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MongoDB VS vert.x

Compare MongoDB VS vert.x and see what are their differences

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MongoDB logo MongoDB

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

vert.x logo vert.x

From Wikipedia, the free encyclopedia
  • MongoDB Landing page
    Landing page //
    2023-10-21
  • vert.x Landing page
    Landing page //
    2022-06-12

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.

vert.x features and specs

  • Performance
    Vert.x is designed to be highly performant, leveraging a non-blocking, event-driven architecture which makes it suitable for handling many concurrent requests efficiently.
  • Polyglot
    Vert.x supports multiple programming languages, including Java, Kotlin, JavaScript, Groovy, Ruby, and more. This allows developers to use the language they are most comfortable with.
  • Modular
    Vert.x is modular and lightweight, enabling developers to use only the parts they need and easily integrate with other libraries and tools.
  • Reactive Ecosystem
    Vert.x provides a robust ecosystem for building reactive applications, including asynchronous APIs, event bus, and reactive streams.
  • Scalability
    The architecture of Vert.x allows for easy scaling both vertically and horizontally, as it can efficiently manage resources and load balancing.

Possible disadvantages of vert.x

  • Learning Curve
    The event-driven and asynchronous nature of Vert.x can be challenging for developers who are accustomed to traditional synchronous programming paradigms.
  • Community and Resources
    While growing, the Vert.x community is smaller compared to more established frameworks, which may result in fewer resources, tutorials, and third-party integrations.
  • Complexity
    As applications grow in size, managing asynchronous code and callback structures can become complex, requiring careful planning and architecture decisions.
  • Tooling
    Tooling support, while improving, may not be as comprehensive as other established frameworks, which might impact development speed and debugging.

MongoDB videos

+ Add

MySQL vs MongoDB

More videos:

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

vert.x videos

+ Add

From Zero to Back End in 45 Minutes with Eclipse Vert.x

Category Popularity

0-100% (relative to MongoDB and vert.x)

MongoDB

vert.x

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 vert.x

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

vert.x Reviews

17 Popular Java Frameworks for 2023: Pros, cons, and more
As Vert.x is an event-driven and non-blocking framework, it can handle a lot of concurrencies using only a minimal number of threads. Vert.x is also quite lightweight, with the core framework weighing only about 650 KB. It has a modular architecture that allows you to use only the modules you need so that your app can stay as slick as possible. Vert.x is an ideal choice if...
Source: raygun.com

Social recommendations and mentions

Based on our record, vert.x should be more popular than MongoDB. It has been mentiond 29 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 / 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

vert.x mentions (29)

  • Java News: WildFly 36, Spring Milestones, and Open Liberty Updates
    The sixth release candidate of Eclipse Vert.x 5.0.0 provides support for the Java Platform Module System and a new VerticleBase class. Further details are available in the release notes. - Source: dev.to / 28 days ago
  • Rust, C++, and Python trends in jobs on Hacker News (February 2025)
    I see your point, but I still don't think you can just say "If you want to get get a job as a Go developer, you must know gRPC." Even more so for Kafka, I've only heard about it being popular in the Java world. You can't even say "If you want to get a job as a Java developer, you must know Spring." Nowadays, sane Java projects use https://vertx.io, it's just too good. I would argue that Spring is for legacy... - Source: Hacker News / 3 months ago
  • Error handlers and failure handlers in Vert.x
    Vert.x is a toolkit for developing reactive applications on the JVM. I wrote a short introductory post about it earlier, when I used it for a commercial project. I had to revisit a Vert.x-based hobby project a few weeks ago, and I learned that there were some gaps in my knowledge about how Vert.x handles failures and errors. To fill those gaps, I did some experiments, wrote a few tests, and then wrote this blog post. - Source: dev.to / 6 months ago
  • Spark – A web micro framework for Java and Kotlin
    Https://vertx.io/ It's actively maintained with full time developers, performant, supports Kotlin out of the box, and has more features? - Source: Hacker News / over 1 year ago
  • Reactive database access on the JVM
    Hibernate Reactive integrates with Vert.x, but an extension allows to bridge to Project Reactor if wanted. - Source: dev.to / almost 2 years ago
View more

What are some alternatives?

When comparing MongoDB and vert.x, 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.

Micronaut Framework - Build modular easily testable microservice & serverless apps

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

Javalin - Simple REST APIs for Java and Kotlin

MySQL - The world's most popular open source database

helidon - Helidon Project, Java libraries crafted for Microservices

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