We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.
WPS is used in production on a huge range of systems at sites around the world. Thousands of analysts are using WPS in their daily data processing and analysis tasks, and thousands more rely on the heavy-lifting ability of WPS overnight and scheduled processing to deliver the information they require. Customers are able to choose to run WPS software on IBM z/OS Mainframes, servers and workstations running UNIX, Linux, Solaris, AIX, macOS and the full range of Microsoft Windows operating systems to fit in with existing or planned infrastructure.
Google Cloud Datalab is ranked 19th in Data Science Platforms with 1 review while WPS Analytics is ranked 26th in Data Science Platforms. Google Cloud Datalab is rated 8.0, while WPS Analytics is rated 0.0. The top reviewer of Google Cloud Datalab writes "Stable, feature-rich, and easy to set up". On the other hand, Google Cloud Datalab is most compared with Databricks, IBM Watson Studio, Microsoft Azure Machine Learning Studio, Cloudera Data Science Workbench and MathWorks Matlab, whereas WPS Analytics is most compared with SAS Visual Analytics, Alteryx, SAS Visual Data Mining and Machine Learning, RapidMiner and Databricks.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.