Azul Zing vs Reltio Cloud comparison

Azul Systems and Reltio are both solutions in the AI Customer Experience Personalization category. Azul Systems is ranked #34, while Reltio is ranked #18 with an average rating of 8.0. Azul Systems holds a 0.9% mindshare in ACEP, compared to Reltio’s 0.7% mindshare. Additionally, 100% of Azul Systems users are willing to recommend the solution, compared to 100% of Reltio users who would recommend it.

Azul Zing

Read 9 Azul Zing reviews

1,612 Views
758 Comparison Views

100% willing to recommend

Reltio Cloud

Read 16 Reltio Cloud reviews

4,174 Views
459 Comparison Views

100% willing to recommend

Azul Zing

Reltio Cloud

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azul Zing and Reltio Cloud based on real PeerSpot user reviews.

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

To learn more, read our detailed Azul Zing vs. Reltio Cloud Report (Updated: June 2026).

Buyer's Guide

Azul Zing vs. Reltio Cloud

June 2026

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Helped 909,725 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 Zing

Ranking in AI Customer Experience Personalization

34th

Average Rating

9.6

Reviews Sentiment

8.2

Number of Reviews

Ranking in other categories

Application Infrastructure (16th)

Reltio Cloud

Ranking in AI Customer Experience Personalization

18th

Average Rating

8.2

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Cloud Master Data Management (MDM) (4th), AI Data Analysis (13th)

Mindshare comparison

As of August 2026, in the AI Customer Experience Personalization category, the mindshare of Azul Zing is 0.9%, down from 16.0% compared to the previous year. The mindshare of Reltio Cloud is 0.7%. It is calculated based on PeerSpot user engagement data.

AI Customer Experience Personalization Mindshare Distribution
Product	Mindshare (%)
Reltio Cloud	0.7%
Azul Zing	0.9%
Other	98.4%

AI Customer Experience Personalization

Featured Reviews

it_user500349

CTO at a financial services firm with 51-200 employees

It has helped us improve our latency performance drastically

As a large scale high performance trading platform serving the high frequency trading community, latency has always been critical for our clients. Before using Azul Zing JVM, we would have had to spend a lot of effort tuning our JVM GC and profiling our application to minimize latency, which is…

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reviewer2826747

Data Domain Lead at a government with 10,001+ employees

Unified data has created trusted golden records but complex AI matching still needs clearer control

Reltio Cloud has greatly enhanced our data management, and I acknowledge there are areas where our team continues to face challenges. Specifically, the AI-based matching feature operates like a black box, making it difficult to understand why certain records are matched or not matched accurately. If there could be better visual debugging and clarity regarding why records are matched, it would significantly aid our decision-making process. The technical configuration, particularly regarding data models and rule matching, can be overly complex for business users, hence a more user-friendly approach, with simplified guidelines, would be incredibly beneficial. Additionally, data stewardship can present complexities, and clearer actions can facilitate addressing these challenges. Performance issues can arise with larger data models and numerous data sources impacting system use, hence enhancements in optimization and ready-to-use features for complex configurations are essential. Pricing can also be convoluted; therefore, a clearer cost model would aid users in comprehending the structure. While data lineage has its merits, it is complex to interpret; thus, improved visualization would greatly benefit users. Ultimately, technical complexity emerges as the primary challenge we face, revealing opportunities for improvement.

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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

"GC Pause times are maintained in low milliseconds, which is beneficial for applications with high volume, high memory allocation rate, and a high memory footprint, and it also increases throughput by approximately 20-25% as compared to Oracle Java Development Kit based on some tests that I have done with real applications."

"With Zing, we've now been able to re-allocate those tuning resources to general product development."

"Zing has completely solved the garbage collection problem for us."

"With minimal effort, Zing has helped us improve our latency performance drastically."

"The non-stop garbage collector (C4 - Continuously Concurrent Compacting Collector) is the most valuable feature."

"With minimal effort, Zing has helped us improve our latency performance dramatically."

"No other JVM on the market even comes close to competing with the Azul Zing."

"Performance of the JVM, especially the C4 Pauseless Garbage Collection, for continuous application execution is the most valuable feature."

More Azul Zing pros

"It is very easy to learn. The"

"Reltio Cloud has introduced a single source of truth, a solution to issues caused by teams sharing data via email and losing track of the latest updates, and as a result, up to 97-78% of operations now have a clearer view, allowing us to focus more on enhancing our operations rather than rectifying data discrepancies, thus productivity has surged, leading to significant cost reductions, with my estimate being over a million dollars in savings within the last few months, enabling faster decision-making and real-time data access without the need for manual compilation."

"Its user interface is different from that of other MDM solutions like Informatica"

"The matching feature of Reltio Cloud is highly effective compared to many other tools available. Additionally, it is almost ready to use out-of-the-box, reducing the implementation time."

"Reltio Cloud has positively impacted my organization because we were able to promote our data and sell data to our customers."

"The survivorship feature is great because we can define it, prioritize the sources, and only allow those sources to survive when making the golden record."

"We can store the data and enrich it from multiple sources."

"Reltio Cloud offers advantages over competitors, including a dashboard with a good amount of detail that looks significantly better than Informatica or Stibo."

More Reltio Cloud pros

Cons

"Although Azul claims to have a fast warmup, we still experience higher latency for the first trade when our system starts up on Sundays."

"We have encounter stability issues and that has been a source of frustration at times."

"The licensing over non-production environments considerably affects the cost of our solution as a software vendor."

"The profiling tools included with Zing lag behind those available for Oracle's Java implementation."

"Although Azul claims to have a fast warmup, we still experience higher latency for the first trade when our system starts up on Sundays."

"However, like every other great product, there is always something that can be improved."

"It is extremely expensive."

"The download process can be quite slow"

"Reltio Cloud can be improved by providing the possibility to connect with other connectors and databases such as Snowflake, Databricks, and eventually with Azure Data Factory."

"There is some lag in developing new features for specific business requirements. If a new feature is needed, we have to raise a request in the developer portal through the IDEA portal. This process takes time to develop, which can be a drawback when immediate business needs arise."

"The solution's UI could be enhanced, and its record filtering could be expanded."

"We need manual data modeling and configuration to tailor the platform to our requirements."

"What could be improved about Reltio Cloud was minimal."

"AI features should be introduced in Reltio more."

"Sometimes, the service goes down for maintenance or when we run a lot of jobs so things get pushed to the queue and results don't get delivered on time."

More Reltio Cloud cons

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Manufacturing Company

14%

Construction Company

12%

Outsourcing Company

Financial Services Firm

12%

Manufacturing Company

12%

Computer Software Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	2
Large Enterprise	13

Questions from the Community

Ask a question

Earn 20 points

What needs improvement with Reltio Cloud?

In future updates of Reltio Cloud, I would like to see features such as AI for match and merge, which can create predefined AI address doctors and match and merge for customer data, easily integrat...

See all answers

What is your primary use case for Reltio Cloud?

I use Reltio Cloud for customer data management, specifically for C-MDM purposes.

See all answers

What advice do you have for others considering Reltio Cloud?

Reltio Cloud was not purchased through AWS Marketplace or directly from the vendor. It was already available in my company at that time, so I used the system to showcase its capabilities. What coul...

See all answers

Comparisons

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Compared 24% of the time

Zenoss Cloud vs Azul Zing

Compared 16% of the time

Oracle Hotspot vs Azul Zing

Compared 16% of the time

Zulu Embedded vs Azul Zing

Compared 15% of the time

TIBCO ActiveMatrix Lifecycle Governance Framework vs Azul Zing

Compared 12% of the time

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Semarchy xDM vs Reltio Cloud

Compared 26% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Reltio Cloud

Compared 16% of the time

TIBCO EBX vs Reltio Cloud

Compared 10% of the time

Stibo STEP MDM vs Reltio Cloud

Compared 9% of the time

Profisee vs Reltio Cloud

Compared 7% of the time

More Reltio Cloud Competitors

Product Reports

Buyer's Guide

Application Infrastructure

August 2026

Download Azul Zing product report

Buyer's Guide

Reltio Cloud

August 2026

Download Reltio Cloud product report

Overview

Azul Zing is a high-performance Java Virtual Machine designed for real-time workloads, offering low latency and high throughput. Zing is optimized for enterprise use, making it ideal for financial services, gaming, and ecommerce.

Leveraging Azul's unique C4 garbage collector, Azul Zing enhances Java application performance by eliminating pauses and reducing latency, crucial for applications demanding consistent response times. The platform is known for its scalability and stability, ensuring swift adaptation to demanding workloads. Its architecture supports quick deployment and seamless operation in modern infrastructure, catering to enterprises that prioritize performance and reliability in mission-critical applications.

What are the key features of Azul Zing?

C4 Garbage Collector: Provides continuous operation without pauses.
Elastic Memory: Dynamically adjusts memory allocation based on needs.
Scalability: Easily scales with increased workload demands.
High Throughput: Optimized for intensive data processing tasks.

What benefits can Azul Zing offer?

Improved Latency: Minimizes delay in data processing.
Cost Efficiency: Reduces infrastructure overhead through optimal resource use.
Enhanced Performance: Boosts application responsiveness and user satisfaction.
Seamless Integration: Fits into existing IT environments without extensive modification.

Azul Zing implementation is prevalent in industries like finance and telecommunications where rapid data processing and minimal latency are crucial. Its technology helps financial services handle trade cycles efficiently and assists telecommunications in processing large volumes of data with minimal downtime.

Azul Systems

Reltio Cloud excels in Master Data Management (MDM), offering real-time data synchronization and a unified data view across diverse sources. Praised for its scalable architecture and user-friendly interface, it enhances operational efficiency and compliance management, making it ideal for handling large volumes of data and improving organizational productivity.

Reltio

Sample Customers

Priceline, RBS, Credit Suisse, ING, Creditex, Nielsen, Workday, Saks Fifth Avenue, Entergy, Quotix, Puma and many more. Visit azul.com for more.

iMiDiA, Slalom, MeritDirect, Cognizant

Buyer's Guide

Azul Zing vs. Reltio Cloud

June 2026

Free Report: Azul Zing vs. Reltio Cloud

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