json => console.log(json));. - Source: dev.to / 2 days ago
  • Modern Networking in iOS with URLSession and async/await: A Practical Guide
    Encapsulation of base URL logic: Centralizes the host and scheme configuration (e.g. "https://jsonplaceholder.typicode.com"), keeping the logic DRY (Don't Repeat Yourself). - Source: dev.to / about 1 month ago
  • Tutorial 14: Networking in iOS - Making API Calls with URLSession
    Import Foundation Class NetworkManager { static let shared = NetworkManager() private let baseURL = "https://jsonplaceholder.typicode.com" func fetchMessages(completion: @escaping ([Message]?) -> Void) { guard let url = URL(string: "\(baseURL)/messages") else { return } let task = URLSession.shared.dataTask(with: url) { data, response, error in guard let data = data,... - Source: dev.to / about 1 month ago
  • How To Fetch Data From API In React JS Axios
    Try fetching data from public APIs like JSONPlaceholder or OpenWeatherMap. - Source: dev.to / about 1 month ago
  • Debounce vs. Throttle in JavaScript, in Simple Words
    In this CodePen, you can see a simple debounce function in action. The function waits 500 milliseconds after the user stops typing. Then, it makes a request to the JSONPlaceholder API to display the relevant results. - Source: dev.to / about 2 months ago
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What are some alternatives?

When comparing MongoDB and JSON Placeholder, 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.

JSON Server - Get a full fake REST API with zero coding in less than 30 seconds. For front-end developers who need a quick back-end for prototyping and mocking

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

ReqRes - A hosted REST-API ready to respond to your AJAX requests.

MySQL - The world's most popular open source database

Mockae - The most flexible way to mock REST APIs with Lua code execution