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Securiti vs erwin Data Modeler 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:
 

ROI

Sentiment score
4.5
erwin Data Modeler enhances productivity and efficiency by automating design processes, reducing errors, and supporting diverse database management needs.
Sentiment score
7.3
Securiti reduced manual effort and costs, provided efficient data management, and minimized downtime, aiming for further improvements.
If three engineers save ten hours each per month using erwin Data Modeler versus manual modeling, that equals three hundred sixty hours saved per year.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
It replaces manual charting in Visio with a structured tool, providing significant return on investment.
Data Architect at a energy/utilities company with 10,001+ employees
If the modeling is compromised, then the entire structure will be compromised.
Senior Data Architect at a computer software company with 1,001-5,000 employees
With more automation in the SOC and the implementation of the next generation SOC, the headcount required for around-the-clock monitoring of ever increasing IT assets has gone down drastically.
Chief Manager (Information Technology) at a financial services firm with 10,001+ employees
I have seen a return on investment, as I believe we saved time; we could save a lot of time searching for important data and critical data on our network.
Sr Investigation Specialist at Ifood
Securiti reduced my manual effort by thirty to forty percent, although my goal is to achieve a hundred percent reduction.
Founder at Kaizentric Technologies Private Limited
 

Customer Service

Sentiment score
5.5
Erwin Data Modeler support is skilled and helpful, but users sometimes face delays and inconsistencies, especially for advanced queries.
Sentiment score
6.2
Securiti support varies, with responsive Asia-Pacific teams and helpful training, but inconsistent technical staff effectiveness.
The quality and speed of their support are excellent; everyone is very helpful, and they can solve problems quickly.
Senior Data Scientist at a consultancy with 10,001+ employees
This rating reflects my ability to effectively utilize the tool and get support for licensing issues, installation errors, or corrupted repositories end-to-end.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
Quest is committed to keeping the product robust.
Data Architect at a energy/utilities company with 10,001+ employees
The team in Asia-Pacific has been particularly supportive and generous with partners, providing comprehensive assistance and material.
Integration Lean Non Financial Risk Transformation at a financial services firm with 10,001+ employees
On average, I would rate the technical support four out of ten.
Founder at Kaizentric Technologies Private Limited
We've got a dedicated engineer, and when we get someone, we get the answer.
Data Scientist, Protection of Personal Information, Information Security at Eviden France
 

Scalability Issues

Sentiment score
7.0
erwin Data Modeler efficiently handles large data models and concurrent users, adaptable to evolving data needs with scalable performance.
Sentiment score
6.4
Securiti offers scalable solutions, though experiences vary, requiring customization and support for optimal horizontal and vertical scaling.
I would rate it probably a nine, making it a leader in data modeling.
Data Architect at a energy/utilities company with 10,001+ employees
erwin Data Modeler had a very good standardization infrastructure and supported a controlled multi-user environment with check-ins and check-outs.
Data Metrics Engineer at a financial services firm with 10,001+ employees
Performance can degrade during larger collaborations and requires tuning for optimal performance.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
I would rate it ten out of ten for scalability.
Data Scientist, Protection of Personal Information, Information Security at Eviden France
The tools allow for quick building and testing, reducing overall deployment time.
Manager at Cognizant
Securiti's scalability is impressive; it is capable of handling a large workload for a bank having 25,000 plus branches and a customer base of around 400 million customers.
Chief Manager (Information Technology) at a financial services firm with 10,001+ employees
 

Stability Issues

Sentiment score
6.7
Erwin Data Modeler is stable but struggles with large models, needing better auto-save and resource management.
Sentiment score
7.3
Securiti provides stable performance with minor issues, excelling in availability, satisfying executives, and offering notable risk reduction benefits.
This lack of an auto-save methodology can be improved so that if a system crash occurs, work can be saved and rework can be avoided.
Data Modeler at Capgemini
New versions often introduce enhanced features but may cause model crashes due to memory exhaustion.
Data Architect at a energy/utilities company with 10,001+ employees
Sometimes when I want to open the attribute editor, it stops working and the whole application freezes.
Senior Data Scientist at a consultancy with 10,001+ employees
We manage the environment well, and the clients manage it, so it's not crashing.
Data Scientist, Protection of Personal Information, Information Security at Eviden France
Overall, its stability compares well to other products.
Manager at Cognizant
The top executive or the C-level executives want to understand the impact of implementing the various cyber security solutions in terms of the reduction, tangible reduction in the business risk.
Chief Manager (Information Technology) at a financial services firm with 10,001+ employees
 

Room For Improvement

Erwin Data Modeler needs a modern interface, improved performance, better collaboration, and expanded data support for enhanced usability.
Securiti needs enhanced support, documentation, automation, AI, communication, fraud prevention, cost estimation, and performance in large environments.
The previous version of erwin Data Modeler used to crash unaccountably, but this one hasn't ever crashed on me, so it's been a lot more stable than the previous version that we had.
Data Warehouse Architect at a healthcare company with 10,001+ employees
There are many features, and I would expect good documentation detailing each feature, including when and how to use it, to be very useful because data modeling is not very popular in the data area and there aren't many educational videos regarding erwin Data Modeler.
Senior Data Scientist at a consultancy with 10,001+ employees
Erwin Data Modeler could improve in areas such as the interface, as there are features like copy and paste, creating duplicates, and the visualization elements and toolbars which feel quite old.
Data Modeler at Capgemini
It would be beneficial if Securiti had a feature similar to data mesh, allowing users to directly access remote data through the Securiti UI.
Founder at Kaizentric Technologies Private Limited
It's hard to estimate the cost. They should help with the cost estimation.
Data Scientist, Protection of Personal Information, Information Security at Eviden France
Despite them having connectors and ongoing product improvements, there are challenges with data lineage and updating relationships modules that don't match OneTrust's capabilities.
Senior Manager at KPMG
 

Setup Cost

Erwin Data Modeler's high cost is offset by concurrent licensing's flexibility, benefiting large teams but challenging for smaller users.
Securiti pricing is moderate with flexible enterprise agreements, but deployment costs vary and can rise over time.
For a cloud or SaaS standard edition, it typically runs around two hundred to two hundred ninety-nine US dollars per month.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
The experience with pricing, setup cost, and licensing is that the licensing process is painful and quite onerous.
Contract Data Architect at a financial services firm with 10,001+ employees
It is more targeted toward an enterprise level since organizations looking to store business information and relationship values may consider the pricing.
Data Modeler at Capgemini
Vovalage was more affordable than Securiti.
Founder at Kaizentric Technologies Private Limited
It's hard to estimate the cost.
Data Scientist, Protection of Personal Information, Information Security at Eviden France
Two years ago, it was much cheaper, but now it is more expensive.
Services and Comercial Manager at a tech vendor with 11-50 employees
 

Valuable Features

Erwin Data Modeler simplifies database integration using visual diagrams, automates processes, and supports modern technologies and collaboration tools.
Securiti offers user-friendly, comprehensive data management and compliance tools, including automated data intelligence, risk management, and training resources.
One of the key aspects of data governance is defining the data dictionary and clearly identifying which data is accessible by whom and what is not accessible, particularly regarding PII-related data.
SPM at Infosys
The way the data is organized and you have a visual of that organization helps a great deal in terms of trying to remember what you did and trying to retrieve the information.
Data Metrics Engineer at a financial services firm with 10,001+ employees
Migrating DDLs using erwin Data Modeler is easy because I just connect to the database and generate the data model from what is already implemented, making the process straightforward.
Data Modeler at FNB Mozambique
A specific feature I find effective is the sensitive data intelligence (SDA) module, which is very useful for automating compliance processes.
Founder at Kaizentric Technologies Private Limited
I find the zero trust network, zero trust architecture, ZTA, most valuable and unique in Securiti.
Chief Manager (Information Technology) at a financial services firm with 10,001+ employees
Their data discovery is a fantastic product. It is AI-enabled for automatic tagging and classifiers.
Senior Manager at KPMG
 

Categories and Ranking

erwin Data Modeler
Ranking in Data Governance
10th
Average Rating
8.4
Reviews Sentiment
5.9
Number of Reviews
51
Ranking in other categories
Enterprise Architecture Management (1st), Business Process Design (7th)
Securiti
Ranking in Data Governance
15th
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
10
Ranking in other categories
Data Loss Prevention (DLP) (17th), Data Privacy Management Software (2nd), Data Security Posture Management (DSPM) (12th), Data Detection & Response (DDR) (1st), Data Security Platforms (DSP) (2nd)
 

Mindshare comparison

As of August 2026, in the Data Governance category, the mindshare of erwin Data Modeler is 0.5%. The mindshare of Securiti is 2.0%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
erwin Data Modeler0.5%
Securiti2.0%
Other97.5%
Data Governance
 

Featured Reviews

Sushree Panigrahi - PeerSpot reviewer
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
Data modeling has transformed regulatory reporting and collaboration across cloud environments
In erwin Data Modeler, areas that have room for improvement include performance improvements. I see that large models sometimes cause it to be slow when opening. Impact analysis can lag as well. Version control is another aspect. If we have developed a current version, it is not integrated with Git where we can easily compare different versions. UI modernization is also something we cannot utilize as it is primarily for development. Additionally, cloud-specific optimizations are needed when it comes to Snowflake or Databricks. When it comes to AI aspects, auto-suggestions for normalization or identifying primary, foreign, or surrogate keys are areas that can be improved.
reviewer2765175 - PeerSpot reviewer
Chief Manager (Information Technology) at a financial services firm with 10,001+ employees
Have built a zero trust foundation that protects customer data and reduces business risk
To improve Securiti, I would say that ultimately the IT team as well as the business team, there has to be an amalgamation of their thought process, convergence of their thoughts, objectives, aspirations for achieving the business objective of a particular organization. The way forward is to form the fusion team wherein there is a judicious mix of business and IT and both the teams understand each other's limitations and the aspirations and the common objectives. As far as needed improvements in Securiti, I would say that automation is key. If you look at the kind of huge amount of data which SOC integrated devices are generating in terms of alerts, automation or the appropriate use of AI is the way forward. That will lead to the overall improvement in the efficiency as well as the threat intelligence will be much more accurate. To my mind, automation with the augmented use of GenAI or the agentic AI solution is the way forward. I choose eight for Securiti because for it to be a nine or 10, ultimately the uptime has to be improved, it should be nearing 100%. Apart from that, there has to be more unified communication happening between various customer facing applications. These siloed applications having their own kind of security solutions implemented also have to be brought on a uniform platform. Until that happens, there is always a gap which has to be filled. The processes within the SOC, whether it is SIEM, NBAD, or your DAM, alert analysis, logs analysis, these have to be predictive analysis, and the thwarting of the cyber attacks still requires more effort.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Marketing Services Firm
7%
Manufacturing Company
6%
Government
6%
Financial Services Firm
16%
Manufacturing Company
12%
Construction Company
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise3
Large Enterprise42
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise7
 

Questions from the Community

What is your experience regarding pricing and costs for erwin Data Modeler by Quest?
I have no idea about the setup cost because I did not buy the license.
What needs improvement with erwin Data Modeler by Quest?
The UI in erwin Data Modeler can be improved significantly because when any new person opens the tool, all the toolbars are kept open with many tools in view, making it appear chunky. If possible, ...
What is your primary use case for erwin Data Modeler by Quest?
I primarly use erwin Data Modeler for modeling purposes. Once we have the business requirement, we create the models in erwin Data Modeler, and then we perform forward engineering to get the query ...
What is your experience regarding pricing and costs for Securiti?
Regarding my experience with pricing, setup cost, or licensing, I did not have much experience because I was more a technical user, but I believe it was not really expensive.
What needs improvement with Securiti?
I could see that in an environment where we had a lot of information, sometimes it was a little slow with Securiti, so I believe they could improve by making the solution faster in big environments...
What is your primary use case for Securiti?
My main use case for Securiti is that we implemented it to improve our data privacy and compliance operations across multiple business units. A specific example of how I used Securiti for privacy o...
 

Also Known As

erwin DM
No data available
 

Overview

 

Sample Customers

 Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples
Information Not Available
Find out what your peers are saying about Securiti vs. erwin Data Modeler and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.