We performed a comparison between Fivetran and Palantir Gotham based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."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 most important feature of the solution is its ability to build data pipelines in less time."
"The general data ingestion is valuable. It's used for a lot of data. It provides about 90% of the data we use in our data warehouse without needing data engineering."
"The product has some seamless connectors, which are readily available."
"The product is very easy to use and very easy to configure."
"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,."
"The portal is very intuitive and easy to use."
"For us, Fivetran has been able to scale both in terms of the data we bring into our warehouse and the amount of data that we use as well."
"This solution is seamless. From one platform, we can do just about anything."
"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 documentation is decent, but it's hard to find information online about Fivetran. For example, if you try to search for an error code, you won't find much information about it in forums."
"The environment must be more development-friendly."
"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."
"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."
"It should have a few more monitoring functionalities."
"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."
Earn 20 points
Fivetran is ranked 13th in Data Integration with 19 reviews while Palantir Gotham is ranked 33rd in Data Integration with 1 review. Fivetran is rated 8.0, while Palantir Gotham is rated 8.0. The top reviewer of Fivetran writes "Solution reduces time-to-value; high ROI". On the other hand, the top reviewer of Palantir Gotham writes "A seamless all-in-one solution ". Fivetran is most compared with AWS Database Migration Service, Qlik Replicate, Azure Data Factory, Oracle GoldenGate and Informatica Cloud Data Integration, whereas Palantir Gotham is most compared with Palantir Foundry, Stone Bond Enterprise Enabler, Azure Data Factory and SAS Data Management.
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