We performed a comparison between erwin Data Catalog by Quest and IBM InfoSphere DataStage based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, Alation, SAP and others in Metadata Management."The data catalog feature is pretty good."
"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming. That's one of the main benefits we use it for."
"Once you have Infosphere up and running properly, it is stable."
"We can view what we want to do. We can transform data and put them on tables."
"DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too."
"The most valuable feature is the data integration for data warehousing."
"ETL is the most valuable feature."
"IBM is stable and accurate to monitor. It's easy to understand to monitor the data lineage from source to target."
"When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses."
"We like the flexibility of modeling."
"There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names."
"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"The solution should be more user-friendly."
"The initial setup can be complex."
"The troubleshooting guide is very bad."
"It would be useful to provide support for Python, AR, and Java."
"The interface needs work to be more user-friendly."
"The documentation and in-application help for this solution need to be improved, especially for new features."
"It doesn't have any big data connections. It would be good to have them because most of the systems are moving towards big data. There should also be a user-friendly way to interact with the cloud. Its loading process is very slow. It takes a lot of time for around 5 or 6 million records, and we are not able to provide real-time data to the vendors due to this delay. Its performance needs to be improved. It is also like a legacy system. It is not updated much. In higher versions, they only do small changes. We would like to have new features and new technologies."
"The solution can be a bit more user-friendly, similar to Informatica."
erwin Data Catalog by Quest is ranked 12th in Metadata Management with 2 reviews while IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews. erwin Data Catalog by Quest is rated 7.6, while IBM InfoSphere DataStage is rated 7.8. The top reviewer of erwin Data Catalog by Quest writes "Helps with metadata management, saves time, and allows us to do impact analysis on any changes". On the other hand, the top reviewer of IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". erwin Data Catalog by Quest is most compared with Informatica Enterprise Data Catalog, Talend Open Studio, Oracle Data Integrator (ODI), Alation Data Catalog and WhereScape RED, whereas IBM InfoSphere DataStage is most compared with SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Informatica PowerCenter.
We monitor all Metadata Management 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.