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165 Designer Cloud Reviews
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Dataset insights are really useful especially when you need to discover data distribution between dataset features. Usage can be learnt by no technical people.
Job are monitored in a very simple way using dataflow UI. Review collected by and hosted on G2.com.
No sources despite gstorage and big query. Lack of udf transformations
I can't specify max number of workers in job creation.
Apache beam version is not the latest one.
Some jobs making use of views stopped working without any clear reason. Review collected by and hosted on G2.com.
the possibility of analyzing each variable separately and, together with the others.
The generation of graphs directed to certain parameters is also very interesting. Review collected by and hosted on G2.com.
The operational procedures for preparing and generating the workflow is somewhat confusing. I usually spend a little time trying to understand what is being done. Review collected by and hosted on G2.com.
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The interface and the ease of use are definitely the strong points as well as the time that is saved from the process of dataprep. Review collected by and hosted on G2.com.
I can honestly say that there is nothing that I dislike, perhaps something that I have noted the change in interface on the flows tab is not as great as it was. Review collected by and hosted on G2.com.
I love Trifacta's UI because it saves a lot of time prepping the data.
For instance, by seeing data quality along with the data itself, I can figure out and decide the actions immediately instead of visualizing and checking it.
The AI-supported suggestion comes in handy when prepping data because just by dragging or selecting within the UI, Trifacta provides some suggestions on what I might want to do. The suggestion and preview make Trifacta more powerful because I don't have to search for functions I want to use.
Last but not least, Trifacta uses distributed computing, and hence, I don't have to rewrite the tiny snippets into Spark which is very time-consuming and error-prone. Review collected by and hosted on G2.com.
Data prepping always run on a distributed computing environment which becomes an overkill when I want to prep only a few KB or MB of data. Review collected by and hosted on G2.com.
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Real time preview and recipe suggestions and ability to provide useful suggestions. The best feature is the user interface that makes it very easy to understand the raw and deduce useful insights. Review collected by and hosted on G2.com.
Identification of delimiters for very unstructured data Review collected by and hosted on G2.com.
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The user interface is very convenient and it is easy to use. As compared to python or other programming languages, you don't have to write long codes to prep the data for analysis. Also, the review feature, which allows you to see the changes you are about to do beforehand is very helpful. In the whole data analysis process, prepping the data is the most tedious and time-consuming part but with Trifacta it has become more efficient. Review collected by and hosted on G2.com.
I was using the student version and there was a limit of 1gb on the processing the data. This was a bit frustrating because while I wanted to use the software for big data projects and everything, the limit set hindered my use. Review collected by and hosted on G2.com.
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.
A good interface, lots of features, and fairly easy to use web app. As a beginner user, it was not so difficult to get a handle on the software suite and figure out how to do some comparatively elementary wrangling and sorting of my data to get it into a more workable state, and so in that sense it was quite valuable. However, I realized that it was too much software for the relatively limited use case that I had, and unfortunately due to the coronavirus our business plan was changed and that obviated the need to continue with data analysis at that level for the time being. Review collected by and hosted on G2.com.
An overly aggressive sales model, and a seeming lack of communication by internal sales teams resulting in receiving emails from 3 to 4 different inside sales reps simultaneously rather than a single point of contact. Admittedly, I think that their model isn't necessarily bad and for a more advanced user it would be trivial to initiate contact and begin a detailed discussion of comparative needs and pricing models to find out whether Trifacta fit their organizations needs or not. All of my contact with the Trifacta team was quite professional and positive, but as a beginning user trying to figure out what my needs were, it felt a bit overwhelming. Review collected by and hosted on G2.com.
It is user friendly, requires mostly knowledge of logic, of how to transform and normalize data. Review collected by and hosted on G2.com.
The job runs cannot be as customized as one might need. It only allows Append, or create a new Table, it doesn't offer the option to upsert data. That would be a great improvement. Review collected by and hosted on G2.com.
User friendly interface, with no coding nessisary. Filled with so many trnaformations Review collected by and hosted on G2.com.
I don't perticularly dislike anything, it's very good. Review collected by and hosted on G2.com.