We performed a comparison between erwin Data Intelligence by Quest and Informatica Axon 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 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."
"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."
"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 interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"erwin has tremendous capabilities to map right from the business technologies to the endpoint, such as physical entities and physical attributes, from a lineage standpoint."
"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 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."
"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."
"Axon has a marketplace that allows you to showcase all the assets the data owner has, so they can request access. That's one feature we use extensively. Axon also offers great visibility and intuitive searchability, allowing you to easily search data assets. You can check the lineage and see the work EDC does. EDC handles all the classification, cataloging, and lineage. It's integrated with Axon, and anyone can see that."
"The solution offers good data governance."
"The most valuable feature of Informatica Axon is features, interfaces, and data mapping. It represents clusters nicely."
"It's helpful in integration, and it can be moved around in SharePoint. So, from the SharePoint View, data integration and reporting, it help a lot in that way."
"The best thing about Informatica Axon is that it integrates with the Electronic Data Capture and the Axon system."
"The solution allows the complete governance process, starting from the data quality, those definitions, and it can get the data quality in the EDC."
"The product is stable."
"It is a scalable product."
"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."
"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."
"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."
"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."
"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."
"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."
"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."
"There are a lot of little things like moving between read screens and edit screens. Those little human interface type of programming pieces will need to mature a bit to make it easier to get to where you want to go to put the stuff in."
"I would like to have the solution in one product and technical support needs to be better."
"The main issue probably has nothing to do with end users, but installation can definitely be simplified."
"Permissions, scalability, and connection with other informatic tools are the main areas that need development. Integration with other tools, such as IDQ, is challenging. The management of data discovery is highly challenging because many data points have identical definitions."
"The GUI needs to be a little more user-friendly and appealing."
"The solution should improve its integration."
"Informatica Axon needs more integration connectors so that it can connect to systems and different kinds of datasets."
"I would like to see more API integration to have the capability to build a report using other third party reporting tools to streamline the operation."
"The solution still is a bit manual in its functionality. We want t to be more automation-driven."
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erwin Data Intelligence by Quest is ranked 4th in Data Governance with 18 reviews while Informatica Axon is ranked 3rd in Data Governance with 23 reviews. erwin Data Intelligence by Quest is rated 8.6, while Informatica Axon is rated 7.8. 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 Informatica Axon writes "It has a marketplace that allows you to showcase all the assets the data owner has". erwin Data Intelligence by Quest is most compared with Microsoft Purview, Collibra Governance, Alation Data Catalog, Collibra Lineage and AtScale Adaptive Analytics (A3), whereas Informatica Axon is most compared with Microsoft Purview, Collibra Governance, Alation Data Catalog, BigID and OneTrust DataGovernance. See our Informatica Axon vs. erwin Data Intelligence by Quest report.
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