Best for big data prep
Overall Satisfaction with Alteryx
Alteryx is to my knowledge the most efficient tool for agile data preparation. I use it massively as a low-code yet elaborate-feature-rich piece of software to acquire, transform, cleanse and analyse data, generally big data, from various and heterogeneous sources as required for the corporate internal audit assignments which cover the full scope of business units and activities in the company I work with.
Pros
- data prep
- acquiring data from various sources in various formats
- combining (joins), (even fuzzy) matching, parsing
- dealing swiftly with big data
- providing a graphical (audit) process trail
Cons
- (basic) machine learning functionalities
- practical visualization outputs
- (even) more straightforward integration of Python and R code
- SQL push down (translation of workflows into SQL code)
- (full blown) cloud version of Designer
- data prep can be developed 10x faster than with classic tools or raw SQL
- low-code enables embarking directly data owners saving a layer of consultants or IT
Knime is open source and free. It also positions itself a little on machine learning. But the user experience and the features available are far less powerful than Alteryx. I was a former user of Lavastorm (ancestor of Infogix Data360) and got acquainted with the low-code graphical approach thanks to this tool. RapidMiner is the Alteryx for machine learning, but is not at all as tooled as Alteryx for data prep. I also like to use Orange BioLab which is really for machine learning and offers an excellent low-code/graphical user experience... on top of being free.
Do you think Alteryx delivers good value for the price?
Yes
Are you happy with Alteryx's feature set?
Yes
Did Alteryx live up to sales and marketing promises?
Yes
Did implementation of Alteryx go as expected?
Yes
Would you buy Alteryx again?
Yes
Comments
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