We performed a comparison between erwin Data Intelligence by Quest and Veritas Data Insight based on real PeerSpot user reviews.
Find out in this report how the two Data Governance solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"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."
"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."
"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."
"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."
"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 solution saves time in data discovery and understanding our entire organization's data."
"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"The stability has been great."
"Veritas Data Insight has been instrumental in managing and categorizing data across our storage repository. The tool identifies valuable business data and distinguishes it from non-essential data. This capability empowers us to separate and exclude unnecessary data from our long-term retention strategy. Its valuable feature is alert mitigation."
"Data Insight is a good product to do everything. It is kind of transparent to administrators. It is also a very good solution with regards to GDPR compliance and regulations. Veritas is a well-established company, and it has a long legacy. Veritas solutions have expected stability and flexibility. It supports most of the flexible solutions in the market and has support for data protection, data monitoring, and things like that. In these ransomware times, it is a very important company with good solutions."
"The most valuable features of Veritas Data Insight are the ease of use, one console deployment for the administration, and backups that can be done in minutes. It is a very fast solution."
"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."
"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."
"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."
"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."
"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."
"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."
"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."
"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."
"The solution is not lacking any features at this time."
"Its deployment can be a little bit complex. It should be easier to set up. The ease of use of this solution can also be improved, and it could have a cleaner, up-to-date, and intuitive GUI. There are a lot of competitors out there with much nicer GUI and easier setup. It should have a better connection with the cloud sources and much more monitoring. I would like to have a single management interface for on-premises and cloud deployments so that we don't have to switch between them. Its technical support can also be a little bit better."
"Veritas Data Insight can improve the price."
"The nature of both data processing and start processes often involves varying timeframes for retrieval, mainly dependent on the historical data being accessed. When the request involves pulling information from six months or two years ago, the process may take longer."
More erwin Data Intelligence by Quest Pricing and Cost Advice →
erwin Data Intelligence by Quest is ranked 4th in Data Governance with 18 reviews while Veritas Data Insight is ranked 15th in Data Governance with 4 reviews. erwin Data Intelligence by Quest is rated 8.6, while Veritas Data Insight is rated 9.0. The top reviewer of erwin Data Intelligence by Quest writes "Enabled us to centralize a tremendous amount of data into a common standard, and uniform reporting has decreased report requests". On the other hand, the top reviewer of Veritas Data Insight writes " Identifies valuable business data and distinguishes it from non-essential data". erwin Data Intelligence by Quest is most compared with Microsoft Purview Data Governance, Collibra Governance, Alation Data Catalog, Informatica Axon and Collibra Lineage, whereas Veritas Data Insight is most compared with Varonis Platform, Microsoft Purview Data Governance and BigID. See our Veritas Data Insight vs. erwin Data Intelligence by Quest report.
See our list of best Data Governance vendors.
We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
