We performed a comparison between AWS Data Pipeline [EOL] and Fivetran based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration."It is a stable solution...It is a scalable solution."
"The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool."
"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 solution is stable. We've never faced any stability issues."
"The compare feature is the most valuable piece of it."
"The most valuable feature of Fivetran is that it only synchronizes what needs to be synchronized."
"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."
"It is not like a traditional ETL, but it gives quite a lot of flexibility."
"The product has some seamless connectors, which are readily available."
"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 user-defined functions have shortcomings in AWS Data Pipeline."
"It's almost semi-automatic because you must review and approve code push, which works well. Still, we had many problems getting there during the deployment process, but we got there."
"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."
"It should have a few more monitoring functionalities."
"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 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."
"The solution is very expensive. I would like to have a better integration of the solution with Azure."
"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 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."
AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews while Fivetran is ranked 6th in Cloud Data Integration with 19 reviews. AWS Data Pipeline [EOL] is rated 8.0, while Fivetran is rated 8.0. The top reviewer of AWS Data Pipeline [EOL] writes "A tool with great orchestration and development capabilities but needs to improve its user-defined functions". On the other hand, the top reviewer of Fivetran writes "Solution reduces time-to-value; high ROI". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and IBM Cloud Pak for Integration, whereas Fivetran is most compared with AWS Database Migration Service, Qlik Replicate, Azure Data Factory, Oracle GoldenGate and Informatica Cloud Data Integration.
See our list of best Cloud Data Integration vendors.
We monitor all Cloud Data Integration 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.
