Designer Cloud Reviews & Product Details - Page 7

Step by step configuration, visual presentation Review collected by and hosted on G2.com.

Complex scheduling and multiple failures Review collected by and hosted on G2.com.

The ability to check the effects of each operation on data is very useful.

The documentation of the functions is excellent and easy to consult.

Big data export is fast thanks.

The cloud application saves a lot of time, no configurations or compatibility problems with operating systems. Review collected by and hosted on G2.com.

Unfortunately, the free version is limited and it is not easy to have the opportunity to try the full version before buying it.

Unfortunately, the visualization of many datasets connected with them is sometimes complicated, the models are superimposed and there is no possibility of reorganizing them.

They added another type of visualization which is still in beta for now, it will probably solve the problem. Review collected by and hosted on G2.com.

The ease of use that provides agility and speed to provide the correct view of the data for business value to the enterprise. The ability to provide an automated data profile pipe-line and manage via exception. You do not need to understand development to use Trifacta you only need to understand your data and business. Makes it easy for business users to use Trifacta. You can perform complex data profiling and wrangling task easy and with the necessary speed business demand Review collected by and hosted on G2.com.

I have not come across any downside using Trifacta Review collected by and hosted on G2.com.

Dataprep is intuitive to use if you have some background knowledge in data wrangling, but it is also a great platform to learn the data wrangling concepts by applying them. Review collected by and hosted on G2.com.

The interface is relatively slow. The platform's main point of weakness in my opinion is the fact that it only displays samples of the data instead of the entire dataset - which can be misleading, especially when working with specific functions. It should be possible to allow working with entire datasets instead of just samples.

The new drag-and-drop interface is not as easy to use as I would want it to be (even though it is still in beta). It is relatively hard to understand how everything works while dragging different recipes around. It would help to have a comprehensive guide on how to use this new functionality. Review collected by and hosted on G2.com.

I am in machine learning and AI as a data analyst. Trifacta by far is the most convenient software i have used by far. I am able to create flows and save them in order to use those data transformations again when we run similar reporting. Review collected by and hosted on G2.com.

I would like Trifacta to integrate a little more to be able to sit within my applications or development. But it works just great the way it is. Review collected by and hosted on G2.com.

The ease of loading unclean data into bigquery. Different formats & edits can be made while loading. The feature to show the number of records that don't align to the type of data makes it extremely useful.

The scheduling feature that runs seamlessly.

The multiple different output & input formats & locations. Review collected by and hosted on G2.com.

When the number of unclean records are shown, there needs to be a way to view just these and be able to correct each of them or have a feature of make edits for specific records.

There needs to be a way to notify when there is an error, an email to the owner of the flow.

Default access to all the workflows within the organisation, instead to needing to share them one by one. Review collected by and hosted on G2.com.

Trifacta is easy to pick up and play, to import, cleanse data and export to another system (in our case Bigquery) is really simple and intuitive. The tool's suggestion on data cleansing options is spot on as well.

For a cloud based system data uploads incredibly quick. Review collected by and hosted on G2.com.

Lacks some of the functionality of rivals such as setting up a joint workspace, although flows and dataset can be sent to others it would be great to share some sort of project with colleagues. Review collected by and hosted on G2.com.

I like the ability to transform the data on Google Cloud Data Prep without coding, it is a absolute game changes for business users who work with data day in and day out but don't have coding skills. We also like the AI features where we can transform the data by example which gives us the ability to provide few examples and datapre takes care of the transformation. we also liked the ability to integrate datapre with rest of the cloud service on Google Cloud Platform like Bigquery and Google cloud storage. Review collected by and hosted on G2.com.

Current version that we used did not had the ability to connect to on-premise database like oracle, we had to create jobs in python which is time consuming and we had to rely on IT team to get the task done.

We would also like to see feature to extract data in xlsx files which we don't see currently

Is there a feature to orchestrate Data Flows without using third party schedules like airflow

Feature to create Custom filters (in a drop down)

We are absolutely new to wrangler programing language so we had to learn to build few custom transformation that were not available out of the box Review collected by and hosted on G2.com.

Data processing in the click of buttons. Features such as Join and other transformations are very useful. Instead of using python libraries, this is the quickest way for data processing. Moreover, its affiliation with Google cloud platform helps to create the model in short period of time. The data processed using Trifacta dataprep can be directly used for AutoML tables. It provides insights like the correlation between columns. The interface displays the histogram showing the spread of data, along with histogram dataprep displays the type of data i.e. categorical or numerical. It also has the feature for standard datatypes like date, phone number, address, etc. It can also process the .json format data into structured data useful for Machine Learning. Review collected by and hosted on G2.com.

The interface lags sometimes could be more smooth and lightweight. Not much of the resources available, video tutorials on Youtube if produced can help a lot. Review collected by and hosted on G2.com.