We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"All of the features of this product are quite good."
"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"The product is easily customized."
"The interface should be more user-friendly."
"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"The interfaces could be improved and some in-memory operations could be built in."
"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
Earn 20 points
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.
Oracle Analytics Cloud (OAC) is a single strategic platform that meets your needs for speed and scale at the same time it accommodates your users and their requirements. It fits into your environment, helping you do as much of your analysis as possible in the cloud, at the same time it offers easy access to any source so you make the best use of all your data no matter where it is. It provides a variety of options for intelligent analysis without being overwhelming to deploy and manage, making it an effective way to engage more people in analysis and extend your organization's expertise. A complete, connected, and collaborative choice, Oracle Analytics Cloud makes it easy for you to capitalize on cloud analytics today and in the future.
Google Cloud Datalab is ranked 9th in Data Visualization with 1 review while Oracle Analytics Cloud is ranked 5th in Data Visualization with 4 reviews. Google Cloud Datalab is rated 8.0, while Oracle Analytics Cloud is rated 8.2. The top reviewer of Google Cloud Datalab writes "Stable, feature-rich, and easy to set up". On the other hand, the top reviewer of Oracle Analytics Cloud writes "Complete product with excellent stability and scalability with no downtime". Google Cloud Datalab is most compared with Databricks, IBM Watson Studio, Microsoft Azure Machine Learning Studio, Cloudera Data Science Workbench and MathWorks Matlab, whereas Oracle Analytics Cloud is most compared with Oracle OBIEE, Microsoft BI, Tableau, SAP Analytics Cloud and Oracle Business Intelligence Cloud Service.
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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.