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Azul Zing vs Calabrio ONE 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 Zing
Ranking in AI Customer Experience Personalization
34th
Average Rating
9.6
Reviews Sentiment
8.2
Number of Reviews
9
Ranking in other categories
Application Infrastructure (16th)
Calabrio ONE
Ranking in AI Customer Experience Personalization
3rd
Average Rating
7.8
Reviews Sentiment
7.5
Number of Reviews
42
Ranking in other categories
Workforce Engagement Management (3rd), AI Scheduling & Coordination (2nd)
 

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 Calabrio ONE is 1.2%, down from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Customer Experience Personalization Mindshare Distribution
ProductMindshare (%)
Calabrio ONE1.2%
Azul Zing0.9%
Other97.9%
AI Customer Experience Personalization
 

Featured Reviews

it_user500349 - PeerSpot reviewer
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…
Jaleelakadheer Mohideen - PeerSpot reviewer
Operation Planning Associate at a financial services firm with 5,001-10,000 employees
Improved agent adherence and scheduling have boosted satisfaction but reporting still needs real time
In terms of improvements for Calabrio ONE, since I do not work with forecasting, I think we could collaborate AWS with Calabrio ONE to get live data fed into Calabrio ONE, which would be even greater for forecasting. We pull the majority of our reports through Calabrio ONE, and something I have noticed is that for the intraday report, if we want to pull data at 12:30, we have to wait until 12:45. It is a 15-minute refresher window, which is lagging behind. This delay is the same for any report being pulled. I do not have a grand overview of forecasting, but it generally takes a long time, and my agents have not been able to collaborate AWS with Calabrio ONE in the forecasting aspect. Apart from that, everything else is working great on Calabrio ONE. I would love it if it was more real-time and if I could download the data almost immediately without waiting for that 15-minute buffer. I rate Calabrio ONE a seven because I feel it could be improved. As I mentioned, the 15-minute buffer is an issue, and the real-time feeding into forecasting could be better. If we could control Shift Bags within Calabrio ONE instead of using another application like Teleopti to manage Shift Bags or control overall shifts, that would be even better. Right now, we use a combination of Teleopti and Calabrio ONE to decide the Shift Bags. The quantity and quality of results provided by Calabrio ONE are accurate 95 percent of the time. The forecasting feature in the application might not be the most accurate, which is an area where we do have issues, especially when scheduling breaks at intervals where calls might be at a higher volume. Those are rigged. Apart from that, since breaks and other meetings get allotted automatically, we do have to manually move them around because that forecasting is not accurate. If that could be improved, it would be great.

Quotes from Members

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

Pros

"With minimal effort, Zing has helped us improve our latency performance dramatically."
"With minimal effort, Zing has helped us improve our latency performance dramatically."
"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 minimal effort, Zing has helped us improve our latency performance drastically."
"Performance of the JVM, especially the C4 Pauseless Garbage Collection, for continuous application execution is the most valuable feature."
"The non-stop garbage collector (C4 - Continuously Concurrent Compacting Collector) is the most valuable feature."
"With Zing, we've now been able to re-allocate those tuning resources to general product development."
"No other JVM on the market even comes close to competing with the Azul Zing."
"Leadership is able to help new agents learn in real-time versus going back and reviewing."
"Calabrio ONE has positively impacted my organization by helping us with time management, scheduling shifts, and enhancing efficient workflows, and I can say that it is the game changer in that field."
"It provides excellent call recording functionality."
"The dynamic scheduling functionality allows the agents to be more empowered which was not an option on our previous tool."
"The customer service has been excellent, and we have received excellent remote and on site support."
"Calabrio ONE has increased agent satisfaction to a great extent."
"After using Calabrio ONE, I noticed measurable outcomes such as improved schedule adherence, reduced overtime costs, and reduced understaffing and overstaffing because the forecasts were more accurate."
"We are able to address compliance issues more quickly."
 

Cons

"We have encounter stability issues and that has been a source of frustration at times."
"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."
"Although Azul claims to have a fast warmup, we still experience higher latency for the first trade when our system starts up on Sundays."
"The profiling tools included with Zing lag behind those available for Oracle's Java implementation."
"The licensing over non-production environments considerably affects the cost of our solution as a software vendor."
"It is extremely expensive."
"Customer Service: At first, they were great. Since my initial encounters, it is a hit and miss and really comes down to the agent or technician assigned to help you."
"We have encountered stability issues. We had about six months where the program was crashing weekly."
"The only issue I have found with Calabrio is the WFM side."
"Customer support for Calabrio ONE was not that great, but it is acceptable."
"We have encountered plenty of deployment issues."
"Calabrio ONE needs many improvements from a high-level view."
"It sometimes needs quite clunky work arounds for certain things, e.g. If I add exceptions into agent schedules such as holidays or long term sickness, it's not easy to just delete them."
"Data migration support would have been helpful. Skill groups/mapping was very difficult to understand."
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
14%
Construction Company
12%
Outsourcing Company
8%
Financial Services Firm
22%
Outsourcing Company
16%
Manufacturing Company
10%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise4
Large Enterprise2
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise3
Large Enterprise37
 

Questions from the Community

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What is your experience regarding pricing and costs for Calabrio ONE?
I do not know about that because my company provided it to me. I do not know about the costing of Calabrio ONE, the licensing, or the setup costs because my organization provided it. I did not hand...
What needs improvement with Calabrio ONE?
Calabrio ONE can be improved in the area of predictive workforce planning. I believe predictive workforce planning would be more valuable if the platform could automatically identify unusual patter...
What is your primary use case for Calabrio ONE?
I use Calabrio ONE for small retail verticals from one of the projects like Mattel and other pieces as well for delivering the POC at the client side. I was working on almost three to four projects...
 

Also Known As

No data available
Calabrio
 

Overview

 

Sample Customers

Priceline, RBS, Credit Suisse, ING, Creditex, Nielsen, Workday, Saks Fifth Avenue, Entergy, Quotix, Puma and many more.  Visit azul.com for more.
Polaris, Equifax, Fedex, Rabo, Paychex, Virteva, VITAS Healthcare Corp, Keurig Green Mountain, AT&T, Esurance, Subaru, Boeing, Tiffany & Co., Thomson Reuters.
Find out what your peers are saying about Azul Zing vs. Calabrio ONE and other solutions. Updated: June 2026.
909,725 professionals have used our research since 2012.