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Cyera vs erwin Data Intelligence by Quest 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

Cyera
Ranking in Data Governance
16th
Average Rating
8.4
Reviews Sentiment
7.7
Number of Reviews
3
Ranking in other categories
Data Loss Prevention (DLP) (17th), Data Security Posture Management (DSPM) (8th)
erwin Data Intelligence by ...
Ranking in Data Governance
9th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Data Governance category, the mindshare of Cyera is 4.0%, up from 1.3% compared to the previous year. The mindshare of erwin Data Intelligence by Quest is 2.0%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

Featured Reviews

reviewer2688711 - PeerSpot reviewer
Inbuilt policies and analytics provide clarity on data security posture
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. Cyera could be more intuitive, and the UI could be more appealing and easier to read. Additionally, promoting the concept of Cyera to a wider audience, including schools and universities, could increase awareness.
Roy Pollack - PeerSpot reviewer
The solution provides more profound insights into legacy data movements, lineages, and definitions in the short term.
We have loaded over 300,000 attributes and more than 1000 mappings. The performance is slow, depending on the lineage or search. This is supposed to be fixed in the later versions, but we haven't upgraded yet. The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version. It took some experimentation to get things working. We hope this is improved in the newer version. The initial version we used felt awkward because Erwin implemented features from other companies into their offering.

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."
"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."
"Cyera has an inbuilt set of policies implemented towards data security, especially cohering with Data Security Posture Management (DSPM)."
"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."
"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 solution saves time in data discovery and understanding our entire organization's data."
"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."
"Being able to capture different business metrics and organize them in different catalogs is most valuable. We can organize these metrics into sales-related metrics, customer-related metrics, supply chain-related metrics, etc."
"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."
"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."
"They have just the most marvelous reports called mind maps, where whatever you are focused on sits in the middle. They have this wonderful graphic spiderweb that spreads out from there where you can see this thing mapped to other logical bits or physical bits and who's the steward of it. It's very cool and available to your business teams through a portal."
 

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."
"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 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."
"It's a little bit clunky. I think a lot of these features were bolted on, and they don't necessarily transition smoothly in the interface. I would like to see a little more cohesion."
"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."
"If we are talking about the business side of the product, maybe the Data Literacy could be made a bit simpler. You have to put your hands on it, so there is room for improvement."
"The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version. It took some experimentation to get things working. We hope this is improved in the newer version. The initial version we used felt awkward because Erwin implemented features from other companies into their offering."
"Everything about Data Intelligence is complex. Though we've used the tool for five years, we're still only using about 30 to 40 percent of its capabilities. It would be helpful if we could customize and simplify the user interface because there are so many redundant things."
"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."
 

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."
"erwin was at a good price. The federal government wouldn't buy something if the pricing wasn't good."
"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."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
"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."
"There is an additional fee for the server maintenance."
"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."
"We operate on a yearly subscription and because it is an enterprise license we only have one. It is not dependent on the number of users."
"The licensing cost is around $7,000 for user. This is an estimation."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
12%
Manufacturing Company
8%
Healthcare Company
8%
Computer Software Company
24%
Financial Services Firm
13%
Government
9%
Non Profit
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Cyera ?
The data discovery, data classification, and CSPM features are most valuable.
What is your experience regarding pricing and costs for Cyera ?
Compared to the competitors, they are very reasonable.
What needs improvement with Cyera ?
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. Cyera could be more intuitive, and the UI could...
What do you like most about erwin Data Intelligence by Quest?
The data mapping manager is the most valuable feature.
What needs improvement with erwin Data Intelligence by Quest?
The data quality assessment requires third-party components and a separate license. I would like to have better integration around the data quality. I would appreciate the inclusion of a non-struct...
 

Also Known As

No data available
erwin DG, erwin Data Governance
 

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. erwin Data Intelligence by Quest and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.