Alteryx Designer Cloud (formerly Trifacta) Reviews

In designer cloud we use to minimize the number of errors while production, which helps in improving the productive of mine. This is very good appliction which is recommanded to every one.

In designer cloud , the errors we get before submitting to the quality check it takes lots of time to process one file. Request to minimize the processing time of the application.

In, Designer Cloud its helps in the data preparation for the DTL data for the loading .This tool helps us in getting smooth process without any loading issue or problms

It helped alot in my project for data readiness and data mapping to the raw data along with this even we have a huge dataset it works really well for data validation.

Main dislike I have seen it sometimes take more times to run and map the raw data to the any data load template files. For beginners person who worked on this tool will face more confusing to understand the steps of this process.

It is useful and easy to perform ETL operations in designer cloud tool. On premise data centers are reducing day by day. If you need to increase or decrease the space usage, you can easily fetch that.

We can easily do ETL and it is very user friendly. Connectivity with other is awesome

Sometimes pricing can be high but according to the use case it depends.

Etl becomes quite easy and the data can be used for reporting and it is user friendly

It is eacansy to use and it"s a user friendly . The work can be completed in easy ways with less duration of time. It save my and company time while maintaining data

This will take some more time to map the dataset. Also we have to review deeply for giving information. For beginners it is tough to understand the steps.

It help my complex data to get simplified, and make Large data in small and simplified form, I have been using to easie my work and save most of my time with the help of this.

From the moment I started using Designer Cloud, I was impressed by its intuitive and user-friendly interface. The tool's design is clean, well-organized, and allows for effortless navigation. Even as a newcomer to the application, I found it incredibly easy to learn and quickly adapt to its features.

I didn't find any major disadvantage apart from one of the factors. Unlike the desktop version of Alteryx Designer, which allows users to work offline, the cloud version requires a continuous internet connection. This lack of offline functionality can be a disadvantage if we need to work on our projects while traveling, in areas with limited internet access, or during internet outages. It restricts our ability to work on your data analysis tasks without an active internet connection, which can be inconvenient for users who require uninterrupted access to their workflows.

Alteryx Designer Cloud has significantly streamlined my data preparation process by providing a comprehensive cloud-based platform. With its robust features and intuitive interface, I can efficiently cleanse, transform, and analyze data without the need for complex coding, enabling me to save time and focus on deriving valuable insights.

Designer cloud supports collaboration among team members by allowing them to share workflows,data connections, and analytic applications and this saves time and effort by eliminating manual processes and allow users to focus on higher-value tasks.

When used cloud based solution, organization need to consider data security and privacy concerns.It is important to ensure that appropriate security measures are in place to protect sensitive data and comply with relevant regulations.

Cloud provides a range of tools and functionalities to clean, transform,and prepare data from various sources.It can help solve related to data Quality,data inconsistentencies,missing values, and data integration challenges l.

The best thing to like about the designer cloud it reduces time. The loading time for the DIL files are really to less. The data processing is really to fast ,also we can save the cost by using

The UI have some bugs and glitches, if we load the huge datasets it stuck and fails to load the entire data sheets. By paying this much amount the features should be more.

The most important use is that, it reduces the pricing incompatibility data matrix, I have lot of benefits by using designer cloud Saving my time, cost and learning things scalability of data warehouse to get insights faster as unexpected i can say it is the best tool to use.

This tool is really best for the raw files to load and run the file more effectively.it maps very well to the raw data. Its a beneficial took for data readiness.

It has the performance issues when we try to pull a large amount of data and takes a lot of time to run the validate the raw files. The UI has some glitches when import the large files.

Data quality is really impressive after the data process and operations and the main benefit is to creative interactive reports with the help of different visualization.

I liked this tool in the field of data mapping and data segregating. It also validate the huge data with good accuracy. It helps alot in customer raw data clean up.

The main drawbacks of this tool is more confusing for the new users while running this. Sometime it takes more time to map the data and validate the raw data to any template files.

Main problem is data mapping and data validating thinks it works very well. In our process we use Alteryx where we easily map the data to get the output of GLPROD & SFDC object.

This tool helped alot in our process for data validation things. It maps the data to the original template data really well also will rectify the data more frequently.

It take sometimes large number of time to run and map the data if the data is huge. Along with this it is confusing while selecting the input files and if any operating unit needs to be select.

Data mapping and rectification the raw dataset problems solved by this tool. It will easily give easily more clean up data and validate more efficiently to the given data template files.