Software Alternatives, Accelerators & Startups

Parse-Server VS MongoDB

Compare Parse-Server VS MongoDB and see what are their differences

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Parse-Server logo Parse-Server

parse-server. Parse-compatible API server module for Node/Express. JS, 14271, 3819. parse-server-conformance-tests. Conformance tests for parse-server adapters.

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
  • Parse-Server Landing page
    Landing page //
    2023-09-14
  • MongoDB Landing page
    Landing page //
    2023-10-21

Parse-Server features and specs

  • Open Source
    Parse-Server is open-source, which means it's free to use and you can modify the source code to fit your specific needs. It also benefits from community contributions and improvements.
  • Backend as a Service
    It provides a backend as a service (BaaS), offering out-of-the-box features like data storage, user authentication, and push notifications, which allows developers to focus more on the frontend.
  • Cloud Independence
    You can deploy Parse-Server on any cloud service of your choice, giving you flexibility and control over your server environment, unlike other closed BaaS options.
  • Rich Feature Set
    Parse-Server includes a rich set of features such as live queries, GraphQL support, and file storage, which helps in developing complex applications efficiently.
  • Community Support
    An active community supports Parse-Server, providing regular updates, plugins, and extensions that can help solve common issues and expand the server's capabilities.

Possible disadvantages of Parse-Server

  • Self-Hosting Requirements
    Unlike fully managed BaaS platforms, you need to set up and maintain your own server infrastructure to use Parse-Server, which can be time-consuming and require technical expertise.
  • Limited Native SDKs
    Although Parse-Server provides SDKs for various platforms, it may not offer the same level of support or regular updates as commercial platforms, leading to potential compatibility issues with newer technologies.
  • Scaling Challenges
    Managing and scaling a self-hosted service can be challenging, especially for applications with growing and fluctuating user bases, requiring additional resources and infrastructure management.
  • Potential Feature Lag
    As an open-source project, Parse-Server might lag behind the latest innovations or features that commercial BaaS providers can rapidly implement due to their resources and funding.
  • Community Reliance
    Since Parse-Server is community-driven, critical bug fixes and improvements depend on community input, which can result in slower resolution times compared to proprietary solutions with dedicated support teams.

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.

Parse-Server videos

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MongoDB videos

MySQL vs MongoDB

More videos:

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

Category Popularity

0-100% (relative to Parse-Server and MongoDB)
Developer Tools
100 100%
0% 0
Databases
0 0%
100% 100
Design Prototyping
100 100%
0% 0
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 Parse-Server and MongoDB

Parse-Server Reviews

Firebase Alternative: 3 Open-Source ways to follow
Parse Server comes with a gazillion out-of-the-box features that allows you to get your MVP out quick and effortlessly. Currently, Parse server is the most popular and robust BaaS framework available that helps developers build mobile apps faster without any technical locks. It is an open source version of the Parse backend that can be easily downloaded for free on GitHub....
Source: medium.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.
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, MongoDB should be more popular than Parse-Server. 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.

Parse-Server mentions (5)

  • What to choose for backend
    If you like headless CMS / Backend As A Service you should consider https://directus.io/ or https://github.com/parse-community/parse-server. Both nodejs and open source. Source: almost 3 years ago
  • Any general purpose visualisation "just add the data" framework
    There's numerous standard backends which frontenders could use in simplistic cases to start, say https://github.com/PostgREST/postgrest or https://github.com/parse-community/parse-server. Source: over 3 years ago
  • Show HN: Caffeine, minimum viable back end for prototyping
    Parse is still around and supported: https://github.com/parse-community/parse-server. - Source: Hacker News / over 3 years ago
  • Ask HN: What Back End Framework with User Management Is Your Favorite?
    I am curious what backend framework you would choose to run with for prototyping an application with run of the mill user management requirements. That is functionality along the lines of: session management, password policies, password reset, user verifications, etc. Sadly it seems there really aren't any frameworks that have user management natively supported. The only one I am aware of is [Parse... - Source: Hacker News / almost 4 years ago
  • [Open Source] I made my first app. Its a fully functional social media app. And I decided to open source it.
    I believe you are referring to main.js file. The answer is no. I used parse server for backend. And by default all classes are public which means everyone can read every data. There is a preferred way to prevent this. You disable all class level permissions for every class. Then you put your app logic to cloud code which is main.js file you were looking at. Here is an article about this... Source: about 4 years ago

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
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What are some alternatives?

When comparing Parse-Server and MongoDB, you can also consider the following products

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

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

Moovweb Platform - Other Mobile Development

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

Marvel - Turn sketches, mockups and designs into web, iPhone, iOS, Android and Apple Watch app prototypes.

MySQL - The world's most popular open source database