Alteryx

What differentiates Alteryx from other similar products?

With Trifacta, it becomes easy to do more with data given its many capabilities

What is your favorite aspect of this product?

The software helps when it comes to handling pre existing analytics and new analytics Comes with great features making analytics easy and more precise

What do you dislike most about this product?

Trifacta is not a software for beginners

What recommendations would you give to someone considering this product?

For effective data analytics preparations, Trifacta offers the very best features and is affordable too.

What differentiates Alteryx from other similar products?

The ability to design processes and apply them to data with equivalent attribute values, which reduces the amount of manual effort required, is the main advantage of trifacta. You can send numerous data sets with different patterns. Trifacta streamlines and scales our procedures.

What is your favorite aspect of this product?

I like to send data to a single location so that everyone can access it from the inside and organize and clean daily reports with Trifacta. Using our raw data, I am able to create complex spreadsheets to transmit to our data warehouse facility to produce reports. Large data sets may be changed without the need for manual virtual machine activation or SQL programming. You can select certain pieces to use and offer translation ideas thanks to the relative interactivity of the viewing profiles.

What do you dislike most about this product?

When gathering data, creating, and transporting samples, it might occasionally be a little slow.

What recommendations would you give to someone considering this product?

You may investigate, evaluate, and improve your data for your analysis using Trifacta advice. With Trifacta, it's simple to integrate human intelligence with artificial intelligence (AI) to access, transform, and automate data channelizations.

What differentiates Alteryx from other similar products?

Trifacta is a software system utilized by data analysts, scientists & engineers like me. To be honest, I completely enjoyed the process of data preparation while victimization this tool since it works smarter and quicker as compared to different tools. Besides, the requirement for correct and deep insights out of raw and messy datasets is something that may facilitate the growth of the business. Victimization Trifacta makes the preparation of data economical at the initial stage by getting deep insights.

What is your favorite aspect of this product?

Varied options & functions obtainable which may be used simply. We can easily import several kinds of files, and conjointly export the prepared flows for information Analysis or different uses to other Google Platforms like BigQuery or Cloud Functions. Huge flows will run within a few minutes. Quick response from the support team for each query & also work hard for solving the problems soon. Offer regular updates once or double a month. We tend to use this for transferring a medium quantity of information daily from Avro files.

What do you dislike most about this product?

It’s troublesome to share any project with other accounts. It might even be ideal if there was a way to edit workflows you’ve got exported. That way, one might export from one account, edit with an easy text editor the resulting JSON (or even build a script for that) and so import into another account. For us, that we work with many clients, each with a distinct account, it might make our lives easier. Also, it would be nice if it was compatible with a lot of databases and flat-text formats. However, it sounds like this is on the roadmap.

What recommendations would you give to someone considering this product?

It‘s easy to use and also the best data preparation tool out on the market. The combination with Google Cloud makes it even better. It’s a time saver and automates your data improvement with straightforward SQL commands. The transformation rules and macros are powerful—-this could be a great way of importing data into BigQuery while not having to write down the transformations programmatically.