Top Rated Designer Cloud Alternatives
Dataprep is an excellent tool to take your dataset structure or unstructured to clean, enrich, transform before you publish. The Dataprep tool is easy to use with its simplicity , that is how a UI should be simple for the user packing a lot of punch behind the scene. I have used Dateprep in the Google Cloud Platform, and it integrates with other Google Cloud Platform services in an easy step by step fashion.
On the Google Cloud Platform Dataprep is setup as service on a serverless environment, to get started there is no hardware or software installation required, you just enable the service to start.
I have done a few transformations and I wrote up an article about one specific project I worked on with Dataprep, you can find the article on my blog at this address https://torbjornzetterlund.com/maritime-noon-report-with-google-cloud-dataprep/ Review collected by and hosted on G2.com.
Knowing your datasets are important, so when you import your dataset into Dataprep you do not need to wrangle them a lot. I have used an early version of Dataprep on the Google Cloud Platform, you could only get data from BigQuery, Cloud Storage or a direct .csv/.json file import. Limited data connectors, I understand that this is changing in the new version of Dataprep. Review collected by and hosted on G2.com.
Video Reviews
Excellent data wrangling tool
164 out of 165 Total Reviews for Designer Cloud
Overall Review Sentiment for Designer Cloud
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I teach relational databases and machine learning coursework, and I spend a lot of time in my classes discussing the use of relational algebra and workflows and trying to convince unimpressed students in its importance. Alteryx Designer Cloud incorporates relational algebra operations alongsite a more extensive suite of data management, cleaning, and manipulation tools and organizes them in exactly the same way as we teach. This is a great way to make unsuspecting accountants and marketing folks learn the theory of database management systems, among other things. Review collected by and hosted on G2.com.
Designer cloud is limited in its functionality. As Alteryx tools are essentially a shell around the Python libraries like pandas, sklearn, nltk, and so on, I would REALLY love to see a fuller coverage of the functionality provided by those packages. Review collected by and hosted on G2.com.
What I like most about alteryx is the quick way of learning, in just a few hours using the tool, if you have a little knowledge about ETL, you can understand how it works and this makes you open your mind to discover more and more. It's Passionate Review collected by and hosted on G2.com.
For now, the number of tools is limited, but I know that Alteryx is bringing a lot of good things. We just need to wait Review collected by and hosted on G2.com.
Designer Cloud is Alteryx next big thing. I really enjoy the flexibility and the connectivity possibilities it offers. Review collected by and hosted on G2.com.
Not to dislike, but there is definitely a learning curve to understand how it works compared to the desktop version. Review collected by and hosted on G2.com.
Non desktop based
Can connect to nearly all cloud datasources
the new way to alteryx Review collected by and hosted on G2.com.
Since Designer cloud is still new it has alot of growing to do but it still is hitting the ground running Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
Accessibility,Collaborative Features,Automatic Updates, Ease of Use, Cost Savings.Designer Cloud may offer subscription-based pricing models, which can be more cost-effective compared to purchasing and maintaining expensive design software licenses. Users can often choose from different subscription tiers based on their needs, paying only for the features and services they require. Review collected by and hosted on G2.com.
Internet Dependency: Since Designer Cloud operates in the cloud, a stable internet connection is necessary to access and use the software. If the internet connection is slow or unreliable, it can hinder the user's ability to work efficiently or may result in loss of work if the connection drops unexpectedly. Review collected by and hosted on G2.com.
