SAS Visual Analytics and Apache Superset compete in the data analytics and visualization market. Apache Superset appears to have the upper hand due to its ease of use and cost-effectiveness, making it a preferred choice for smaller businesses and less technical users.
Features: SAS Visual Analytics provides comprehensive tools for data analysis, robust forecasting, predictive modeling features, and supports large-scale data integration projects, making it suitable for sophisticated statistical analyses. Apache Superset is known for its intuitive configuration, interactive dashboards, and quick data visualization, allowing users with minimal technical expertise to efficiently reuse KPIs across multiple reports.
Room for Improvement: SAS Visual Analytics faces criticism for its high cost, complex installation process, and performance issues with large datasets. Users also seek enhanced visualization and data store integration. Apache Superset needs improvement in interactivity and engagement features within dashboards, alongside resolving difficulties with permissions to improve user experience.
Ease of Deployment and Customer Service: SAS Visual Analytics primarily offers on-premises deployment, limiting scalability compared to other solutions, with mixed reviews on customer support effectiveness. Apache Superset offers flexibility in cloud and on-premises deployments but receives varied feedback on customer and technical support, indicating room for improvement in user satisfaction.
Pricing and ROI: SAS Visual Analytics is considered expensive, with additional purchases required for full capabilities, negatively affecting ROI despite its powerful analytics features. Apache Superset, as an open-source model, reduces licensing and operational costs, offering a budget-friendly solution with a potential high ROI, appealing to organizations focusing on cost efficiency.
| Product | Market Share (%) |
|---|---|
| Apache Superset | 5.5% |
| SAS Visual Analytics | 2.1% |
| Other | 92.4% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 19 |
Apache Superset provides seamless integration for data visualization and dashboard creation without the need for developer assistance. Its intuitive, no-code environment supports users to embed, query, and share data insights efficiently.
Apache Superset offers a robust platform for data visualization through easy dashboard configuration and data integration. It facilitates query writing and reuses KPIs to ensure data consistency across dashboards. Users can embed dashboards within applications effortlessly and leverage a wide range of chart options for sophisticated data representation. The self-service nature empowers teams to maintain data integrity and optimize processes swiftly. However, it seeks enhancement in documentation and dynamic dashboard navigation, with a need for more interactive features to rival industry-leading tools. Permissions management and interactivity need enhancement, especially in larger user environments.
What are the key features of Apache Superset?Industries utilize Apache Superset to create and integrate dashboards for data analysis and visualization. It is widely used in genomics to analyze data, monitor service performance in telecom, and manage metrics and KPIs. Companies leverage its capabilities for profitability insights, agent productivity assessments, and historical data trend analysis.
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.
