Faiss vs Oracle MySQL Cloud Service comparison

Meta and Oracle are both solutions in the Open Source Databases category. Meta is ranked #13 with an average rating of 8.0, while Oracle is ranked #7 with an average rating of 8.6. Meta holds a 3.8% mindshare in OSD, compared to Oracle’s 0.5% mindshare. Additionally, 100% of Meta users are willing to recommend the solution, compared to 91% of Oracle users who would recommend it.

Faiss

Read 3 Faiss reviews

3,445 Views
1,516 Comparison Views

100% willing to recommend

Oracle MySQL Cloud Service

Read 21 Oracle MySQL Cloud Service reviews

417 Views
267 Comparison Views

91% willing to recommend

Faiss

Oracle MySQL Cloud Service

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 23, 2025

Oracle MySQL Cloud Service and Faiss compete in data management and retrieval. Faiss leads with advanced capabilities in similarity search, while Oracle focuses on relational database solutions.

Features: Oracle MySQL Cloud Service offers robust data management, high availability, and scalable storage solutions. Faiss provides high-speed similarity search, processing unstructured data effectively.

Ease of Deployment and Customer Service: Oracle MySQL Cloud Service provides seamless deployment via its cloud infrastructure and comprehensive customer support. Faiss, with its open-source model, allows flexible integration, requiring technical expertise and community support.

Pricing and ROI: Oracle MySQL Cloud Service includes an upfront cost for features and support infrastructure, delivering ROI in database management. Faiss, being open-source, has low initial costs, focusing on performance-driven ROI.

To learn more, read our detailed Faiss vs. Oracle MySQL Cloud Service Report (Updated: July 2025).

Buyer's Guide

Faiss vs. Oracle MySQL Cloud Service

July 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Faiss

Ranking in Open Source Databases

13th

Average Rating

8.0

Reviews Sentiment

3.3

Number of Reviews

Ranking in other categories

Vector Databases (5th)

Oracle MySQL Cloud Service

Ranking in Open Source Databases

7th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Relational Databases Tools (10th)

Mindshare comparison

As of August 2025, in the Open Source Databases category, the mindshare of Faiss is 3.8%, down from 3.9% compared to the previous year. The mindshare of Oracle MySQL Cloud Service is 0.5%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases

Featured Reviews

Kalindu Sekarage

Senior Software Engineer

Integration improves accuracy and supports token-level embedding

The best features FAISS offers for my team include seamless integration with Colbert and the ability to use FAISS via the Ragatouille framework, which is tailor-made for using the Colbert model. Feature-wise, FAISS allows for more accurate result retrieval, and retrieval speed is also good when comparing the index size. Regarding features, I also emphasize that the usability of FAISS is very seamless, particularly its integration with Colbert and Ragatouille. FAISS has positively impacted my organization by helping us increase the accuracy of retrieval documents; when we store documents in token-level embedding, the accuracy will be high. Additionally, we do not need any external server to host FAISS, allowing us to integrate it with our backend framework, making it a very flexible framework.

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Raghuram K M

Chief Technology Officer at Prognosys Medical Systems

Ideal, stable, good support and it helps with the developer console

I have used MongoDB, MySQL, and Oracle. MongoDB is entirely different. It's a NoSQL platform database, so it's totally different. It is a little bit hard to work with. The way it is organized and structured is different. But between Microsoft Azure MySQL and Oracle, they are pretty similar. * Cost: Microsoft is not a preferred platform. Their licensing is very complex and expensive. Oracle is much better. * AI: In terms of data analytics and AI, Microsoft is better. Certain complex transformations are easier to do in MSSQL. So, if you have to analyze data from a lot of different data sources, it becomes much easier. However, the usage of the particular product depends on the project. Personally, I would like to work on MySQL. But in certain cases where the application scale is very large, and custom models from certain regions of the globe prefer Microsoft, then we have to go with MSSQL. But technically, there is not much difference.

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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."

"MySQL is a centralized RDBMS in itself, and you don't have the overkill of having the full Oracle or Microsoft SQL Server. It's ideal, and it helps with the developer console. It has three versions for developers. It's a very good tool for open source."

"The most valuable aspect of the product is data migration."

"The access to a suite of management and administration tools that simplify tasks such as database provisioning, configuration, and monitoring."

"The stability of the solution is very good. I wouldn't have used it for the past seven years if I was not satisfied."

"The product is easy to learn."

"The product is good for tuning."

"All the features are excellent."

"It is an established open-source database with a vast array of resources available, ensuring you can learn everything needed."

More Oracle MySQL Cloud Service pros

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."

"One of the drawbacks of Faiss is that it works only in-memory. If it could provide separate persistent storage without relying on in-memory, it would reduce the overhead."

"The product has many bugs."

"The user interface is not simple."

"There could be more courses where the people could learn more easily how to use the tool."

"Integrating business intelligence or NLP solutions would help us save time and would prevent us from having to take a deep dive. Data problems seem to multiply on the system when you interact with it. Automation would save a lot of man-hours."

"There could be improvements, particularly in Firebird, where the indexing is limited to just a single B-tree index, leading to poor performance for large-scale queries."

"Sometimes MySQL does upgrades on the server. When we are still using the old server and when they integrate the upgrade, they don't carry along some of the old syntaxes. The versions don't sync."

"The solution should offer memory management."

"In a production environment, upgrading from a lower to an upper version is a very long process that needs to be improved."

More Oracle MySQL Cloud Service cons

Pricing and Cost Advice

"Faiss is an open-source solution."

"It is an open-source tool."

"Oracle has a better licensing model compared to its competitors."

"The product is free since it is an open-source tool."

"The product is expensive."

"While the core solution itself is not exorbitant, the support services are associated with a significant maintenance fee, often ranging from twenty to thirty percent."

"The solution’s paid plans are expensive."

"The license is expensive."

"It is an open-source product."

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Top Industries

By visitors reading reviews

Computer Software Company

18%

Financial Services Firm

14%

Manufacturing Company

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Faiss?

I used Faiss as a basic database.

See all answers

What is your experience regarding pricing and costs for Faiss?

Faiss is an open-source solution.

See all answers

What needs improvement with Faiss?

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 s...

See all answers

What do you like most about Oracle MySQL Cloud Service?

Oracle MySQL Cloud Service handles data easily.

See all answers

What is your experience regarding pricing and costs for Oracle MySQL Cloud Service?

I have never paid for the full version of Oracle MySQL Cloud Service. We use the free version or the version available in RDS ( /products/amazon-rds-reviews ) from AWS ( /products/amazon-aws-review...

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What needs improvement with Oracle MySQL Cloud Service?

Oracle MySQL Cloud Service should be easier to replicate and integrate into further solutions. Although it targets Linux and UNIX environments, its performance is not as optimized on Windows platfo...

See all answers

Comparisons

Elastic Search vs Faiss

Compared 11% of the time

Milvus vs Faiss

Compared 10% of the time

Chroma vs Faiss

Compared 9% of the time

OpenSearch vs Faiss

Compared 9% of the time

Redis vs Faiss

Compared 9% of the time

More Faiss Competitors

Firebird SQL vs Oracle MySQL Cloud Service

Compared 43% of the time

MySQL vs Oracle MySQL Cloud Service

Compared 29% of the time

Amazon Aurora vs Oracle MySQL Cloud Service

Compared 29% of the time

More Oracle MySQL Cloud Service Competitors

Product Reports

Buyer's Guide

Open Source Databases

July 2025

Download Faiss product report

Buyer's Guide

Oracle MySQL Cloud Service

August 2025

Download Oracle MySQL Cloud Service product report

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.

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

Omnis, Naveex, Rehash Technologies

Buyer's Guide

Faiss vs. Oracle MySQL Cloud Service

July 2025

Free Report: Faiss vs. Oracle MySQL Cloud Service

Find out what your peers are saying about Faiss vs. Oracle MySQL Cloud Service and other solutions. Updated: July 2025.

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