Software Alternatives, Accelerators & Startups
Register | Login

PlantUML VS MongoDB

Compare PlantUML VS MongoDB and see what are their differences

Draxlr
Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. 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

PlantUML logo PlantUML

PlantUML is an open-source tool that uses simple textual descriptions to draw UML diagrams.

MongoDB logo MongoDB

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

PlantUML features and specs

  • Simple Syntax
    PlantUML uses a plain text language that is easy to learn, making it accessible for both technical and non-technical users.
  • Quick Diagram Creation
    Due to its straightforward text-based syntax, diagrams can be created and modified quickly without the need for a graphical interface.
  • Version Control Friendly
    Diagrams are stored as text files, making them easy to manage with version control systems like Git.
  • Integrations
    PlantUML integrates well with many other tools and platforms including IDEs (e.g., IntelliJ, VSCode), documentation generators (e.g., Doxygen, Sphinx), and project management tools.
  • Wide Range of Diagrams
    PlantUML supports a variety of UML and non-UML diagrams, including sequence diagrams, use case diagrams, class diagrams, and more.
  • Open Source
    PlantUML is an open-source tool, which makes it free to use and allows for community contributions and extensions.

Possible disadvantages of PlantUML

  • Learning Curve
    While the syntax is simple, users unfamiliar with text-based diagramming may need time to become proficient.
  • No GUI
    PlantUML lacks a graphical user interface (GUI), which might be a disadvantage for users who prefer drag-and-drop diagram creation.
  • Complex Diagrams
    For very complex diagrams, the text-based syntax can become cumbersome and hard to manage.
  • Rendering Limitations
    The style and formatting options are less flexible compared to some dedicated graphical diagramming tools.
  • Performance
    For large diagrams, the text-to-diagram rendering process can be slow.
  • Security Concerns
    Using PlantUML with remote server options might raise security issues, particularly when dealing with sensitive information.

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.

PlantUML videos

+ Add

PlantUML - beautiful quick diagrams to explain your models

More videos:

  • Review - Folge16 - PlantUML und IntelliJ
  • Tutorial - PlantUML Gizmo Tutorial: Google Docs Add-on
  • Review - Mermaid vs PlantUML vs HackerDraw: Which One Is Best For You?
  • Review - Using PlantUML For Diagrams In A GitLab Wiki

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 PlantUML and MongoDB)

PlantUML

MongoDB

Diagrams
100 100%
Diagrams
0% 0
Databases
0 0%
Databases
100% 100
Flowcharts
100 100%
Flowcharts
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

Share your experience with using PlantUML 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 PlantUML and MongoDB

PlantUML Reviews

Top 7 diagrams as code tools for software architecture
PlantUML is a tool that allows you to write diagrams such as sequence, object, component, usecase, class diagrams and more.
Source: icepanel.medium.com
5 great diagramming tools for enterprise and software architects
PlantUML is an open source tool and syntax that allows you to make sequence, use case, class, object, and other diagrams from code. It also supports non-UML diagrams like JSON and YAML. In addition, it enjoys support from ArchiMate, ERD, Business Process Modeling Notation (BPMN), and other common notation styles. Its simple, plain-text definitions make creating, sharing, and...
Source: www.redhat.com
Software Diagrams - Plant UML vs Mermaid
For C4 Models, Mermaid support is still experimental. This shows as you have little control over the way the diagram is rendered, and some parts are unreadable (i.e., arrows over nodes). PlantUML works as you would expect and has support for more advanced setup like sprites. Not even close on this one. Winner: PlantUML
Source: www.dandoescode.com
9 Best UML Software For Mac & PC
PlantUML is another free open source sequence diagram software that uses text input to build UML charts. PlantUML requires using a specific PlantUML Language to construct sequence charts but once learned it’s very flexible.
Source: machow2.com
40 Open Source, Free and Top Unified Modeling Language (UML) Tools
PlantUML is a component that allows users to quickly write sequence diagrams, usecase diagrams, class diagrams, activity diagrams, component diagrams, state diagrams, deployment diagrams, object diagrams and wireframe graphical interfaces. Diagrams are defined using a simple and intuitive language. Images can be generated in PNG, SVG or LaTeX format and it is also possible...
Source: www.predictiveanalyticstoday.com

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 should be more popular than PlantUML. 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.

PlantUML mentions (12)

  • Owning my own data, part 1: Integrating a self-hosted calendar solution
    That particular diagram seems to have been generated by https://plantuml.com according to the image's metadata. - Source: Hacker News / about 1 month ago
  • Common Mistakes in Architecture Diagrams (2020)
    I have to confess I am guilty of this — I used to just draw some unstructured circles and arrows on a whiteboard and call it enough. Lately I've been trying to work my way through lots of different diagram types from https://plantuml.com/, and it does help to wrap my mind around the existing options. - Source: Hacker News / 3 months ago
  • LLM + Mermaid: How Modern Teams Create UML Diagrams Without Lucidchart
    Today, tools like Mermaid and PlantUML have taken center stage, thanks to their ability to generate diagrams with text-based commands. Even better, AI-powered assistants like Claude, ChatGPT, and GitHub Copilot have made generating diagrams even easier. These tools work directly within a developer's environment, creating diagrams that are version-controlled and integrated seamlessly into workflows. - Source: dev.to / 6 months ago
  • Blockdiag – simple diagram images generator – blockdiag 1.0 documentation
    While inactive blockdiag was small and nice for automatically annotating documentation. As you can see it hasn't been maintained for a few years. https://github.com/blockdiag/blockdiag With complex diagrams, I find good old PlantUML diagrams more useful if not as initially pretty as mermaid. Plus it will output archimate without having to touch that UI https://plantuml.com/ But really it is horses for courses.... - Source: Hacker News / 9 months ago
  • Introduction to Haskell Diagrams
    Use a high-level language like Plant UML, D2, Graphviz which are good for the purpose they are designed for, but not for generic purpose diagramming. - Source: dev.to / 10 months ago
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 / 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 / 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
View more

What are some alternatives?

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

draw.io - Online diagramming application

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

yEd - yEd is a free desktop application to quickly create, import, edit, and automatically arrange diagrams. It runs on Windows, Mac OS X, and Unix/Linux.

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

LucidChart - LucidChart is the missing link in online productivity suites. LucidChart allows users to create, collaborate on, and publish attractive flowcharts and other diagrams from a web browser.

MySQL - The world's most popular open source database

Loading...