We performed a comparison between Alation Data Catalog and erwin Data Intelligence by Quest 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."The most valuable features of Alation Data Catalog are the simplicity in onboarding data sources, the security in securing the data sources, and the way the various users of Alation Data Catalog communicate with each other through a messenger."
"Alation Data Catalog's best feature is the SQL query publication."
"The platform's most valuable features are workflow automation, automated business metadata tagging, technical metadata tagging, and data integration with data quality tools or platforms."
"We had some of our data science engineers, who had built out some cloud-based data and data products for users. They were spending a lot of their time, up to 30 to 35% of their time, answering questions about the data and helping people understand how to use it. Once they were able to document that information within Alation, they were only focusing on around 5% of the high-value questions that really couldn't be solved through the catalog itself. It freed them up to be more productive, it made their end-users more productive, and it made the adoption rate of their data products rise more quickly because people were able to get to using them."
"We can customize templates based on our use cases."
"Given the relatively low level of maturity, Alation's most relevant feature at the moment is a user interface that's easy to navigate, which helps us find and understand the data. So while Alation has a lot more functionality, our pain point right now is being able to easily find, understand, and trust the information to use it."
"The tool's metadata cataloging is the most valuable feature."
"The possibility to write automation scripts is the biggest benefit for us. We have several products with metadata and metadata mapping capabilities. The big difference when we were choosing this product was the ability to run automation scripts against metadata and metadata mappings. Right now, we have a very high level of automation based on these automation scripts, so it's really the core feature for us."
"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."
"We always know where our data is, and anybody can look that up, whether they're a business person who doesn't know anything about Informatica, or a developer who knows everything about creating data movement jobs in Informatica, but who does not understand the business terminology or the data that is being used in the tool."
"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"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 solution saves time in data discovery and understanding our entire organization's data."
"They have just the most marvelous reports called mind maps, where whatever you are focused on sits in the middle. They have this wonderful graphic spiderweb that spreads out from there where you can see this thing mapped to other logical bits or physical bits and who's the steward of it. It's very cool and available to your business teams through a portal."
"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 interface is not user-friendly."
"The tool's domain model needs to be changed."
"Alation Data Catalog needs to develop a lot in terms of data governance and would be improved with a built-in interactive data quality solution."
"The product's data governance features need improvement."
"Alation Data Catalog doesn't support end-to-end lineage. By that, I mean the ability to trace the movement of data from when it first comes into our organization to where it's consumed."
"Alation Data Catalog does not provide end-to-end data lineage."
"I know that this has been on their roadmap and they're working on it, but as a whole, there's an untapped reservoir of capabilities within their article features that could be used and built upon."
"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 data quality assessment requires third-party components and a separate license."
"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."
"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."
"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."
"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."
"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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Alation Data Catalog is ranked 5th in Data Governance with 7 reviews while erwin Data Intelligence by Quest is ranked 4th in Data Governance with 18 reviews. Alation Data Catalog is rated 7.8, while erwin Data Intelligence by Quest is rated 8.6. The top reviewer of Alation Data Catalog writes "The catalog now provides an opportunity for people to come together, to share, and to find". On the other hand, 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". Alation Data Catalog is most compared with Microsoft Purview Data Governance, Collibra Governance, Informatica Axon, Informatica Enterprise Data Catalog and Collibra Lineage, whereas erwin Data Intelligence by Quest is most compared with Microsoft Purview Data Governance, Collibra Governance, Informatica Axon, Collibra Lineage and AtScale Adaptive Analytics (A3). See our Alation Data Catalog vs. erwin Data Intelligence by Quest report.
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