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Varonis Platform vs erwin Data Intelligence by Quest comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 12, 2025

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

erwin Data Intelligence by ...
Ranking in Data Governance
6th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
No ranking in other categories
Varonis Platform
Ranking in Data Governance
7th
Average Rating
8.2
Reviews Sentiment
6.4
Number of Reviews
14
Ranking in other categories
Data Loss Prevention (DLP) (12th), SaaS Security Posture Management (SSPM) (5th), Data Security Posture Management (DSPM) (8th), Compliance Management (8th), Ransomware Protection (9th), Identity Threat Detection and Response (ITDR) (7th)
 

Mindshare comparison

As of February 2025, in the Data Governance category, the mindshare of erwin Data Intelligence by Quest is 2.4%, down from 2.6% compared to the previous year. The mindshare of Varonis Platform is 8.2%, up from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

Featured Reviews

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.
Frederic  Delos - PeerSpot reviewer
Offers the ability to identify sensitive areas, allowing you to drill down into the sensitive data
The most effective feature for me is its ability to identify sensitive areas, allowing you to drill down into the sensitive data, provided you have access, to determine whether it's a false positive or a true positive. That's the best thing for me, out of all of it. It's got everything, like other ones, but I like to be able to look at something if I'm doing forensics on the alert and say, "Okay, do I really need to do something with this?" For example, we don't want sensitive data in our OneDrive. So it identifies the sensitive data that's possibly in the OneDrive. And what I can do is look at it and identify whether it's actually sensitive data in Datalert or whether it looks like sensitive data, but I know it's a false positive. If it is a false positive, I can basically say ignore this pattern based on X, Y, and Z, you know, whether it's Redjax or keyword proximity. So I like that. With other tools, I gotta go through a whole process because it's a little bit more complex. Here, I can tag it and bag it in one shot. And the next good time I scan, it slips over it. So it helps in that.

Quotes from Members

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

Pros

"Data Intelligence creates a single source of truth for all of our metadata. This solution is better for data warehousing, but the metadata features speed up our development work. It's easy to create and manage mappings because we can export them to Informatica and pick up the work where we left off."
"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."
"The biggest benefit with erwin DI is that I have a single source of truth that I can send anybody to. If anybody doesn't know the answer we can go back to it. Just having a central location of business rules is good."
"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."
"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."
"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."
"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."
"The data management is, obviously, key in understanding where the data is and what the data is. And the governance can be done at multiple levels. You have the governance of the code sets versus the governance of the business terms and the definitions of those business terms. You have the governance of the business data models and how those business data models are driving the physical implementation of the actual databases. And, of course, you have the governance of the mapping to make sure that source-to-target mapping is done and is being shared across the company."
"The telemetry to capture everything and the reports are very easy to configure without having a developer degree."
"The solution ensures that users have not accidentally shared sensitive information with the wrong people or too many people."
"The solution's classification engine is highly configurable and efficient."
"There's also a 90-day policy where if a user is not using the warehouse, it will automatically delete that username."
"On the Varonis side, technical support is phenomenal. Their ability to explain is very good, and they seem to be very knowledgeable. When I get an alert that doesn't quite make sense, they dive in there and kind of take me through it. That's very useful and very good. There are some false alerts, but it is better to have a false alert than no alert at all."
"The 24/7 support is the most valuable feature. They have been able to answer support questions pretty quickly."
"Technical support from Varonis is rated as nine out of ten."
"The solution has significantly improved data security and compliance posture by allowing us to track and monitor activities. We can see who accesses data and when files are created and understand what's happening in our environment."
 

Cons

"There was a huge learning curve, and I'd been in software development for most of my career. The application itself, and how it runs menus and screens when you can modify and code, is complex. I have found that kind of cumbersome."
"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."
"There may be some opportunities for improvement in terms of the user interface to make it a little bit more intuitive. They have made some good progress. Originally, when we started, we were on version 9 or 10. Over the last couple of releases, I've seen some improvements that they have made, but there might be a few other additional areas in UI where they can make some enhancements."
"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."
"There is room for improvement with the data cataloging capability. Right now, there is a list of a lot of sources that they can catalog, or they can create metadata upon, but if they can add more then that would be a good plus for this tool."
"We chose to implement on an Oracle Database because we also had the erwin Data Modeler and Web Portal products in-house, which have been set up on Oracle Databases for many years. Sometimes the Oracle Database installation has caused some hiccups that wouldn't necessarily have been caused if we had used SQL Server."
"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."
"Varonis requires more access permissions for its core functions compared to competitors, which can be a concern for companies about data safety."
"The remediation process can be improved. There will be no existing permission group for the McAfee channel domains. We can create a new permissions group for the required folder."
"I would like it to have cloud integration."
"The solution's areas of improvement are the interface and the dependency on on-premises deployment for some components."
"For unstructured data monitoring, it's one of the top ones, if not the top one, due to its usability."
"We have Microsoft Office 365. I just saw an article today which says that they're actually getting integrated with Microsoft Office 365, which would be a useful feature. For user-based reports, log on activity, and stuff like that, it doesn't seem to really be present like Log360. That could just be my inexperience with it. I've been dealing with it for only about two and a half months."
"The solution's interface is a little complicated with regard to setting up filters and reports."
"One area for improvement is the calculation engine. When applying rules in Varonis, especially for large datasets (terabytes of data), the calculations can be slow and require time to process. Speeding up this process would be beneficial."
 

Pricing and Cost Advice

"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."
"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."
"erwin's pricing was cheaper than its competitors."
"The licensing cost is around $7,000 for user. This is an estimation."
"erwin was at a good price. The federal government wouldn't buy something if the pricing wasn't good."
"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."
"The platform is expensive. I rate the pricing a nine out of ten."
"I would rate the pricing an eight out of ten, with ten being the most expensive."
"You could do a subscription, where you pay yearly, or you could purchase it outright. The licensing cost is based on the number of users on the system that you are monitoring."
"It's expensive, kind of, really expensive."
"The pricing is good. It neither expensive nor cheap. It is average."
"Licensing is on an annual basis. Maintenance and renewal fees are separate. Varonis Datalert is quite expensive."
"Varonis Platform wasn't certainly the cheapest solution."
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Top Industries

By visitors reading reviews
Computer Software Company
21%
Financial Services Firm
13%
Government
9%
Insurance Company
6%
Financial Services Firm
16%
Computer Software Company
11%
Manufacturing Company
10%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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...
What do you like most about Varonis Platform?
The solution has significantly improved data security and compliance posture by allowing us to track and monitor activities. We can see who accesses data and when files are created and understand w...
What needs improvement with Varonis Platform?
The solution's areas of improvement are the interface and the dependency on on-premises deployment for some components. The interface has improved with the move to a SaaS model, but aspects could s...
What is your primary use case for Varonis Platform?
Customers use the product to identify sensitive information, correlate it with access permissions, and utilize its automation engine for remediation. It includes fixing broken permissions and manag...
 

Also Known As

erwin DG, erwin Data Governance
No data available
 

Overview

 

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Nottingham Building Society
Find out what your peers are saying about Varonis Platform vs. erwin Data Intelligence by Quest and other solutions. Updated: January 2025.
838,713 professionals have used our research since 2012.