Azul Zulu vs Pinecone comparison

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Azul Zulu

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Executive Summary

We performed a comparison between Azul Zulu and Pinecone based on real PeerSpot user reviews.

Find out in this report how the two AI Content Creation solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Azul Zulu vs. Pinecone Report (Updated: January 2026).

Azul Zulu vs. Pinecone

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Helped 881,082 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

Azul Zulu

Ranking in AI Content Creation

58th

Average Rating

8.6

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

Application Infrastructure (11th), AI Customer Experience Personalization (21st)

Pinecone

Ranking in AI Content Creation

3rd

Average Rating

8.4

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Vector Databases (6th), AI Data Analysis (14th)

Mindshare comparison

As of January 2026, in the AI Content Creation category, the mindshare of Azul Zulu is 1.0%. The mindshare of Pinecone is 1.1%. It is calculated based on PeerSpot user engagement data.

AI Content Creation Market Share Distribution
Product	Market Share (%)
Pinecone	1.1%
Azul Zulu	1.0%
Other	97.9%

AI Content Creation

Featured Reviews

BasilJiji

System Engineer at a retailer with 10,001+ employees

Standardized our Java estate and have reduced licensing costs while maintaining strong support

Azul Zulu's ability to allow us to standardize our Java estate on a single and well-supported platform stands out as one of its best features. This standardization simplifies our compliance audits and ensures all our applications receive timely security updates.Azul Zulu positively impacts our organization by providing a platform that allows us to standardize Java on a well-supported platform. Without the high cost associated with other proprietary vendors, Azul Zulu provides an excellent platform for running our applications.

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Pradeep Gudipati

Chief Technology Advisor at Kovaad technologies Pvt Ltd

Faced challenges with metadata filtering but have achieved reliable long-term memory for chat applications

We were looking at multiple options for a vector database, and we found Pinecone to be the easiest to integrate into our solution. Plus, it has a very generous free tier, which helps us as a startup. The best features Pinecone offers are quick setup and good indexing for us. The retrieval mechanisms are fast, and the integration with Python as with JavaScript and TypeScript libraries that Pinecone provides are very robust. Authentication is also very good. The namespaces feature allows us to break down or store data for each user separately, reducing interference and maintaining privacy as an important feature. 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. We are seeing that the trainees getting trained on the platform are more satisfied with the results or messages generated by AI.

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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

"We achieved specific outcomes from using Azul Zulu by reducing our Java licensing and support costs by approximately 70% when compared to our previous Oracle contract."

"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."

"Pinecone has positively impacted my organization by helping people in needle-in-a-haystack situations, as previously they had to grind through PDF documents, PowerPoint documents, and websites, but now with Pinecone, they can ask questions and receive references to documents along with the page numbers where that information exists, so they can use it as a reference or backtrack, especially for things such as FDA approvals where they can quote the exact page number from PDF documents, eliminating hallucination and providing real-time data that relies on an external vector database with enough guardrails to ensure it won't provide information not in the vector database, confining it to the information present in the indexes."

"The most valuable features of the solution are similarity search and maximal marginal relevance search for retrieval purposes."

"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."

"We chose Pinecone because it covers most of the use cases."

"The product's setup phase was easy."

More Pinecone pros

Cons

"Improvements for Azul Zulu could include more automated tools for unused code visibility integrated directly into the standard portal to help further optimize our cloud footprints."

"Pinecone can be made more budget-friendly."

"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."

"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."

"For testing purposes, the product should offer support locally as it is one area where the tool has shortcomings."

"The tool does not confirm whether a file is deleted or not."

"The product fails to offer a serverless type of storage capacity."

"One major issue I have noticed with Pinecone is that it does not allow me to search based on metadata."

"Onboarding could be better and smoother."

More Pinecone cons

Pricing and Cost Advice

Information not available

"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."

"I think Pinecone is cheaper to use than other options I've explored. However, I also remember that they offer a paid version."

"The solution is relatively cheaper than other vector DBs in the market."

"I have experience with the tool's free version."

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Top Industries

By visitors reading reviews

Financial Services Firm

30%

Retailer

18%

Computer Software Company

11%

Real Estate/Law Firm

Computer Software Company

14%

Manufacturing Company

Comms Service Provider

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	3

Questions from the Community

What needs improvement with Azul Zulu?

Improvements for Azul Zulu could include more automated tools for unused code visibility integrated directly into the standard portal to help further optimize our cloud footprints. The other core J...

What is your primary use case for Azul Zulu?

Azul Zulu serves as our primary Java runtime, providing a stable, 100% open-source, and certified solution for our production microservices. We utilize it to ensure cross-platform compatibility acr...

What advice do you have for others considering Azul Zulu?

My advice for others looking into using Azul Zulu is to perform a pilot migration with one non-critical application first. You will likely find that it is truly a drop-in replacement, which will gi...

What do you like most about Pinecone?

We chose Pinecone because it covers most of the use cases.

What needs improvement with Pinecone?

I give Pinecone a nine out of ten because I hope it provides an end-to-end agentic solution, but currently, it doesn't have those agentic capabilities, meaning I have to create a Streamlit applicat...

What is your primary use case for Pinecone?

My main use case for Pinecone is creating vector indexes for GenAI applications. A specific example of how I use Pinecone in one of my projects is utilizing a RAG pipeline where I take text from PD...

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Product Reports

Application Infrastructure

Download Azul Zulu product report

Download Pinecone product report

Overview

Zulu is a 100% open source certified build of OpenJDK, running on Linux, Windows, and OS X. Zulu complies with the Java SE standard for Java SE 8, 7, and 6. Free to download and use, Zulu is available on Azure, AWS, Canonical’s Charm Store and the Docker hub. Zulu Enterprise subscriptions deliver 24 x 7 x 365 access to Azul’s Support team.

Azul Systems

Pinecone is a powerful tool for efficiently storing and retrieving vector embeddings. It is highly praised for its scalability, speed, and ease of integration with existing workflows.

Users find it particularly useful for similarity search, recommendation systems, and natural language processing.

Its efficient search capabilities, seamless integration with existing systems, and ability to handle large-scale datasets make it a valuable tool for data analysis and retrieval.

Sample Customers

Microsoft, Kyocera, OKI, Alcatel-Lucent Enterprise, Voya Financial

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

Azul Zulu vs. Pinecone