No more typing reviews! Try our Samantha, our new voice AI agent.

Cyera vs Quest Data Intelligence comparison

 

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
23rd
Average Rating
8.6
Reviews Sentiment
7.7
Number of Reviews
4
Ranking in other categories
Data Loss Prevention (DLP) (9th), Data Security Posture Management (DSPM) (9th), AI Data Analysis (15th), AI Security (10th)
Quest Data Intelligence
Ranking in Data Governance
19th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
22
Ranking in other categories
AI Governance (3rd)
 

Mindshare comparison

As of July 2026, in the Data Governance category, the mindshare of Cyera is 2.8%, down from 4.0% compared to the previous year. The mindshare of Quest Data Intelligence is 2.1%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
erwin Data Intelligence2.1%
Cyera2.8%
Other95.1%
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 an inbuilt set of policies implemented towards data security, especially cohering with Data Security Posture Management (DSPM)."
"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."
"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."
"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"The biggest impact for us is that erwin generates DDL extremely quickly. We're able to pull in metadata, map it to a target, generate DDL to create the tables, and generate SSIS packages. Previously, especially going back 10 to 15 years ago, hundreds of hours had to be spent to manually perform these tasks. This solution completely automates it and gets it 90% done. We can then pass it off to a developer to create the items in SSIS."
"The data catalog feature is pretty good."
"erwin has tremendous capabilities to map right from the business technologies to the endpoint, such as physical entities and physical attributes, from a lineage standpoint."
"The solution gives us data lineage which means we can see an impact if we make a change. The ability for us to have that in this company is brilliant because we used to have 49 data stewards from some 23 different groups within six major departments. Each one of those was a silo unto itself. The ability to have different glossaries — but all pointed to the same key terms, key concepts, or key attributes — has made life really simple."
"I can estimate that we lowered our time to market by 70 percent right now using these automation scripts, which is a really big thing."
"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."
"We use the codeset mapping quite a bit to match value pairs to use within the conversion as well. Those value pair mappings come in quite handy and are utilized quite extensively. They then feed into the automation of the source data extraction, like the source data mapping of the source data extraction, the code development, forward engineering using the ODI connector for the forward automation."
 

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."
"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."
"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."
"One big improvement we would like to see would be the workflow integration of codeset mapping with the erwin source to target mapping. That's a bit clunky for us. The two often seem to be in conflict with one another. Codeset mappings that are used within the source to target mappings are difficult to manage because they get locked."
"Really huge datasets, where the logical names or the lexicons weren't groomed or maintained well, were the only area where it really had room for improvement. A huge data set would cause erwin to crash. If there were half a million or 1 million tables, erwin would hang."
"The fact that I sometimes have to go in and out of different applications, even though it's all part of the whole erwin suite, perhaps means it could be architected a little bit better. I think they do have some ideas for improvements there."
"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."
"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."
"In my opinion, the analytics part of erwin Data Intelligence is not satisfactory."
"I find that the time taken to realize value from erwin Data Intelligence can be quite long."
"Scalability has room for improvement. It tends to slow down when we have large volumes of data, and it takes more time."
 

Pricing and Cost Advice

"Compared to the competitors, they are very reasonable."
"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."
"The licensing cost is around $7,000 for user. This is an estimation."
"I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a company making 10 million and above, it might be okay."
"erwin's pricing was cheaper than its competitors."
"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 a subscription is required."
"The solution is aggressively priced."
"The whole suite, not just the DI but the modeling software, the harvester, Mapping Manager — everything we have — is about $100,000 a year for our renewals. That works out to each module being something like $8,000 to $10,000."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
report
Use our free recommendation engine to learn which Data Governance solutions are best for your needs.
904,748 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
11%
Healthcare Company
8%
Computer Software Company
7%
Financial Services Firm
16%
Government
9%
Manufacturing Company
9%
Construction Company
6%
 

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 the area for improvement in Cyera is probably around integration, particularly with other platforms and third-party tools. For example, I see some integration areas with leading DLP solutio...
What is your primary use case for Cyera ?
My main use case for Cyera includes data visibility, data tagging, data classification, AI assessments, and policy governance, risk, and compliance policy. For data classification, I import structu...
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: June 2026.
904,748 professionals have used our research since 2012.