We performed a comparison between Fivetran and Informatica Enterprise Data Catalog based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Fivetran's most valuable feature is replication."
"The product has some seamless connectors, which are readily available."
"The simplicity of the solution is its valuable feature."
"The ease of usability is the most valuable feature. It's very easy and quick to set up. It also has a central hub as opposed to GoldenGate which is one direct interface. For GoldenGate I would have needed three interfaces whereas with HVR I have a central interface that manages everything."
"Fivetran is remarkably easy to use; I haven't encountered any other data integration tool that is as user-friendly."
"You can manage all of your connectors individually, which gives you a very good ability to trace which one of your ETL processes is running and when."
"The compare feature is the most valuable piece of it."
"There's the general feature of the platform where it just makes it very easy to integrate different things, but I would say a specific difference is their integration of DBT,."
"I rate the technical support a ten out of ten."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"The most valuable feature of Informatica Enterprise Data Catalog is it provides clients with a full view of the enterprise data assets. For example, how many data assets they have and who owns them."
"I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar."
"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."
"The product seems stable enough."
"The way that the solution scans is very useful."
"The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."
"The environment must be more development-friendly."
"I would like for them to incorporate additional transformations. A valuable aspect of the product is that it does inflight transformations and that could be expanded."
"I would like Fivetran to implement additional resource monitoring and restriction policies."
"Some of the pain points we're looking at are trying to integrate some of the items in the Microsoft stack, so SharePoint and Excel, and then some of the newer Azure services."
"The documentation can be laid out better to make it easier to find things, and I really wish there was built-in support for changing passwords. Some features don't work as advertised for the platform/repository database, and HVR is not always the fastest at getting results."
"Fivetran would be improved by adding the ability to integrate the data from third-party APIs."
"We use a separate tool for "reverse ETL", which is the opposite of what Fivetran does; it pushes data from your data warehouse back out to business applications. If Fivetran pulls data from those same applications, they should also enable users to push it back. I would love to do both ETL and reverse ETL in the same tool."
"We experience cost issues because Fivetran is charged on a usage basis. When you reach a certain level, the tool should focus on reducing the costs. The solution is expensive when you are moving gigabytes and petabytes of data. It should also focus more on REST APIs and webhooks."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"Currently, there are limitations in processing and the interface."
"They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities."
"The solution is quite expensive."
"The scalability is tough."
"IEDC can improve the comparison of lineages."
"It is not easy to set up and configure the tool."
"The model is somewhat flexible. There are certain aspects of the model that are not as flexible as we would like. It doesn't do certain things to a great level of depth. So, in situations where we want to drill in to do something specific, we have to essentially copy that data into our own structures in order to add that additional layer of flexibility."
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Fivetran is ranked 7th in Cloud Data Integration with 19 reviews while Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews. Fivetran is rated 8.0, while Informatica Enterprise Data Catalog is rated 7.6. The top reviewer of Fivetran writes "Solution reduces time-to-value; high ROI". On the other hand, the top reviewer of Informatica Enterprise Data Catalog writes "Great metadata management with more visibility and great technical support". Fivetran is most compared with AWS Database Migration Service, Qlik Replicate, Azure Data Factory, Oracle GoldenGate and Informatica Cloud Data Integration, whereas Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and Denodo. See our Fivetran vs. Informatica Enterprise Data Catalog report.
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