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.
Data is the most abundant and precious resource in an enterprise. It comes in all forms and is complex to merge, relate and analyze. Data analytics extract meaning from that data for business gain or productivity, often sharing those insights through analytics dashboards or analytics reports.
With organizations generating billions of terabytes of data a year, big data analytics techniques are the only way to understand and uncover value from today’s scale of data.
The best big data analytics tools must be able to process both structured and unstructured data such as text, documents, emails and other data stored in enterprise information management systems. They go further than reporting on historic performance, enabling companies to prescribe better actions through predictive analytics. These data analysis tools are often referred to as advanced analytics solutions, such as OpenText™ Magellan Analytics Suite, and are quickly becoming the preferred choice for enterprise analytics.
Google Cloud Datalab is ranked 9th in Data Visualization with 1 review while OpenText Magellan BI & Reporting is ranked 27th in Data Visualization. Google Cloud Datalab is rated 8.0, while OpenText Magellan BI & Reporting 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 OpenText Magellan BI & Reporting is most compared with Tableau, Splunk, Qlik Sense, ELK Kibana and TIBCO Jaspersoft.
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.