Try our new research platform with insights from 80,000+ expert users

Faiss vs SingleStore comparison

Meta and SingleStore are both solutions in the Vector Databases category. Meta is ranked #5 with an average rating of 8.0, while SingleStore is ranked #15 with an average rating of 8.3. Meta holds a 5.5% mindshare in VD, compared to SingleStore’s 2.0% 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
  • 3,587 Views
  • 3,336 Comparison Views
100% willing to recommend
SingleStore
Read 6 SingleStore reviews
  • 2,197 Views
  • 593 Comparison Views
100% willing to recommend
 

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.

DOWNLOAD THE COMPLETE REPORT
To learn more, read our detailed Faiss vs. SingleStore Report (Updated: September 2025).
Buyer's Guide
Faiss vs. SingleStore
September 2025
Download the complete report
Helped 869,202 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
5th
Average Rating
8.0
Reviews Sentiment
3.3
Number of Reviews
3
Ranking in other categories
Open Source Databases (12th)
SingleStore
Ranking in Vector Databases
15th
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
6
Ranking in other categories
Database as a Service (DBaaS) (12th)
 

Mindshare comparison

As of October 2025, in the Vector Databases category, the mindshare of Faiss is 5.5%, down from 13.9% compared to the previous year. The mindshare of SingleStore is 2.0%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Market Share Distribution
ProductMarket Share (%)
Faiss5.5%
SingleStore2.0%
Other92.5%
Vector Databases
 

Featured Reviews

Kalindu Sekarage - PeerSpot reviewer
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
Yasin Sarı - PeerSpot reviewer
High-speed data processing, seamless scalability, and excellent high availability making it an optimal choice for those prioritizing performance and efficiency in a database solution
There's a noteworthy consideration when it comes to collecting massive amounts of data. It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks. Attempting to use it for direct extraction, for instance, might lead to memory-related challenges. While MySQL version five might lack extensive SQL capabilities, SingleStore also has its constraints, requiring simpler SQL writing. This becomes evident when seeking advanced functionalities like window functions or JSON functions, where SingleStore doesn't offer an extensive toolkit, necessitating a more straightforward approach to SQL.
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

"I used Faiss as a basic database."
"The product has better performance and stability compared to one of its competitors."
"It's a distributed relational database, so it does not have a single server, it has multiple servers. Its architecture itself is fast because it has multiple nodes to distribute the workload and process large amounts of data."
"The paramount advantage is the exceptional speed."
"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."
"The product can automatically reinstall and reconfigure in case of a shutdown."
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
 

Cons

"It could be more accessible for handling larger data sets."
"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."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
"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."
"We don't get good discounts in Pakistan."
"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."
 

Pricing and Cost Advice

"It is an open-source tool."
"Faiss is an open-source solution."
"SingleStore is a bit expensive."
"I would advise users to try the free 128GB version."
"The product's licensing is not expensive. It is comparable."
"They have two main options: cloud installation and bare-metal installation, each with different pricing models."
"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
report
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
869,202 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
14%
Manufacturing Company
9%
Educational Organization
8%
Financial Services Firm
32%
Computer Software Company
12%
Comms Service Provider
6%
University
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
 

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?
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 do you like most about SingleStore DB?
The paramount advantage is the exceptional speed.
See all answers
What is your experience regarding pricing and costs for SingleStore DB?
Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure. While building an on-premise cluster incurs an initial cost for servers with ample RAM...
See all answers
What needs improvement with SingleStore DB?
There's a noteworthy consideration when it comes to collecting massive amounts of data. It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation...
See all answers
 

Comparisons

Milvus vs Faiss Logo
Milvus vs Faiss
Compared 10% of the time
Elastic Search vs Faiss Logo
Elastic Search vs Faiss
Compared 10% of the time
Chroma vs Faiss Logo
Chroma vs Faiss
Compared 9% of the time
Redis vs Faiss Logo
Redis vs Faiss
Compared 9% of the time
Supabase Vector vs Faiss Logo
Supabase Vector vs Faiss
Compared 8% of the time
More Faiss Competitors
ClickHouse vs SingleStore Logo
ClickHouse vs SingleStore
Compared 11% of the time
SQL Server vs SingleStore Logo
SQL Server vs SingleStore
Compared 9% of the time
Supabase Vector vs SingleStore Logo
Supabase Vector vs SingleStore
Compared 8% of the time
CockroachDB vs SingleStore Logo
CockroachDB vs SingleStore
Compared 7% of the time
Oracle Database vs SingleStore Logo
Oracle Database vs SingleStore
Compared 6% of the time
More SingleStore Competitors
 

Product Reports

Buyer's Guide
Open Source Databases
October 2025
Faiss reportDownload Faiss product report
Buyer's Guide
SingleStore
September 2025
SingleStore reportDownload 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.

Meta

SingleStore delivers the performance you need for enterprise AI, providing the most performant data platform for apps and analytics at scale. SingleStore enables organizations to scale from one to one million customers in one unified platform. SingleStore offers transparent pricing as shown here https://www.singlestore.com/pricing/

SingleStore caters to over 400 customers globally, including major banks and tech companies in 50+ countries and 40+ verticals. It offers seamless scaling for both transactional and analytical workloads, simplifying data management with its MySQL compatibility and real-time processing capabilities. SingleStore's distributed architecture ensures speed and reliability, efficiently handling large data volumes.

What are the key features of SingleStore?

  • MySQL Compatibility: Eases the learning curve for users.
  • Built-in Pipelines: Connects to S3, Kafka, and more.
  • High Concurrency: Processes billions of records swiftly.
  • Replication & Failover: Enhances speed and reliability.
  • In-memory Storage: Ensures data safety and quick access.

What benefits can users find in SingleStore reviews?

  • Automatic Reconfiguration: Simplifies management tasks.
  • Impressive SQL Performance: Supports complex queries efficiently.
  • Scalability: Handles large datasets with a multi-node setup.

Top banks and fintech companies leverage SingleStore for efficient management of financial data, while media and telecom industries use it for scalable metadata management and improved data processing. Retail and eCommerce sectors benefit from enhanced transactional capabilities, reducing the need for separate databases and optimizing reporting processes. SingleStore's capacity to unite diverse workloads makes it a strategic choice across many sectors.

SingleStore
 

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
September 2025
Free Report: Faiss vs. SingleStore
Find out what your peers are saying about Faiss vs. SingleStore and other solutions. Updated: September 2025.
DOWNLOAD NOW
869,202 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.