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Quest Data Intelligence pros and cons

Vendor: Quest Software

4.2 out of 5

22 reviews
100% willing to recommend

Pros & Cons summary

Erwin Data Intelligence centralizes metadata management for improved data governance and rapid impact analysis. Automation accelerates metadata mapping and ETL processes, enhancing decision-making efficiency. However, integration challenges with metadata sources and issues with scalability and SDK reliability may impact large data operations. Data quality checks relying on external components and separate metadata ingestion setups indicate potential workflow inefficiencies, suggesting a need for enhancement in these areas.

Buyer's Guide

Get pricing advice, tips, use cases and valuable features from real users of this product.

Prominent pros & cons

PROS

Erwin Data Intelligence serves as a single source of truth for metadata, centralizing business rules and enhancing data governance.

Data lineage and impact analysis features reduce research time significantly, enabling quick decision-making.

Automation capabilities, including automation scripts, streamline processes, save time, and lower IT costs.

Mind maps and data cataloging improve data literacy, ensuring stakeholders understand data organization and impact.

Standardization and automation of metadata management enhance data-driven decision-making and business operations.

CONS

Moving between different applications in the erwin suite may indicate a need for better architecture.

The time taken to realize value from erwin Data Intelligence can be long.

The SDK behind erwin needs improvement, especially when using automation scripts with multiple API calls.

Workflow integration of codeset mapping with source to target mapping could be improved, as managing these mappings is difficult.

Scalability issues arise when handling large volumes of data, causing performance slowdowns.

Quest Data Intelligence Pros review quotes

Senior Consultant at a computer software company with 11-50 employees

Dec 5, 2025

The main benefits end users receive from erwin Data Intelligence include saving time and money while streamlining processes.

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MR

Data Unit Manger at a manufacturing company with 1,001-5,000 employees

Feb 12, 2026

The main benefits erwin Data Intelligence provides to me include better decision-making, saving money and time by applying governance policies and procedures on the actual technical data, ensuring decisions are based on KPIs that are governed from source to end, and providing functionality for data classification to prevent unauthorized access through integration with the infrastructure team using DLP methodology.

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Senior Director at a retailer with 10,001+ employees

May 16, 2021

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.

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Quest Data Intelligence

Free Report: Quest Data Intelligence Reviews and More

Learn what your peers think about Quest Data Intelligence. Get advice and tips from experienced pros sharing their opinions. Updated: July 2026.

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reviewer2253402

Delivery Director at a computer software company with 1,001-5,000 employees

Aug 9, 2023

The data mapping manager is the most valuable feature.

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reviewer1935849

Architect at a insurance company with 10,001+ employees

Aug 10, 2022

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.

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reviewer2056512

Works at a insurance company with 5,001-10,000 employees

Dec 18, 2022

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.

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Advisor Application Architect at CPS Energy

Sep 26, 2022

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.

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reviewer2230059

Project Coordinator at a computer software company with 201-500 employees

Jul 7, 2023

Mind map... is a really good feature because it is very helpful in seeing which column's tables are related. Also, you can flag them with "sensitive data" and other indicators. You can also customize your own features for the mind map. That was another very robust feature.

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reviewer2197947

Senior Solution Architect at a pharma/biotech company with 10,001+ employees

May 29, 2023

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.

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TZ

Analyst at Roche

May 29, 2023

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.

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Quest Data Intelligence Cons review quotes

Senior Consultant at a computer software company with 11-50 employees

Dec 5, 2025

I find that the time taken to realize value from erwin Data Intelligence can be quite long.

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MR

Data Unit Manger at a manufacturing company with 1,001-5,000 employees

Feb 12, 2026

In my opinion, the analytics part of erwin Data Intelligence is not satisfactory.

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Senior Director at a retailer with 10,001+ employees

May 16, 2021

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.

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Quest Data Intelligence

Free Report: Quest Data Intelligence Reviews and More

Learn what your peers think about Quest Data Intelligence. Get advice and tips from experienced pros sharing their opinions. Updated: July 2026.

904,748 professionals have used our research since 2012.

reviewer2253402

Delivery Director at a computer software company with 1,001-5,000 employees

Aug 9, 2023

The data quality assessment requires third-party components and a separate license.

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reviewer1935849

Architect at a insurance company with 10,001+ employees

Aug 10, 2022

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.

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reviewer2056512

Works at a insurance company with 5,001-10,000 employees

Dec 18, 2022

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.

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Advisor Application Architect at CPS Energy

Sep 26, 2022

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.

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reviewer2230059

Project Coordinator at a computer software company with 201-500 employees

Jul 7, 2023

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.

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reviewer2197947

Senior Solution Architect at a pharma/biotech company with 10,001+ employees

May 29, 2023

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.

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TZ

Analyst at Roche

May 29, 2023

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.

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Product Categories

Product Categories

Data Governance

Metadata Management

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Product Categories

Product Categories

Data Governance

Metadata Management

Popular Comparisons

Popular Comparisons

Informatica Intelligent Data Management Cloud (IDMC) vs Quest Data Intelligence

Varonis Platform vs Quest Data Intelligence

Microsoft Purview Data Governance vs Quest Data Intelligence

Qlik Talend Cloud vs Quest Data Intelligence

Collibra Platform vs Quest Data Intelligence

Cyera vs Quest Data Intelligence

Ping Identity Platform vs Quest Data Intelligence

BigID Next vs Quest Data Intelligence

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