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JPEGView VS MongoDB

Compare JPEGView VS MongoDB and see what are their differences

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JPEGView logo JPEGView

JPEGView is a small and fast viewer/editor for JPEG, BMP, PNG, GIF and TIFF images.

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
  • JPEGView Landing page
    Landing page //
    2023-04-23
  • MongoDB Landing page
    Landing page //
    2023-10-21

JPEGView features and specs

  • Lightweight
    JPEGView is a small and efficient application that doesn't require much system resources, making it ideal for quick image viewing and editing.
  • Fast Performance
    The software is designed for speed, with rapid load times and swift navigation between images.
  • Simple Interface
    JPEGView has a clean and minimalistic user interface, which makes it user-friendly and easy to operate even for beginners.
  • Basic Editing Features
    It includes essential editing tools like rotation, cropping, and adjusting brightness, contrast, and color levels.
  • Supports Multiple Formats
    In addition to JPEG, it supports a variety of image formats such as BMP, PNG, GIF, and TIFF.
  • Free and Open Source
    JPEGView is free to download and use, with its source code available for modification and distribution under open-source licenses.

Possible disadvantages of JPEGView

  • Limited Advanced Editing
    The tool lacks advanced editing features found in more comprehensive software like Photoshop or GIMP.
  • Windows Only
    JPEGView is predominantly designed for Windows, which limits its accessibility for users on macOS or Linux without additional workarounds.
  • No Batch Processing
    It doesn't support batch processing, which can be a drawback for users needing to edit multiple images simultaneously.
  • No Multilanguage Support
    The software has limited language support, which can be a barrier for non-English speaking users.
  • Basic Features Only
    JPEGView focuses on basic image viewing and minor editing, which may not meet the needs of professional photographers or advanced users seeking comprehensive tools.

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 JPEGView

Overall verdict

  • JPEGView is a highly effective tool for users seeking a minimalistic and efficient image viewer. Its ability to handle large files smoothly and offer quick adjustments makes it a solid choice for those looking for speed and basic functionality.

Why this product is good

  • JPEGView is often praised for its lightweight design and fast performance. It supports various image formats and provides basic editing features such as rotation, cropping, and color adjustments. Its simplicity and speed make it a go-to option for users who need a fast image viewer without the bulk of more comprehensive photo editing software.

Recommended for

    JPEGView is best suited for users who need a lightweight, fast image viewer with basic editing capabilities. It's ideal for photographers dealing with large image files, casual users who require quick viewing and minor edits, and anyone wanting to avoid the complexities of more feature-rich software.

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

JPEGView videos

+ Add

jpegview raw editing 02

More videos:

  • Tutorial - Mr.How to install | JPEGView

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 JPEGView and MongoDB)

JPEGView

MongoDB

Image Editing
100 100%
Image Editing
0% 0
Databases
0 0%
Databases
100% 100
Digital Drawing And Painting
100 100%
Digital Drawing And Painting
0% 0
NoSQL Databases
0 0%
NoSQL Databases
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 JPEGView and MongoDB

JPEGView Reviews

We have no reviews of JPEGView 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 should be more popular than JPEGView. 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.

JPEGView mentions (10)

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 / 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 JPEGView and MongoDB, you can also consider the following products

IrfanView - IrfanView ... one of the most popular viewers worldwide.

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

XnView MP - XnView is a free software that allows you to view, resize and edit your images. It supports more than 500 different formats!

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

FastStone Image Viewer - FastStone Image Viewer is a fast, stable, user-friendly image browser, converter and editor.

MySQL - The world's most popular open source database

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