Software Alternatives, Accelerators & Startups
Register | Login

Badger VS MongoDB

Compare Badger VS MongoDB and see what are their differences

InfinyHost
Smart hosting solutions for small businesses, eCommerce, and personal websites. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Badger logo Badger

A fast key-value store written natively in Go

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
  • Badger Landing page
    Landing page //
    2023-10-22
  • MongoDB Landing page
    Landing page //
    2023-10-21

Badger features and specs

  • High Performance
    Badger is designed for high throughput and low latency, making it suitable for performance-intensive applications. Its LSM-based storage engine optimizes read and write operations.
  • Embeddable
    Being an embeddable key-value database, Badger allows developers to integrate it directly into their applications without needing a separate database server setup.
  • Concurrent ACID Transactions
    Badger supports ACID transactions with options for concurrent transactions, ensuring data integrity and consistency in multi-threaded applications.
  • Garbage Collection
    It includes a garbage collection process to handle old data versions and reclaim disk space, contributing to efficient disk usage.
  • Horizontal Scalability
    While primarily for single-node setups, Badger can be used in distributed systems to enhance scalability and performance.

Possible disadvantages of Badger

  • Complexity in Use
    For developers unfamiliar with LSM-tree based databases, understanding and implementing Badger might be complex, necessitating a learning curve.
  • Limited Query Language
    Badger, as a key-value store, doesn't offer a query language or indexing capabilities found in more complex databases, which might limit its use for complex queries.
  • Resource Intensive Compactions
    The compaction process in Badger, needed for maintaining write efficiency, can be resource-intensive, potentially impacting performance during its operation.
  • No Distributed Support
    Out of the box, Badger does not support distributed capabilities directly, requiring additional tools or custom solutions for horizontal scaling across nodes.
  • Lack of Built-in Encryption
    Badger does not provide built-in encryption, requiring developers to implement their own encryption mechanisms for secure data storage.

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.

Badger videos

+ Add

The Honey Badger

More videos:

  • Review - World of Tanks || FV217 Badger - Tank Preview
  • Review - Wild Badger 26cc WBMT26P 4 in 1 multi tool review and USE

MongoDB videos

+ Add

MySQL vs MongoDB

More videos:

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

Category Popularity

0-100% (relative to Badger and MongoDB)

Badger

MongoDB

Field Service Management
100 100%
Field Service Management
0% 0
Databases
0 0%
Databases
100% 100
Field Staff Management Software
100 100%
Field Staff Management Software
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

Share your experience with using Badger and MongoDB. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Badger Reviews

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

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

Badger might be a bit more popular than MongoDB. We know about 20 links to it since March 2021 and only 18 links to MongoDB. 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.

Badger mentions (20)

View more

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
View more

What are some alternatives?

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

WakesApp - The simplest way ever to send reminders to friends

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

Lystloc - Location Intelligence and Analytics App

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

Bump - Get connected. Want to share something with a friend or someone you just met? Bump your phones together.

MySQL - The world's most popular open source database

Loading...