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JSON Web Token VS MongoDB

Compare JSON Web Token VS MongoDB and see what are their differences

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JSON Web Token logo JSON Web Token

JSON Web Tokens are an open, industry standard RFC 7519 method for representing claims securely between two parties.

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
  • JSON Web Token Landing page
    Landing page //
    2023-08-19
  • MongoDB Landing page
    Landing page //
    2023-10-21

JSON Web Token features and specs

  • Stateless
    Since JWTs are self-contained, they do not require server-side sessions, enabling stateless authentication and reducing server memory usage.
  • Scalability
    JWTs can easily be used in distributed systems and microservices architectures due to their stateless nature, facilitating horizontal scaling.
  • Decentralized Issuance
    Multiple issuers can create and sign their own tokens, allowing for more decentralized and flexible authentication mechanisms.
  • Performance
    JWTs eliminate the need for database lookups during authenticating requests, as the token contains all the necessary information, which can lead to performance improvements.
  • Cross-domain and Mobile Compatible
    JWTs are widely supported by different platforms and can easily be used in cross-domain situations and with mobile applications.
  • Security
    JWTs can be signed and optionally encrypted, ensuring the authenticity and integrity of the data they carry.

Possible disadvantages of JSON Web Token

  • Size
    JWTs tend to be larger than session IDs, which can increase the amount of data transmitted during requests.
  • Expiration Handling
    Managing token expiration can be complex. Once a token is issued, it remains valid until it expires or is explicitly revoked.
  • No Built-in Revocation
    Unlike sessions, JWTs cannot be easily revoked server-side, making it difficult to immediately invalidate tokens without additional mechanisms.
  • Security Risks
    If a JWT is intercepted or compromised, it can be used until it expires. Thus, it should be properly secured and transmitted over HTTPS.
  • Token Overhead
    Embedding too much information in the token payload can lead to performance overhead and potential data exposure risks.
  • Complexity
    Implementing JWT correctly requires a thorough understanding of security practices and token lifecycle management, which can add complexity to the system.

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 JSON Web Token

Overall verdict

  • JWT is a widely-accepted standard used for securely transmitting information between parties as a JSON object. It is a good choice for scenarios where security and scalability are primary concerns. However, it also requires careful implementation to ensure security, especially when dealing with sensitive information.

Why this product is good

  • JSON Web Token (JWT) is a compact, URL-safe means of representing claims to be transferred between two parties. The claims in a JWT are encoded as a JSON object that is used as the payload of a JSON Web Signature (JWS) structure or as the plaintext of a JSON Web Encryption (JWE) structure, enabling the claims to be digitally signed or integrity protected with a Message Authentication Code (MAC) and/or encrypted.

Recommended for

  • Stateless authentication
  • Distributed systems
  • Microservices architecture
  • Applications needing scalable, self-contained access tokens
  • Browser-based applications

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

JSON Web Token videos

JSON Web Tokens Suck - Randall Degges (DevNet Create 2018)

More videos:

  • Review - JSON Web Tokens with Public Key Signatures
  • Review - RFC 7519 JSON Web Token (JWT), Review

MongoDB videos

MySQL vs MongoDB

More videos:

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

Category Popularity

0-100% (relative to JSON Web Token and MongoDB)
Identity Provider
100 100%
0% 0
Databases
0 0%
100% 100
Identity And Access Management
NoSQL Databases
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 JSON Web Token and MongoDB

JSON Web Token Reviews

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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.
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

Social recommendations and mentions

Based on our record, JSON Web Token seems to be a lot more popular than MongoDB. While we know about 303 links to JSON Web Token, we've tracked only 18 mentions of 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.

JSON Web Token mentions (303)

  • Access and Refresh Token Explained
    The key aspect of the separation between access and refresh tokens lies in the possibility of making access tokens easy to validate. An access token that carries a signature (such as a signed JWT) may be validated by the resource server on its own, without needing to contact the authorization server. - Source: dev.to / 4 days ago
  • OAuth 2.0 Overview: How It Works and Why It Matters
    Access Token: A string representing the authorization granted to the client. It’s used by the client to access protected resources on the resource server. Access tokens are typically short-lived for security reasons (e.g., valid for an hour). They can be in various formats, with JSON Web Tokens (JWTs) being a popular choice. - Source: dev.to / 6 days ago
  • OAuth or JWT? Everything Developers Need to Know in 2025
    ​Security Considerations • JWT o Always use HTTPS to prevent token interception o Set short expiration times o Avoid storing sensitive data in the token • OAuth o Always validate redirect URIs o Implement proper token revocation o Consider using PKCE for public clients References • The Ultimate Guide to Implementing Authentication in JavaScript Applications • OAuth 2.0 – RFC 6749 • JWT.io –... - Source: dev.to / about 1 month ago
  • Guide to JWT API Authentication
    Jwt.io is a great playground to get used to working with JWTs. - Source: dev.to / about 2 months ago
  • Verifying Cognito access tokens - Comparing three JWT packages for Lambda authorizers
    The Lambda authorizer code decodes and verifies the token, and its business logic determines whether the request should proceed to the backend or be denied. Cognito access tokens are JSON Web Tokens (JWTs), and to simplify our coding, we might opt for an external package to handle token verification. - Source: dev.to / 3 months ago
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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 JSON Web Token and MongoDB, you can also consider the following products

Auth0 - Auth0 is a program for people to get authentication and authorization services for their own business use.

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

Firebase Authentication - Application and Data, Application Utilities, and User Management and Authentication

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

Spring Security - The Spring portfolio has many projects, including Spring Framework, Spring IO Platform, Spring Cloud, Spring Boot, Spring Data, Spring Security...

MySQL - The world's most popular open source database