I find Informatica Data Engineering incredibly valuable due to its seamless integration with big data and cloud systems, which makes my data workflows much more efficient. The drag-and-drop pipeline design is a standout feature, simplifying the process of designing ETL workflows by allowing me to connect almost any source or target effortlessly. I appreciate how the tool simplifies ingestion, transformation, and loading, streamlining my data processes. Moreover, the excellent connectivity capabilities ensure that I can work with a wide array of data sources without hassle. I am also impressed by its strong error handling, which provides reliability and robustness to data processing tasks. The platform is user-friendly, and I appreciate how straightforward the setup process was, thanks to the clear sequence of steps provided. These features collectively enhance the overall usability and effectiveness of Informatica Data Engineering in my data engineering tasks. Review collected by and hosted on G2.com.

I find that complex mappings and processing of larger data sets sometimes run slower than expected with Informatica Data Engineering. Review collected by and hosted on G2.com.

The connectivity and compatibility Informatica provides with a diverse base of data sources. They keep up with the latest changes in data engineering and have been providing solutions to latest data problems. Review collected by and hosted on G2.com.

Their charging model is quite finance focussed. Even for migrating from its own older offering to the newer cloud platform, the costs are too high. There should be internal compatibility among the same league of products without any additional charges. Review collected by and hosted on G2.com.

Informatica Powercenter is one of the earliest tool which is used by most of the dataengineers for etl. Simple UI and Simple Drag and Drop makes it easier for use. Review collected by and hosted on G2.com.

It needs to update a lot ,as it is some earlier kind of tool.It doesn't have some functionalities which modern etl tools provide with their basic plan. But it can be used with python to make full use of it. Review collected by and hosted on G2.com.

Best thing is the ease of using and the tools it provides for creating ETL pipelines in fast and effective manner, also the availability of cloud version is really a good part Review collected by and hosted on G2.com.

Support of all the kind of data files should be there, like Kafka topics or plugins for mainframe files so that the pipeline can expect all kinds of sources to pull data Review collected by and hosted on G2.com.

It's well-designed and programmed and you get to extract a lot of data in a fraction of a second. The security is well too. Which is at par or equal to other competitors. Review collected by and hosted on G2.com.

I have faced several challenges in finding the right projects to work with. Workflows are extremely complicated. This could be better by implicating easier and minimal user interfaces. Review collected by and hosted on G2.com.

The UI and the ease of seeing the mapping, logic, transformation, code, all other components of workflow. The user friendly UI provides user to backtrack issue very easily. Review collected by and hosted on G2.com.

Sometimes setting up the repository might take some time. And the SCD concept implementation can be more easy from the view of tester. Review collected by and hosted on G2.com.

A holistic tooset and development tool for building data engineering which caters most of the sources and targets and having complex transformation logic. Review collected by and hosted on G2.com.

Nothing as such, it caters most of the use cases. Review collected by and hosted on G2.com.

It's just user-friendly and lots of options to explore as data Engineer. Review collected by and hosted on G2.com.

I feel the UAI would be designed much better. Otherwise all are well and good with maximum options for developer, Engineer and Data Analyst. Review collected by and hosted on G2.com.

1.easy to use

2.easy to learn

3.everyone helped me to improve my experience

4.workflow and monitor is useful

5.the best software to help manage database

6.it worked in vmware Review collected by and hosted on G2.com.

Nothing till now,

Everything is ok

No Review collected by and hosted on G2.com.

Scalable and able to handles huge data and high quality data Review collected by and hosted on G2.com.

Did not encounter as such as of now, will surely post in forum if any Review collected by and hosted on G2.com.