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Bootstrap Table VS MongoDB

Compare Bootstrap Table VS MongoDB and see what are their differences

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Contents:
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  3. » Reviews
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Bootstrap Table logo Bootstrap Table

Bootstrap Table has been designed to reduce development time and to require no specific knowledge from developers.

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
  • Bootstrap Table Landing page
    Landing page //
    2023-07-16
  • MongoDB Landing page
    Landing page //
    2023-10-21

Bootstrap Table features and specs

  • Integration
    Bootstrap Table is built to work seamlessly with Bootstrap, making it easy to integrate into projects already using the Bootstrap framework.
  • Feature-Rich
    Offers a variety of features out of the box such as pagination, sorting, searching, and filtering, which reduce the need for additional plugins or custom development.
  • Customizable
    Highly customizable with a range of options to tailor the functionality and appearance to meet specific project requirements.
  • Community Support
    Has a strong community and extensive documentation, providing a wealth of resources and solutions for common issues.
  • Extensibility
    Supports multiple extensions that enhance its core functionality, allowing developers to add specific features as needed.

Possible disadvantages of Bootstrap Table

  • Dependency on jQuery
    Relies on jQuery, which increases the overall bundle size of the application and can be considered outdated by modern development standards.
  • Learning Curve
    While extensive, the documentation can be overwhelming, and beginners may find the initial setup and understanding of configurations challenging.
  • Potential Overhead
    With so many features enabled by default, Bootstrap Table may introduce unnecessary overhead if not all features are needed, impacting performance.
  • Bootstrap Dependency
    Requires Bootstrap CSS to function correctly, limiting its use in projects that do not utilize or wish to avoid Bootstrap’s theming.
  • Browser Compatibility
    Though generally robust, some advanced features might not perform well or consistently across all browsers, especially older versions.

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.

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

Bootstrap Table videos

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BootStrap Table

MongoDB videos

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MySQL vs MongoDB

More videos:

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

Category Popularity

0-100% (relative to Bootstrap Table and MongoDB)

Bootstrap Table

MongoDB

Customer Feedback
100 100%
Customer Feedback
0% 0
Databases
0 0%
Databases
100% 100
Marketing Tools
100 100%
Marketing Tools
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

Share your experience with using Bootstrap Table and MongoDB. For example, how are they different and which one is better?
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Reviews

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

Bootstrap Table Reviews

We have no reviews of Bootstrap Table yet.
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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

Social recommendations and mentions

Based on our record, MongoDB seems to be more popular. It has been mentiond 18 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.

Bootstrap Table mentions (0)

We have not tracked any mentions of Bootstrap Table yet. Tracking of Bootstrap Table recommendations started around Mar 2021.

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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What are some alternatives?

When comparing Bootstrap Table and MongoDB, you can also consider the following products

code-prettify - Code Prettify is an embeddable script that makes source-code snippets in HTML prettier.

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

highlight.js - Highlight.js is a syntax highlighter written in JavaScript. It works in the browser as well as on the server.

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

BlueDragon - Blue Dragon is an Action-Adventure, Role-playing, Turn-based and Single-player video game created by Artoon and published by Microsoft Games Studios.

MySQL - The world's most popular open source database

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