Faiss vs MongoDB comparison

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681 views|639 comparisons
100% willing to recommend
MongoDB Logo
198 views|127 comparisons
91% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Faiss and MongoDB based on real PeerSpot user reviews.

Find out in this report how the two Open Source Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Faiss vs. MongoDB Report (Updated: June 2024).
772,649 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The product has better performance and stability compared to one of its competitors.""I used Faiss as a basic database."

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"MongoDB is simpler to learn and implement than traditional SQL solutions like MySQL.""The reports are useful for controlling the load of our whole architecture.""The most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that.""The most valuable feature of MongoDB is the ease of connections, aggregation, and queries.""The aggregation framework is very powerful when elaborating on data.""We can define security rules at the database level or the cluster level to grant or deny access to particular users.""It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings.""It is easy to set up."

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Cons
"It would be beneficial if I could set a parameter and see different query mechanisms being run.""It could be more accessible for handling larger data sets."

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"A normal Oracle or database tester will take some time to gear up to MongoDB because the way of writing queries is different in MongoDB. There should be some kind of midway where a person who is coming from an Oracle background can write a query and get a response by using something like a select * statement or other such things. There should be some way for MongoDB to interpret these commands rather than making a person learn MongoDB commands and writing them. I struggled while writing these MongoDB commands. I had not seen such queries before. It was pretty difficult to get them. This is one of the areas where it would help from the improvement standpoint.""It would be good to have scalability for clusters. For example, if we have three clusters, we should be able to increase to five clusters if required. I am not sure if such a feature is currently there. I hope there is good documentation for this.""It isn't easy to recognize entities with MongoDB.""You need integration with other tools to run the query in MongoDB.""The solution could include more integrations with other platforms.""It would be much more useful if I have an admin user and a password.""I'd like to see an ID generator. It's very technical but I don't think it has one, so we have to go to great lengths to work around that.""It should have GUI for managing clusters. MongoDB needs a more powerful GUI to manage clusters and make switchovers. Currently, there is no good, free tool to check the replication to find out if there is a gap."

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Pricing and Cost Advice
  • "It is an open-source tool."
  • "Faiss is an open-source solution."
  • More Faiss Pricing and Cost Advice →

  • "We are using the Community Edition of MongoDB."
  • "It is rather expensive."
  • "MongoDB is an open-source solution."
  • "This is an open-source solution."
  • "We use the open-source version, which is available to use free of charge."
  • "I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."
  • "MongoDB is not expensive."
  • "At the moment, all customers are using the community version."
  • More MongoDB Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:I used Faiss as a basic database.
    Top Answer:I didn't know what algorithm was being learned to fetch my query. It would be beneficial if I could set a parameter and see different query mechanisms being run. I can then compare the results to see… more »
    Top Answer:MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.
    Top Answer:The product is affordable, but I don't have direct comparisons with other products as I haven't been involved in the billing process.
    Top Answer:Improvements could be made in query optimization, particularly when performing lookups or joining tables. Input functions to restrict the amount of data passed in pipelines would be beneficial for… more »
    Ranking
    12th
    Views
    681
    Comparisons
    639
    Reviews
    1
    Average Words per Review
    218
    Rating
    7.0
    5th
    Views
    198
    Comparisons
    127
    Reviews
    27
    Average Words per Review
    362
    Rating
    7.9
    Comparisons
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    Compared 1% of the time.
    InfluxDB logo
    Compared 30% of the time.
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    Compared 17% of the time.
    ScyllaDB logo
    Compared 12% of the time.
    Cassandra logo
    Compared 6% of the time.
    Qdrant logo
    Compared 2% of the time.
    Learn More
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    Overview

    Faiss is a powerful library for efficient similarity search and nearest neighbor retrieval in large-scale datasets. It is widely used in image and text processing, recommendation systems, and natural language processing. 

    Users appreciate its speed, scalability, and ability to handle high-dimensional data effectively. Faiss also offers easy integration and extensive support for different programming languages. 

    Its valuable features include efficient search capabilities, support for large-scale datasets, various similarity measures, easy integration, and comprehensive documentation and community support.

    Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit www.mongodb.com.

    MongoDB Features

    MongoDB has many valuable key features. Some of the most useful ones include:

    • Load balancing: MongoDB supports large-scale load balancing via horizontal scaling features like replication and sharding.
    • Ad-hoc queries: With this feature, developers are able to update ad-hoc queries in real time.
    • Sharding: With MongoDB, sharding allows for much greater horizontal scalability, with queries that are directed to the correct shard based on specific shard keys.
    • Indexing: MongoDB allows indexing to be created on demand, accommodating real-time, ever-changing query patterns and application requirements. They can also be declared on any field within any document, including those nested within arrays.
    • Replication: MongoDB’s replication feature enables you to deploy multiple servers for disaster recovery and backup, which helps increase data availability and stability.

    MongoDB Benefits

    There are many benefits to implementing MongoDB. Some of the biggest advantages the solution offers include:

    • Horizontal architecture: Because MongoDB is designed with horizontal architecture, it is easy to scale.
    • Developer-friendly: Being that MongoDB is a document data model with NoSQL, developers are able to work faster. In addition, MongoDB gives developers a number of useful out-of-the-box capabilities, whether you need to run privately on site or in the public cloud.
    • Cloud-based: Because MongoDB is a full cloud-based application data platform, you gain access to a collection of services that can integrate nicely with your database.
    • Powerful analytics: MongoDB is designed to make data easy to access, and also allows you to perform complex analytics and querying.
    • High performance: With MongoDB, information can be embedded inside a single document rather than relying on expensive join operations from traditional relational databases.
    • Easy to install: MongoDB has an intuitive UI, making it easy to install. You can install the community or enterprise version directly on a server, create your own container, or use a pre-built community one.
    • Cost-effective: MongoDB gives you the option to choose an instance size that fits your current needs to help you keep your costs at a minimum.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the MongoDB solution.

    PeerSpot user Deepak K., Managing Director at SimSol Technologies And Services Pvt Ltd., says, “The solution is a very dynamic product. It becomes extremely easy for us to support user requirements and we also make use of the simplicity of a cloud redeployment.” He goes on to add, “The solution is easy to deploy, and the product can scale quite well. The solution's most important aspect is its seamless database. The solution offers excellent documentation.”

    A Senior Associate at a financial services firm mentions, “The most valuable feature of the solution is the ability to easily store documentation regarding structures. We can easily connect to MongoDB and search without transformation, without joining. If we want to use a simple search it's really fast. The initial setup isn't really that complex. The solution is pretty stable overall.”

    Sample Customers
    1. Facebook 2. Airbnb 3. Pinterest 4. Twitter 5. Microsoft 6. Uber 7. LinkedIn 8. Netflix 9. Spotify 10. Adobe 11. eBay 12. Dropbox 13. Yelp 14. Salesforce 15. IBM 16. Intel 17. Nvidia 18. Qualcomm 19. Samsung 20. Sony 21. Tencent 22. Alibaba 23. Baidu 24. JD.com 25. Rakuten 26. Zillow 27. Booking.com 28. Expedia 29. TripAdvisor 30. Rakuten 31. Rakuten Viber 32. Rakuten Ichiba
    Facebook, MetLife, City of Chicago, Expedia, eBay, Google
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm13%
    Manufacturing Company9%
    University8%
    REVIEWERS
    Computer Software Company28%
    Financial Services Firm16%
    Legal Firm6%
    Government6%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company14%
    University7%
    Comms Service Provider6%
    Company Size
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise12%
    Large Enterprise64%
    REVIEWERS
    Small Business41%
    Midsize Enterprise14%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise13%
    Large Enterprise62%
    Buyer's Guide
    Faiss vs. MongoDB
    June 2024
    Find out what your peers are saying about Faiss vs. MongoDB and other solutions. Updated: June 2024.
    772,649 professionals have used our research since 2012.

    Faiss is ranked 12th in Open Source Databases with 2 reviews while MongoDB is ranked 5th in Open Source Databases with 70 reviews. Faiss is rated 8.0, while MongoDB is rated 8.2. The top reviewer of Faiss writes "Provides quick query search and has a big database". On the other hand, the top reviewer of MongoDB writes "Lightweight with good flexibility and very fast performance for searching data". Faiss is most compared with Chroma, Elastic Search, Qdrant, Pinecone and Cassandra, whereas MongoDB is most compared with InfluxDB, Couchbase, ScyllaDB, Cassandra and Qdrant. See our Faiss vs. MongoDB report.

    See our list of best Open Source Databases vendors.

    We monitor all Open Source Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.