Faiss vs SingleStore comparison

Meta and SingleStore are both solutions in the Vector Databases category. Meta is ranked #13 with an average rating of 8.0, while SingleStore is ranked #16 with an average rating of 8.0. Meta holds a 4.4% mindshare in VD, compared to SingleStore’s 3.2% mindshare. Additionally, 100% of Meta users are willing to recommend the solution, compared to 100% of SingleStore users who would recommend it.

Faiss

Read 3 Faiss reviews

2,954 Views
2,363 Comparison Views

100% willing to recommend

SingleStore

Read 9 SingleStore reviews

4,234 Views
1,609 Comparison Views

100% willing to recommend

Faiss

SingleStore

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 5, 2025

SingleStore and Faiss operate in the realm of data processing and analytics. While SingleStore leads in pricing and support, Faiss holds an advantage in functionality due to its robust feature set.

Features: SingleStore offers high-speed transaction processing, scalability for real-time analytics, and complex query handling. Faiss provides efficient similarity search capabilities, which are ideal for AI and machine learning applications. These platforms differ in their primary functions, with SingleStore focused on operational efficiency and Faiss on specialized data search and retrieval tasks.

Ease of Deployment and Customer Service: SingleStore ensures seamless cloud integration and provides responsive support, highlighting its emphasis on easy setup and ongoing assistance. Faiss, while straightforward for those skilled in AI technologies, demands specific expertise for optimal deployment. SingleStore's priority on customer experience contrasts with Faiss's technical deployment focus.

Pricing and ROI: SingleStore offers competitive pricing aimed at maximizing ROI through high-performance analytics. Faiss necessitates a more significant initial investment in technical expertise, promising substantial ROI for organizations enhancing search operations within machine learning projects. SingleStore's strength is in cost-effective solutions, while Faiss offers value through advanced capabilities.

To learn more, read our detailed Faiss vs. SingleStore Report (Updated: April 2026).

Buyer's Guide

Faiss vs. SingleStore

April 2026

Download the complete report

Helped 900,747 peers since 2012

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 Vector Databases

13th

Average Rating

8.0

Reviews Sentiment

3.3

Number of Reviews

Ranking in other categories

Open Source Databases (12th)

SingleStore

Ranking in Vector Databases

16th

Average Rating

8.6

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (11th)

Mindshare comparison

As of June 2026, in the Vector Databases category, the mindshare of Faiss is 4.4%, down from 6.7% compared to the previous year. The mindshare of SingleStore is 3.2%, up from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Mindshare Distribution
Product	Mindshare (%)
Faiss	4.4%
SingleStore	3.2%
Other	92.4%

Vector 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.

Read full review

Kelvin Ben

Senior Software Engineer at Honeywell

Real-time analytics has transformed daily decisions and delivers fast dashboards from streaming data

The best features SingleStore offers include fast data recovery and data compression by 80 percent. Having the information in sheets helps me to process the information quickly. Simplicity in T-SQL is another aspect I appreciate. Data recovery and sheet-based processing help my team on a day-to-day basis by enabling us to handle information efficiently. I would like to add that the data compression by 80 percent helps us in an excellent way since we are very fast in obtaining the data for our dashboards and the compression of the information is great. SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone. It has been very helpful because our internal clients are happy to have the data and make data-driven decisions easily. Making decisions based on data within a two-hour delay to the transactional database is excellent since we went from twenty-four hours to two hours. I think the best contribution is decision-making with data that is close to reality. Reducing that delay from twenty-four hours to two hours has significantly affected my team and business outcomes by increasing productivity. We have been able to serve all our customers, and they are very happy. We can deliver to them on time.

Read full 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."

"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."

"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."

"MemSQL is a very powerful database."

"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."

"The paramount advantage is the exceptional speed."

"SingleStore has impacted my organization positively because the output and performance of the app have been improved."

"SingleStore's speed and scalability have made a significant difference for our team, as we scaled without major performance issues and reports, dashboards, and data segments that previously took much longer to generate are now produced in real time, which overall improves the user experience and helps teams access insights faster for operational and decision-making."

"The product can automatically reinstall and reconfigure in case of a shutdown."

More SingleStore pros

Cons

"It would be beneficial if I could set a parameter and see different query mechanisms being run."

"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."

"It could be more accessible for handling larger data sets."

"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."

"I have noticed that SingleStore can be improved because the integration of SingleStore with DataDog is not good."

"SingleStore can be improved in the aspect that the Azure pipelines do not have many parameterization features compared to others, for example, AWS."

"Having the ability to migrate servers using a single command would be extremely beneficial."

"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."

"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."

"For new customers, it's very tough to start. Their documentation isn't organized, and there's no online training available. SingleStore is working on it, but that's a major drawback."

"We don't get good discounts in Pakistan."

More SingleStore cons

Pricing and Cost Advice

"It is an open-source tool."

"Faiss is an open-source solution."

"SingleStore is a bit expensive."

"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."

"The product's licensing is not expensive. It is comparable."

"I would advise users to try the free 128GB version."

"They have two main options: cloud installation and bare-metal installation, each with different pricing models."

See which vendors are best for you

Use our free recommendation engine to learn which Vector Databases solutions are best for your needs.

See recommendations

900,747 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

Comms Service Provider

Computer Software Company

Financial Services Firm

29%

Computer Software Company

Comms Service Provider

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	5
Large Enterprise	5

Questions from the Community

What is your experience regarding pricing and costs for Faiss?

I did not purchase FAISS through the AWS Marketplace because FAISS is an open-source product. My experience with pricing, setup cost, and licensing is straightforward, as there is no cost for acqui...

See all answers

What needs improvement with Faiss?

I currently do not think there is anything to be improved based on our experience, as Faiss performs as we expected for our workflow. I would like to see improvement in the fact that FAISS currentl...

See all answers

What is your primary use case for Faiss?

My main use case for FAISS is in a retrieval-augmented generation project using it with OpenAI, where we use FAISS to store our embeddings created by the Colbert model and for retrieval as well. In...

See all answers

What is your experience regarding pricing and costs for SingleStore DB?

I cannot share much about how SingleStore is deployed due to company policy.

See all answers

What needs improvement with SingleStore DB?

SingleStore is very well at the current stage, but I see room for improvement in ease of administration, monitoring, and reducing troubleshooting time. Better documentation for advanced use cases, ...

See all answers

What is your primary use case for SingleStore DB?

SingleStore is our main platform for handling high-performance real-time analytics of large data volumes, providing transactional and operational data on a single platform. One specific example of ...

See all answers

Comparisons

Redis vs Faiss

Compared 8% of the time

Qdrant vs Faiss

Compared 8% of the time

PostgreSQL vs Faiss

Compared 7% of the time

MySQL vs Faiss

Compared 7% of the time

Milvus vs Faiss

Compared 6% of the time

More Faiss Competitors

MongoDB Atlas vs SingleStore

Compared 9% of the time

Redis vs SingleStore

Compared 6% of the time

ClickHouse vs SingleStore

Compared 5% of the time

Amazon RDS vs SingleStore

Compared 5% of the time

CockroachDB vs SingleStore

Compared 5% of the time

More SingleStore Competitors

Product Reports

Buyer's Guide

Open Source Databases

June 2026

Download Faiss product report

Buyer's Guide

SingleStore

May 2026

Download SingleStore 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

400+ customers including: 6sense, Adobe, Akamai, Ant Money, Arcules, CARFAX, Cigna, Cisco, Comcast, DELL, DBS Bank, Dentsu, DirectlyApply, EY, Factors.AI, Fathom Analytics, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, impact.com, Kroger, LG, LiveRamp, Lumana, Nvidia, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, SegMetrics, Siemens, SiteImprove, SiriusXM, SK Telecom, SKAI, SONY, STC, SunRun, TATA, Thorn, ZoomInfo.

Buyer's Guide

Faiss vs. SingleStore

April 2026

Free Report: Faiss vs. SingleStore

Find out what your peers are saying about Faiss vs. SingleStore and other solutions. Updated: April 2026.

DOWNLOAD NOW

900,747 professionals have used our research since 2012.

See our Faiss vs. SingleStore report.

See our list of best Vector Databases vendors.

We monitor all Vector 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.