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Azul Zulu vs Deepset AI Platform 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

Azul Zulu
Ranking in AI Customer Experience Personalization
24th
Average Rating
8.6
Reviews Sentiment
7.7
Number of Reviews
2
Ranking in other categories
Application Infrastructure (11th), AI Content Creation (11th)
Deepset AI Platform
Ranking in AI Customer Experience Personalization
27th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
AI Finance & Accounting (8th)
 

Mindshare comparison

As of August 2026, in the AI Customer Experience Personalization category, the mindshare of Azul Zulu is 1.0%, down from 16.0% compared to the previous year. The mindshare of Deepset AI Platform is 0.7%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Customer Experience Personalization Mindshare Distribution
ProductMindshare (%)
Azul Zulu1.0%
Deepset AI Platform0.7%
Other98.3%
AI Customer Experience Personalization
 

Featured Reviews

BasilJiji - PeerSpot reviewer
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.
CH
Gen Ai Engineer at extend 7.ai
Pipeline framework has transformed how I evaluate RAG models and optimize vector search
The best feature Deepset AI Platform offers is the pipeline feature that is very easy for me to compose the large language model as well as the vector database search and retrieval, allowing me to build the application and the evaluation script within a very short period of time. The pipeline feature and the ease of composing with large language models and vector search save me a lot of time by not writing the code from scratch. I just build the pipeline because Deepset AI Platform provides the out-of-the-box integration with the tools and stack that I am using, including the OpenAI model as well as the Pinecone API. I do not need to implement the details; I just use the existing tools in Haystack, pulling it together for the pipeline. This allows me to avoid too much detailed coding and saves me a lot of work, enabling me to focus on the evaluation. Deepset AI Platform positively impacts our organization because we previously did not use any framework for Gen AI applications, and the introduction of this stack provides a framework for our team. It lets our team think about it and shows that it is worth introducing a framework in the future.

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."
"We've had no issues with stability."
"The best feature Deepset AI Platform offers is the pipeline feature that is very easy for me to compose the large language model as well as the vector database search and retrieval, allowing me to build the application and the evaluation script within a very short period of time."
"Specific outcomes since using Deepset AI Platform include ROI from fewer unsupported AI answers, faster context retrieval, and better manager trust in our quality answers."
 

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."
"It needs a better update daemon. At this time the process is manual and could be an issue on multiple desktop deployments."
"Deepset AI Platform's accuracy and reliability of output are very good when the pipeline is simple and the data is already clean. However, when the data is not clean and the pipeline is complex, the quality and reliability of Deepset AI Platform decrease."
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Top Industries

By visitors reading reviews
Financial Services Firm
29%
Construction Company
13%
Manufacturing Company
11%
Retailer
8%
Construction Company
42%
Comms Service Provider
13%
Outsourcing Company
7%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

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 needs improvement with Deepset AI Platform?
Deepset AI Platform can be improved by simplifying pipeline management and providing easier debugging for complex Retrieval-Augmented Generation flows. To improve my experience with Deepset AI Plat...
What is your primary use case for Deepset AI Platform?
My main use case for Deepset AI Platform is utilizing it as an AI orchestration layer for RAG, search, and agentic workflows. I use this as an AI orchestration solution for GenAI applications and f...
What advice do you have for others considering Deepset AI Platform?
My advice for others looking into using Deepset AI Platform is to know your use cases. There are many options in the market including LangChain, LlamaIndex, and Pinecone Assistant. It is crucial to...
 

Overview

 

Sample Customers

Microsoft, Kyocera, OKI, Alcatel-Lucent Enterprise, Voya Financial
Information Not Available
Find out what your peers are saying about Azul Zulu vs. Deepset AI Platform and other solutions. Updated: July 2026.
909,725 professionals have used our research since 2012.