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Cyera vs Pinecone comparison

 

Comparison Buyer's Guide

Executive Summary

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

Cyera
Ranking in AI Data Analysis
12th
Average Rating
8.6
Reviews Sentiment
7.7
Number of Reviews
4
Ranking in other categories
Data Loss Prevention (DLP) (9th), Data Governance (20th), Data Security Posture Management (DSPM) (9th), AI Security (7th)
Pinecone
Ranking in AI Data Analysis
8th
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
17
Ranking in other categories
Vector Databases (3rd), AI Content Creation (4th)
 

Mindshare comparison

As of May 2026, in the AI Data Analysis category, the mindshare of Cyera is 1.1%, down from 15.9% compared to the previous year. The mindshare of Pinecone is 0.5%, down from 4.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Pinecone0.5%
Cyera1.1%
Other98.4%
AI Data Analysis
 

Featured Reviews

reviewer2795301 - PeerSpot reviewer
Vice President, Compliance at a manufacturing company with 1-10 employees
Data discovery has accelerated and now drives faster classification and compliance mapping
The best features Cyera offers include agentless discovery and sampling as well as AI ML-based classifications. I find myself relying on the sampling the most, which makes everything really fast, but also the auto-classification and ML-based functionalities. The main thing that stands out to me and my team about the features is the speed of integration and how fast it does the discovery on the data. Once it discovers the data, it also maps it back to a ton of compliance frameworks and best practices that I can use to operationalize. Cyera has positively impacted my organization by allowing me to identify the highest risk areas but also provide better classification of data, which then leads to better data pillar maturity. Cyera has accomplished all three outcomes: saving time, reducing risk, and improving compliance scores, as the speed at which it discovers data was significantly faster.
Harshwardhan Gullapalli - PeerSpot reviewer
AI Engineer at a educational organization with 51-200 employees
Semantic search has transformed financial document discovery and supports real-time RAG chat
On the integration side, Pinecone's Python SDK is straightforward. It integrates well with the usual AI stack like LangChain and LlamaIndex. That was smooth for me. Where it could improve is around documentation for edge cases. For instance, handling metadata filtering at scale, understanding the right embedding dimensions for different use cases, and best practices for indexing strategies. Those topics felt sparse in the documentation. More real-world tutorials specific to common patterns like RAG or recommendation systems would help developers ramp up faster. On support, the community is helpful, but if you hit something tricky and you are on a lower-tier plan, getting quick answers can be slow. Better-tiered support or more comprehensive troubleshooting guides would be valuable, especially for production deployments where latency is critical.

Quotes from Members

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

Pros

"I like how they model the data. They find data in different places that we didn't know, and they can give us a good idea if it's sensitive or not. They understand whether or not something is in the right region because, with the cloud posture management tool, we could see certain things in the infrastructure, but the way they dig into the data is what we like."
"Cyera has an inbuilt set of policies implemented towards data security, especially cohering with Data Security Posture Management (DSPM)."
"Cyera has positively impacted my organization by allowing me to identify the highest risk areas but also provide better classification of data, which then leads to better data pillar maturity."
"The data discovery, data classification, and CSPM features are most valuable."
"We chose Pinecone because it covers most of the use cases."
"The most valuable features of the solution are similarity search and maximal marginal relevance search for retrieval purposes."
"Pinecone is a great platform; it's easy to use with clean SDKs, so it becomes always a go-to option when I think of a vector database."
"Pinecone has positively impacted our organization by enhancing efficiency for the team, and the long-term effect has been that the chats have become much more personalized due to the memory added through a vector database."
"The best thing about Pinecone is its private local host feature. It displays all the maintenance parameters and lets us view the data sent to the database. We can also see the status of the CD and which application it corresponds to."
"Pinecone's integration with AWS was seamless."
"Compared to any other vector databases, Pinecone is a little ahead due to its latency, scalability, and robust architecture."
"Pinecone has positively impacted our organization by enhancing efficiency for the team, and the long-term effect has been that the chats have become much more personalized due to the memory added through a vector database."
 

Cons

"The licensing initially was tricky because it is based on storage as well as user count."
"There is room for improvement in making Cyera more user-friendly. Some parts were difficult to navigate, especially for those new to the IT industry."
"They need to add a few things in the UI from an enterprise perspective. It's more along the lines of being able to self-service, have integrations, build alerts, and things like that. Outside of that, they work with us on the API and getting alerts into our SIEM and things like that. There's always a way to do something, and they're always available, which is nice."
"As a startup company, there is a long way for them to go in terms of scalability."
"Pinecone needs to be upgraded because many companies are not using Pinecone for production."
"From a cost perspective, I believe Pinecone is a bit expensive compared to other solutions such as FAISS and Milvus, which are free and open source, while Weaviate is more cost-effective at scale, so I would request improvement in Pinecone's pricing structure."
"A major reason we did not use Pinecone is that the serverless region was only in the United States; if it were available in India with serverless out-of-the-box implementation, we would have definitely used Pinecone."
"Pinecone is good as it is, but had it been on AWS infrastructure, we wouldn't experience some network lags because it's outside AWS."
"For testing purposes, the product should offer support locally as it is one area where the tool has shortcomings."
"One major issue I have noticed with Pinecone is that it does not allow me to search based on metadata."
"I want to suggest that Pinecone requires a login and API key, but I would prefer not to have a login system and to use the environment directly."
"Pinecone can be made more budget-friendly."
 

Pricing and Cost Advice

"I don't know how much exactly it costs, but I know that it's a yearly thing. It's something that will cost money for any company because they're storing all this information. They're doing all this machine learning, and there are a lot of services on their backend that they got to pay for. I'm sure it gets translated back to the customers unless you have everything completely on-prem. If you're not doing much in the cloud, then I could see how it'd be cheaper, but if you have anything that's cloud-hosted and does all the work for you, there's going to be a cost associated with it."
"Compared to the competitors, they are very reasonable."
"I think Pinecone is cheaper to use than other options I've explored. However, I also remember that they offer a paid version."
"I have experience with the tool's free version."
"The solution is relatively cheaper than other vector DBs in the market."
"Pinecone is not cheap; it's actually quite expensive. We find that using Pinecone can raise our budget significantly. On the other hand, using open-source options is more budget-friendly."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
8%
Healthcare Company
8%
Computer Software Company
11%
University
9%
Financial Services Firm
8%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise8
 

Questions from the Community

What is your experience regarding pricing and costs for Cyera ?
My experience with pricing, setup cost, and licensing for Cyera was that the licensing initially was tricky because it is based on storage as well as user count. I use Cyera to actually identify ho...
What needs improvement with Cyera ?
I think the area for improvement in Cyera is probably around integration, particularly with other platforms and third-party tools. For example, I see some integration areas with leading DLP solutio...
What is your primary use case for Cyera ?
My main use case for Cyera includes data visibility, data tagging, data classification, AI assessments, and policy governance, risk, and compliance policy. For data classification, I import structu...
What needs improvement with Pinecone?
Pinecone is not open-source. The cost can escalate based on the pay-as-you-go pricing, so when there are high volume large embeddings, the cost would automatically rise. Additionally, there is no o...
What is your primary use case for Pinecone?
I have been using Pinecone for two years, starting with agents and RAG models. My main use case for Pinecone is to build a RAG model to create chatbots for enterprise. We created a chatbot and used...
What advice do you have for others considering Pinecone?
If you are looking for a highly scalable, performance-oriented, highly reliable system, go for Pinecone. It is especially designed for handling AI use cases. I would give Pinecone a rating of seven...
 

Comparisons

 

Overview

 

Sample Customers

Cyera's customers include the Chicago Board of Options Exchange (Cboe), Granicus, Takeda, LifeLabs, United Talent Agency, ACV Auctions, and Armis
1. Airbnb 2. DoorDash 3. Instacart 4. Lyft 5. Pinterest 6. Reddit 7. Slack 8. Snapchat 9. Spotify 10. TikTok 11. Twitter 12. Uber 13. Zoom 14. Adobe 15. Amazon 16. Apple 17. Facebook 18. Google 19. IBM 20. Microsoft 21. Netflix 22. Salesforce 23. Shopify 24. Square 25. Tesla 26. TikTok 27. Twitch 28. Uber Eats 29. WhatsApp 30. Yelp 31. Zillow 32. Zynga
Find out what your peers are saying about Cyera vs. Pinecone and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.