Azure Data Factory Reviews

The support for SAP services and databases, specifically SAP HANA, has been a game-changer for us.

It would be helpful if they could adjust the data capture feature so that when there are source-side changes ADF could automatically figure it out.  

The solution needs to integrate more with other providers and should have a closer integration with Oracle BI.

I've been working with the solution for just over a year.

From what we have seen so far, the solution seems very stable.

The solution is scalable. Right now, we have only three or four people on it. We may increase usage int eh future.

We have direct technical support in Israel. In India, we haven't used it yet. However, for other services, the help provided is fine. 

The initial setup was pretty fast and simple. I wouldn't say it was too complex. For deployment, it depends on your environment. In our POC, it didn't take more than two to three hours. In the production environment, however, it takes a bit more time for operations.

In general, we've been satisfied with the pricing. However, since it's a service based on usage, it's really hard to estimate the cost in advance for this product. This makes it hard to quote. It's not so easy to estimate the costs in advance when giving a quote. That makes it difficult to convince some customers because most would like to see a number in advance. 

We primarily use the solution in a hybrid environment. We're Azure partners.

I would suggest others start with a small POC and with a smaller dataset or simple pipeline to test the product before fully implementing it. Users shouldn't hesitate to try it, because there are not so many risks. Practice is the best way to start with this service, as opposed to planning. 

I'd rate the solution eight out of ten.