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Cyera vs Quest Data Intelligence comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jul 16, 2026

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 Data Governance
24th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
5
Ranking in other categories
Data Loss Prevention (DLP) (12th), Data Security Posture Management (DSPM) (9th), AI Data Analysis (17th), AI Security (11th), Data Security Platforms (DSP) (3rd)
Quest Data Intelligence
Ranking in Data Governance
18th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
22
Ranking in other categories
Metadata Management (7th), AI Governance (3rd)
 

Mindshare comparison

As of August 2026, in the Data Governance category, the mindshare of Cyera is 2.6%, down from 4.2% compared to the previous year. The mindshare of Quest Data Intelligence is 2.5%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Quest Data Intelligence2.5%
Cyera2.6%
Other94.9%
Data Governance
 

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.
Jog Raj - PeerSpot reviewer
Senior Consultant at a computer software company with 11-50 employees
Automated lineage and business glossaries have improved data understanding and collaboration
I am open to answering a few questions about erwin Data Intelligence and sharing my opinion about the product. Regarding the analytic part of the product, I find it very interesting that erwin Data Intelligence has its own inbuilt reporting toolset, with a new version coming out in January that will be AI-powered. This means you will be able to write analytical reports and questions based on the metadata and data lineage, making it more powerful than the current version, as AI will assist in creating those reports and performing analysis on the metadata. I find that the time taken to realize value from erwin Data Intelligence can be quite long. Creating a data catalog and developing data lineage takes significant time, and I expect that AI will help accelerate the process of creating data products by streamlining the steps involved. I can recommend erwin Data Intelligence to other users. I would rate this review as an eight out of ten overall.

Quotes from Members

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

Pros

"The data discovery, data classification, and CSPM features are most valuable."
"Cyera has positively impacted my organization because we have become more compliant."
"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 an inbuilt set of policies implemented towards data security, especially cohering with Data Security Posture Management (DSPM)."
"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."
"It is a central place for everybody to start any ETL data pipeline builds. This tool is being heavily used, plus it's heavily integrated with all the ETL data pipeline design and build processes. Nobody can bypass these processes and do something without going through this tool."
"By using the data catalog, we have definitely improved in terms of maturity as a data-driven decision-maker organization, and we are now getting to a level where everybody understands the data, understands how it is organized, and how they can use this data for different business decisions."
"Overall, DI's data cataloging, data literacy, and automation have helped our decision-makers because when a source wants to change something, we immediately know what the impact is going to be downstream."
"Data governance is helping us become even a better company because we know our data and how to use it."
"Data Intelligence has provided more profound insights into legacy data movements, lineages, and definitions in the short term. We have linked three critical layers of data, providing us with an end-to-end lineage at the column level."
"The data mapping manager is the most valuable feature."
"Data Intelligence allows us to automate multiple tasks we had previously done manually, such as restructuring the metadata for our purposes, setting up ETL flows, and defining the data tables we create. It also enables us to standardize our approach and our technical processes."
"This tool has taken us from having nothing to being very efficient."
 

Cons

"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."
"I would advise others looking into using Cyera to not do so."
"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."
"As a startup company, there is a long way for them to go in terms of scalability."
"The licensing initially was tricky because it is based on storage as well as user count."
"Scalability has room for improvement. It tends to slow down when we have large volumes of data, and it takes more time."
"There are a lot of little things like moving between read screens and edit screens. Those little human interface type of programming pieces will need to mature a bit to make it easier to get to where you want to go to put the stuff in."
"We still need another layer of data quality assessments on the source to see if it is sending us the wrong data or if there are some issues with the source data. For those things, we need a rule-based data quality assessment or scoring where we can assess tools or other technology stacks. We need to be able to leverage where the business comes in, defining some business rules and have the ability to execute those rules, then score the data quality of all those attributes. Data quality is definitely not what we are leveraging from this tool, as of today."
"The SDK behind this entire product needs improvement. The company really should focus more on this because we were finding some inconsistencies on the LDK level. Everything worked fine from the UI perspective, but when we started doing some deep automation scripts going through multiple API calls inside the tool, then only some pieces of it work or it would not return the exact data it was supposed to do."
"The metadata ingestion is very nice because of the ability to automate it. It would be nice to be able to do this ingestion, or set it up, from one place, instead of having to set it up separately for every data asset that is ingested."
"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."
"The versioning can sometimes be confusing because we use the publishing feature for the mapping. Technical analysts sometimes have two versions, and they should know that the public version is the correct one."
"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."
 

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."
"Smart Data Connectors have some costs, and then there are user-based licenses. We spend roughly $150,000 per year on the solution. It is a yearly subscription license that basically includes the cost for Smart Data Connectors and user-based licenses. We have around 30 data stewards who maintain definitions, and then we have five IT users who basically maintain the overall solution. It is not a SaaS kind of operation, and there is an infrastructure cost to host this solution, which is our regular AWS hosting cost."
"The price is reasonable and competitive. When you get into forward and reverse-engineering, the cost could go up. However, if you are a large organization, you would probably be able to access different packages. If, however, you don't need forward and reverse-engineering, then the price is relatively cheap."
"There is an additional fee for the server maintenance."
"The price is reasonable, and a subscription is required."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
"Erwin Data Catalog is very expensive."
"The licensing cost was very affordable at the time of purchase. It has since been taken over by erwin, then Quest. The tool has gotten a bit more costly, but they are adding more features very quickly."
"The price is too high."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
11%
Healthcare Company
8%
Computer Software Company
6%
Financial Services Firm
14%
Government
9%
Construction Company
8%
Outsourcing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise4
Large Enterprise16
 

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 Cyera can improve by expanding beyond Israel.
What is your primary use case for Cyera ?
My main use case for Cyera is security. A quick specific example of how I use Cyera for security is scanning drives for secure information that shouldn't be there. Cyera helps with scanning drives ...
What needs improvement with erwin Data Intelligence by Quest?
In my opinion, the analytics part of erwin Data Intelligence is not satisfactory. The name 'Intelligence' is not related specifically to analytics; it is focused on data governance with no advanced...
What is your primary use case for erwin Data Intelligence by Quest?
My main use case for erwin Data Intelligence is applying it and the DQ Labs in a financial institution.
What advice do you have for others considering erwin Data Intelligence by Quest?
The integration of business glossaries has significantly helped improve collaboration in our organization. We define the business glossaries first during meetings with the business, and then we bul...
 

Also Known As

No data available
erwin DG, erwin Data Governance, erwin Data Catalog
 

Overview

 

Sample Customers

Cyera's customers include the Chicago Board of Options Exchange (Cboe), Granicus, Takeda, LifeLabs, United Talent Agency, ACV Auctions, and Armis
Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Find out what your peers are saying about Cyera vs. Quest Data Intelligence and other solutions. Updated: August 2026.
911,493 professionals have used our research since 2012.