We performed a comparison between Alteryx and Google Cloud Datalab based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The initial setup is easy."
"You get more support with Alteryx, and it's good for non-sophisticated users who can benefit from the support included in the price."
"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."
"The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."
"Alteryx speeds up the time to obtain business answers/insights on data."
"The connectors are a very good feature."
"Geo features have made spatial mapping large retail universes possible."
"Alteryx is so advanced. It's just drag and drop."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"All of the features of this product are quite good."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"The APIs are valuable."
"Google Cloud Datalab is very customizable."
"Alteryx can improve in data science. They have to have more features and components in the data science aspect because they claim to be a data science tool. However, in order to be more competitive, they have to improve on their data science propositions. Thre are other solutions on the market, such as other players in the market, Data2Go or DataIQ, and Alteryx needs to catch up."
"When a process completes there is a notification, but the notification does not include the process's name."
"Alteryx can improve the model management and deployment processing of large workloads."
"In the database, it should be more functional and connect to more big data, especially using IPI."
"All of the reports are migrated or exported in an Excel file, and most of the time, a business intelligence tool is required. They could have better reporting. The aesthetic could be improved."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"The formula we currently use in Alteryx can be automated."
"Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud."
"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."
"There is room for improvement in the graphical user interface. So that the initial user would use it properly, that would be a good option."
"We have also encountered challenges during our transition period in terms of data control and segmentation. The management of each channel and data structure as it has its own unique characteristics requires very detailed and precise control. The allocation should be appropriate and the complexity increases due to the different time zones and geographic locations of our clients. The process usually involves migrating the existing database sets to gcp and ensure data integrity is maintained. This is the only challenge that we faced while navigating the integers of the solution and honestly it was an interesting and unique experience."
"The product must be made more user-friendly."
"The interface should be more user-friendly."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while Google Cloud Datalab is ranked 14th in Data Science Platforms with 5 reviews. Alteryx is rated 8.4, while Google Cloud Datalab is rated 7.6. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of Google Cloud Datalab writes "Easy to setup, stable and easy to design data pipelines". Alteryx is most compared with KNIME, Databricks, Dataiku Data Science Studio, RapidMiner and Qlik Sense, whereas Google Cloud Datalab is most compared with Databricks, IBM SPSS Statistics, Cloudera Data Science Workbench, IBM SPSS Modeler and FICO Decision Management. See our Alteryx vs. Google Cloud Datalab report.
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