We performed a comparison between erwin Data Intelligence by Quest and MANTA Flow based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance."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 data mapping manager is the most valuable feature."
"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 solution saves time in data discovery and understanding our entire organization's data."
"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 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 interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"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."
"I believe it is very powerful. And for technicians, you can see the impact analysis, you can compare versions. So you can see some revisions against some of the oldest ones. You can compare and see which pipelines were updated between them. I think it is very helpful to both sides, the technical and business teams."
"The solution is stable. We have not found any fatal errors yet."
"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."
"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 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."
"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."
"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."
"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."
"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."
"I would like to have some kind of API where I could call this object and the revision that I want and the same object and another revision that I wanted to compare with. And I could not see it as some API in MANTA Flow, and we have this feature on the user interface."
"One area of improvement for MANTA Flow is to add as many new data sources as possible. We have found that maybe they can support 100, but not 101, unfortunately."
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erwin Data Intelligence by Quest is ranked 4th in Data Governance with 18 reviews while MANTA Flow is ranked 18th in Data Governance with 2 reviews. erwin Data Intelligence by Quest is rated 8.6, while MANTA Flow is rated 8.6. 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 MANTA Flow writes "Very Powerful, with cloud based scalability, and highly efficient for both business and technical teams". erwin Data Intelligence by Quest is most compared with Microsoft Purview, Collibra Governance, Alation Data Catalog, Informatica Axon and Collibra Lineage, whereas MANTA Flow is most compared with Collibra Lineage, Microsoft Purview and Alation Data Catalog.
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