We performed a comparison between Fivetran and IBM Cloud Pak for Integration 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."
"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."
"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 product has some seamless connectors, which are readily available."
"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."
"Fivetran can perform data migration incredibly fast, depending on the source and target."
"The portal is very intuitive and easy to use."
"It is not like a traditional ETL, but it gives quite a lot of flexibility."
"It is a stable solution."
"The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
"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."
"It should have a few more monitoring functionalities."
"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 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."
"Fivetran should add more connectors because its competitors, like Airbyte, have more connectors."
"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 solution is very expensive. I would like to have a better integration of the solution with Azure."
"The pricing can be improved."
"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."
"The initial setup is not easy."
"Its queuing and messaging features need improvement."
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Fivetran is ranked 6th in Cloud Data Integration with 19 reviews while IBM Cloud Pak for Integration is ranked 14th in Cloud Data Integration with 4 reviews. Fivetran is rated 8.0, while IBM Cloud Pak for Integration is rated 8.6. The top reviewer of Fivetran writes "Solution reduces time-to-value; high ROI". On the other hand, the top reviewer of IBM Cloud Pak for Integration writes "A hybrid integration platform that applies the functionality of closed-loop AI automation". Fivetran is most compared with AWS Database Migration Service, Qlik Replicate, Azure Data Factory, Oracle GoldenGate and Informatica Cloud Data Integration, whereas IBM Cloud Pak for Integration is most compared with IBM App Connect, IBM API Connect, IBM DataPower Gateway, MuleSoft Anypoint API Manager and Microsoft Azure API Management. See our Fivetran vs. IBM Cloud Pak for Integration report.
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