We performed a comparison between Fivetran and SAP Data Services based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The compare feature is the most valuable piece of it."
"Fivetran's most valuable feature is replication."
"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 simplicity of the solution is its valuable feature."
"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."
"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."
"Fivetran is remarkably easy to use; I haven't encountered any other data integration tool that is as user-friendly."
"We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level."
"It's easy to understand and deploy. It's easy to create new applications, and depending on the complexity of the application, it is easy to deploy the new requirements."
"The reporting on the data, even from third-party software, is very good."
"The feature of SAP Data Services has enhanced our company's business processes because we are able to run around 800 jobs in areas like data extraction and transaction objects."
"The fact that it's built on SQL, it makes it easy to write code. The database and the connection are quite smooth."
"Data Services' table comparison mechanism is very powerful. It's pretty hard to find a similar feature in other solutions."
"It is a powerful product with a broad range of features."
"The most valuable features of SAP Data Services lie in its ability to effectively observe and interpret the information within data related to people or facts, stands out."
"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."
"The interface needs to be more user-friendly."
"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."
"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."
"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."
"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."
"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."
"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."
"We would like the different tools offered within this solution to be available as standalone entities, rather than having to purchase the entire package when we only require a few features."
"The initial setup is complex."
"It would be nice if this solution was a bit easier to move from development to production."
"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome."
"We encounter challenges while exporting implemented rules, such as those applied to objects like the material master, into a format like Excel for documentation and further analysis."
"Some of the jobs that are built within Data Services require local files, and during initial deployment, those local files cannot be transported between machines simply because of security issues."
"In the future, Data Services should offer a cloud version."
Fivetran is ranked 13th in Data Integration with 19 reviews while SAP Data Services is ranked 10th in Data Integration with 45 reviews. Fivetran is rated 8.0, while SAP Data Services 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 SAP Data Services writes "Responsive support, scalable, and beneficial integration". Fivetran is most compared with AWS Database Migration Service, Qlik Replicate, Azure Data Factory, Oracle GoldenGate and Informatica Cloud Data Integration, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and Palantir Foundry. See our Fivetran vs. SAP Data Services report.
See our list of best Data Integration vendors and best Cloud Data Integration vendors.
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