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Fellow.app VS MongoDB

Compare Fellow.app VS MongoDB and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

Fellow.app logo Fellow.app

Fellow is the most complete AI meeting management platform built for teams that want to move faster and smarter

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
  • Fellow.app AI Meeting Transcription & Summaries
    AI Meeting Transcription & Summaries //
    2024-07-04
  • Fellow.app Collaborative Meeting Notes
    Collaborative Meeting Notes //
    2024-07-04
  • Fellow.app Apps & Extensions
    Apps & Extensions //
    2024-07-04
  • Fellow.app 50+ Native Integrations
    50+ Native Integrations //
    2024-07-04
  • Fellow.app Track Action Items
    Track Action Items //
    2024-07-04
  • Fellow.app 500+ Meeting Agenda Templates
    500+ Meeting Agenda Templates //
    2024-07-04

Fellow connects every meeting in your calendar to your AI recaps, agendas, and notes so that nothing slips through the cracks.

Fellow fits seamlessly into your team’s existing daily flow with 50+ native integrations, browser extensions and a desktop app so everything you need before, during and after your meeting is right where you need it, when you need it.

Organizations like Shopify, HubSpot, and Lemonade use Fellow to foster efficient meeting cultures with an AI Copilot to record every discussion and decision, collaborative agendas, and analytics.

  • MongoDB Landing page
    Landing page //
    2023-10-21

Fellow.app features and specs

  • Fellow's AI Meeting Copilot
    Fellow’s AI Meeting Copilot automatically records, transcribes, and summarizes your meetings while seamlessly integrating into your meeting workflow and favorite tools.
  • Ask Copilot
    Ask your Fellow Copilot any questions about the meeting and get answers to all your questions. You can even ask it things like “What should I follow up on next meeting?” or “What should I prioritize based on the discussion?”.
  • Collaborative Meeting Notes
    Collaborative agendas ensure everyone has the context and information to show up ready to contribute
  • Action Items
    Assign action items and sync them with your project management tools to ensure accountability and cross-functional alignment.
  • Meeting Guidelines
    Get your team working together to transform meetings across your organization with meeting best practices integrated into every Google or Outlook Calendar event.

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.

Fellow.app videos

+ Add

Fellow 4.5 Product Launch | April 2024

More videos:

  • Demo - Fellow AI Meeting Copilot

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 Fellow.app and MongoDB)

Fellow.app

MongoDB

Productivity
100 100%
Productivity
0% 0
Databases
0 0%
Databases
100% 100
Meetings
100 100%
Meetings
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

Share your experience with using Fellow.app and MongoDB. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Fellow.app and MongoDB

Fellow.app Reviews

Top Otter AI Alternatives in 2024
You officially have all the information you need to choose the best transcription software! Remember, depending on your needs, it may be best to choose comprehensive meeting productivity tools over AI transcription tools. Take Fellow for example. Unlike other AI transcription tools, Fellow extends beyond transcription services and instead helps users manage the entire...
Source: meetingnotes.com
The 12 Best Notta.ai Alternatives for Better Transcription in 2024
Fellow is a meeting management software that assists teams in organizing and enhancing their meeting processes. Designed for remote and hybrid teams, Fellow provides tools for collaborative meeting notes, agenda management, and action item tracking. It aims to improve productivity and ensure accountability within organizations.
Source: sonix.ai

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 Fellow.app. 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.

Fellow.app mentions (2)

  • Launch HN: Hypercontext (YC S21) – Meeting notes+actions+feedback+okrs, one app
    Looks a bit similar to Fellow.app (https://fellow.app), but I'm glad there's more choices/competition in this space (good for innovation and for users). - Source: Hacker News / almost 4 years ago
  • Launch HN: Hera (YC S21) – macOS app to prepare, join and take notes in meetings
    You're entering a pretty crowded market. Have you taken a look at Fellow? https://fellow.app/ Just trying to figure out what makes this product better than the hundreds out there. - Source: Hacker News / almost 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 / 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 Fellow.app and MongoDB, you can also consider the following products

Fireflies.ai - Record, transcribe and search your calls

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

Hugo - Hugo is a general-purpose website framework for generating static web pages.

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

Otter.ai - Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.

MySQL - The world's most popular open source database

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