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Elastic Search vs Faiss comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Elastic Search
Ranking in Vector Databases
1st
Average Rating
8.2
Number of Reviews
65
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (11th), Search as a Service (1st)
Faiss
Ranking in Vector Databases
3rd
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
Open Source Databases (14th)
 

Featured Reviews

Saurav Kumar - PeerSpot reviewer
Mar 15, 2024
Provides us with the capability to execute multiple queries according to our requirements
I can describe a project where we use Elasticsearch, Logstash, and Kibana (ELK stack) for our archiving objectives. I work in the security department of a Fintech company in the payment industry. We use the ELK stack to connect our internal systems with the bank's systems and we used Beats for data…
Vasu Bansal - PeerSpot reviewer
May 7, 2024
Provides quick query search and has a big database
I made some vectors for my data set. I added them and got the embeddings from Hugging Face. I made a query key-value pair for Faiss. When you want to do a query search on it, you call Faiss and send your query within it I used Faiss as a basic database. I didn't know what algorithm was being…

Quotes from Members

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

Pros

"Search is really powerful."
"The security portion of Elasticsearch is particularly beneficial, allowing me to view and analyze security alerts."
"Using real-time search functionality to support operational decisions has been helpful."
"The tool's stability and performance are good."
"Gives us a more user-friendly, centralized solution (for those who just needed a quick glance, without being masters of sed and awk) as well as the ability to implement various mechanisms for machine-learning from our logs, and sending alerts for anomalies."
"The most valuable feature is the out of the box Kibana."
"The most valuable features are the data store and the X-pack extension."
"The ability to aggregate log and machine data into a searchable index reduces time to identify and isolate issues for an application. Saves time in triage and incident response by eliminating manual steps to access and parse logs on separate systems, within large infrastructure footprints."
"The product has better performance and stability compared to one of its competitors."
"I used Faiss as a basic database."
 

Cons

"Elasticsearch could be improved in terms of scalability."
"Machine learning on search needs improvement."
"They should improve its documentation. Their official documentation is not very informative. They can also improve their technical support. They don't help you much with the customized stuff. They also need to add more visuals. Currently, they have line charts, bar charts, and things like that, and they can add more types of visuals. They should also improve the alerts. They are not very simple to use and are a bit complex. They could add more options to the alerting system."
"I would rate the stability a seven out of ten. We faced a few issues."
"Ratio aggregation is not supported in this solution."
"There are a lot of manual steps on the operating system. It could be simplified in the user interface."
"New Relic could be more flexible, similar to Elasticsearch."
"I would like to be able to do correlations between multiple indexes."
"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."
 

Pricing and Cost Advice

"The tool is an open-source product."
"ELK has been considered as an alternative to Splunk to reduce licensing costs."
"It can be expensive."
"The solution is less expensive than Stackdriver and Grafana."
"The version of Elastic Enterprise Search I am using is open source which is free. The pricing model should improve for the enterprise version because it is very expensive."
"There is a free version, and there is also a hosted version for which you have to pay. We're currently using the free version. If things go well, we might go for the paid version."
"We are paying $1,500 a month to use the solution. If you want to have endpoint protection you need to pay more."
"The basic license is free, but it comes with a lot of features that aren't free. With a gold license, we get active directory integration. With a platinum license, we get alerting."
"It is an open-source tool."
"Faiss is an open-source solution."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
15%
Manufacturing Company
9%
Government
7%
Computer Software Company
20%
Financial Services Firm
13%
Manufacturing Company
9%
Educational Organization
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about ELK Elasticsearch?
Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time anal...
What is your experience regarding pricing and costs for ELK Elasticsearch?
I am not directly involved with pricing or setup costs. While I know a portion is open-source, a paid version might be necessary.
What needs improvement with ELK Elasticsearch?
An improvement would be to have an interface that allows easier navigation and tracing of logs. The current system requires manually inputting dates to verify alerts. A visual timeline that pinpoin...
What do you like most about Faiss?
I used Faiss as a basic database.
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...
 

Comparisons

 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
No data available
 

Learn More

Video not available
 

Overview

 

Sample Customers

T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
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
Find out what your peers are saying about Elastic Search vs. Faiss and other solutions. Updated: October 2024.
815,854 professionals have used our research since 2012.