SAS Visual Analytics and Google Cloud Datalab are competing in the data analytics and visualization category. Google Cloud Datalab seems to have the upper hand due to its integration with Google's cloud platform and cost-efficiency.
Features: SAS Visual Analytics is noted for its advanced statistical analysis capabilities, intuitive dashboard creation, and strong security features. Google Cloud Datalab offers seamless integration with Google Cloud services, flexible data exploration, and extensive machine learning tools.
Room for Improvement: SAS Visual Analytics could improve its cloud integration and cost-effectiveness. It might also benefit from enhancing scalability and flexibility in deployment. Google Cloud Datalab could add more robust customer support and address its limited AI configuration. Improving end-user data visualization without JSON limitations would be beneficial.
Ease of Deployment and Customer Service: SAS Visual Analytics provides a well-supported deployment process with comprehensive guidance, excelling in customer service. Google Cloud Datalab benefits from a flexible, cloud-based deployment with straightforward integration but lacks dedicated customer service, providing easier scalability.
Pricing and ROI: SAS Visual Analytics requires a higher setup cost, promising strong ROI with premium features suited for data-heavy industries. Google Cloud Datalab offers a cost-effective setup with scalable pricing, appealing to organizations seeking affordable entry points and reasonable ROI, leveraging Google’s ecosystem. The primary difference is SAS's higher initial investment versus Google Cloud Datalab’s scalable pricing model.
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.
SAS Visual Analytics is a data visualization tool that is used for reporting, data exploration, and analytics. The solution enables users - even those without advanced analytical skills - to understand and examine patterns, trends, and relationships in data. SAS Visual Analytics makes it easy to create and share reports and dashboards that monitor business performance. By using the solution, users can handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. SAS Visual Analytics is most suitable for larger companies with complex needs.
SAS Visual Analytics Features
SAS Visual Analytics has many valuable key features. Some of the most useful ones include:
SAS Visual Analytics Benefits
There are many benefits to implementing SAS Visual Analytics. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the SAS Visual Analytics solution.
A Senior Manager at a consultancy says, “The solution is very stable. The scalability is good. The usability is quite good. It's quite easy to learn and to progress with SAS from an end-user perspective.
PeerSpot user Robert H., Co-owner at Hecht und Heck GmbH, comments, “What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes.
Andrea D., Chief Technical Officer at Value Partners, explains, “The best feature is that SAS is not a single BI tool. Rather, it is part of an ecosystem of tools, such as tools that help a user to develop artificial intelligence, algorithms, and so on. SAS is an ecosystem. It's an ecosystem of products. We've found the product to be stable and reliable. The scalability is good.”
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.