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.
"The most valuable feature of Fivetran is that it only synchronizes what needs to be synchronized."
"Fivetran is remarkably easy to use; I haven't encountered any other data integration tool that is as user-friendly."
"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."
"The compare feature is the most valuable piece of it."
"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."
"Its arrays are powerful enough to handle migrations even when the replication is happening in the background, without causing any trouble with the ongoing traffic."
"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."
"Fivetran's most valuable feature is replication."
"The solution scales well."
"The way that the solution scans is very useful."
"The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best."
"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 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."
"The product seems stable enough."
"I rate the technical support a ten out of ten."
"We can scan anything."
"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."
"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."
"The customization could improve because Fivetran gives more thought to people who don't want to manage analytics workflows rather than engineers who want to be able to customize pipelines more thoroughly."
"Fivetran is very expensive for data sources with a lot of rows, such as email data. I would like to see cheaper pricing for data sources like that."
"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."
"More connectors are needed for exotic, popular, and rising star portals."
"The connections with SAP must be improved."
"I would like Fivetran to implement additional resource monitoring and restriction policies."
"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."
"It is not easy to set up and configure the tool."
"IEDC can improve the comparison of lineages."
"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."
"It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"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."
Fivetran is a data integration and migration solution that centralizes data from various sources into a data warehouse (such as Snowflake or BigQuery) for analytics. Its most valuable features include replication and managed pipelines, integration with DBT for data transformation, and many source connections.
Fivetran is easy to use, with fast data migration and an intuitive portal for easy setup and troubleshooting. It has helped organizations integrate and manage data, saving time and resources.
Informatica Enterprise Information Catalog provides a machine-learning-based discovery engine to collect data assets across the enterprise while increasing the understanding of those data assets through a graph-based enterprise information catalog. Powered by Informatica’s unique metadata services engine, Enterprise Information Catalog enables business analysts and data stewards to find all types of data across the enterprise; discover relationships among them; enrich data with business glossary terms and crowdsourced annotations; and understand the provenance, quality, and usage of their data.
Fivetran is ranked 7th in Cloud Data Integration with 16 reviews while Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 9 reviews. Fivetran is rated 8.0, while Informatica Enterprise Data Catalog is rated 7.4. The top reviewer of Fivetran writes "Easy integration for onboarding new sources of data, but the logging is complicated". On the other hand, the top reviewer of Informatica Enterprise Data Catalog writes "An enterprise-scale solution with a pretty robust set of tools for scanning a variety of information sources". Fivetran is most compared with AWS Database Migration Service, Informatica Cloud Data Integration, Qlik Replicate, Azure Data Factory and Oracle GoldenGate, 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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