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.
Underpinning the SuperSTAR solution set is the SuperSTAR platform, comprising SuperSERVER and SuperCHANNEL, which provides a common platform and database format for all clients. With consistent privacy protection and access control, integrated metadata and fast tabulations across microdata, SuperSERVER powers organisations to better, faster and more secure analysis of their data.
When a superior data load tool is needed, SuperCHANNEL offers key advantages. With branched hierarchy capabilities, survey support and the ability to read from the most popular database formats, SuperCHANNEL is a powerful element in managing your data throughout its lifecycle.
With the SuperSTAR Platform, you are able to transform your data into the proprietary SuperSTAR databases, with their unparalleled capabilities for analysis and dissemination.
Google Cloud Datalab is ranked 9th in Data Visualization with 1 review while Space Time Research SuperSTAR is ranked 52nd in Data Visualization. Google Cloud Datalab is rated 8.0, while Space Time Research SuperSTAR 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 Space Time Research SuperSTAR is most compared with .
See our list of best Data Visualization vendors.
We monitor all Data Visualization 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.