Looking for alternatives to SAS Visual Analytics? Many users crave user-friendly and feature-rich solutions for tasks like Data Management, Reporting, and Data Transformation. Leveraging crowdsourced data from over 1,000 real Business Intelligence Tools selection projects based on 400+ capabilities, we present a comparison of SAS Visual Analytics to leading industry alternatives like BusinessObjects, SQL Server, Sisense, and Mathematica.
Analyst Rating
User Sentiment
among all Business Intelligence Tools
SAS Visual Analytics has a 'great' User Satisfaction Rating of 83% when considering 137 user reviews from 5 recognized software review sites.
BusinessObjects has a 'great' User Satisfaction Rating of 81% when considering 1869 user reviews from 4 recognized software review sites.
SQL Server has a 'great' User Satisfaction Rating of 89% when considering 7657 user reviews from 4 recognized software review sites.
Sisense has a 'great' User Satisfaction Rating of 88% when considering 1979 user reviews from 5 recognized software review sites.
Mathematica has a 'excellent' User Satisfaction Rating of 92% when considering 305 user reviews from 2 recognized software review sites.
SAS Analytics is a versatile business intelligence and analytics tool that empowers users to explore and understand data through interactive data visualizations. Many users who reviewed data analysis said that, coupled with the power of predictive analytics, the platform offers a plethora of graphics options — charts, graphs and dashboards — with deep-dive capabilities, such as filtering, to zero in on pertinent business data. Many users who reviewed functionality and data preparation said that, possibly because of its capable ETL engine and in-memory architecture, data processing speed is very high and reports load faster. A majority of users who reviewed data connectivity said that the tool is efficient in pulling data from multiple sources for data modeling and analysis. On the flip side, quite a few users who reviewed functionality said that the platform’s integration with Python and R is still in the development stage and this limits its functional scope. Some users who discussed user-friendliness said that the processes are not the most intuitive — errors and warnings in logs are misleading, and new users may find adoption difficult. Though the industry scope of user tutorials is limited, a majority of users said that the steep learning curve of the platform is sufficiently addressed by training. For many users, its cost-prohibitive licensing plans caused them to not consider it their first choice when it came to purchasing a BI solution. Overall, SAS Visual Analytics is a versatile tool with fast data processing capabilities and strong visualizations to generate reports for insightful data analysis.
User reviews for BusinessObjects paint a picture of a powerful BI tool with both strengths and weaknesses. On the positive side, users praise its comprehensive features, enabling them to tackle complex data challenges. "It's like a Swiss Army knife for data analysis," one user says, "from basic reports to advanced modeling, it's got it all." This feature depth is often contrasted with simpler competitors, with users appreciating the ability to handle diverse needs without needing multiple tools. However, the learning curve can be steep, especially for non-technical users. "It's not exactly drag-and-drop for beginners," another user admits. This complexity can lead to frustration and require investment in training, which some users find less intuitive compared to competitors. Despite the learning hurdle, many users highlight BusinessObjects' scalability and integration capabilities as its main differentiators. "It seamlessly connects with our existing systems," one user notes, "saving us time and effort." This smooth integration is often lacking in competitors, making BusinessObjects a preferred choice for organizations with complex data ecosystems. Overall, user reviews suggest BusinessObjects is a powerful and versatile BI tool best suited for organizations with complex data needs and the resources to support its learning curve. Its comprehensive features and integration capabilities set it apart, making it a strong contender for those seeking a robust BI solution despite the initial investment required.
SQL Server continues to be a popular choice for database management, with user reviews highlighting both its strengths and weaknesses. Reliability and performance remain key selling points. Users praise its stability, speed, and ability to handle demanding workloads, making it a trusted choice for mission-critical applications. However, licensing costs can be a significant barrier, especially for larger deployments compared to open-source alternatives like PostgreSQL. Security is another forte, with users appreciating its multi-layered approach to protecting sensitive data. However, its complexity can be daunting, requiring specialized skills for administration and maintenance, particularly in larger environments. While Azure SQL Managed Instance offers managed cloud services, some users find on-premises deployments less flexible for cloud migration. Users acknowledge its rich set of tools and features, including SSMS, SSDT, and SSRS, for efficient database management, development, and analysis. Yet, they recognize vendor lock-in as a potential drawback, as switching to other systems can be challenging due to its proprietary nature and T-SQL language. Overall, SQL Server's reliability, performance, and security are highly valued. However, its cost, complexity, and limited cloud flexibility are common concerns. Users compare it favorably to PostgreSQL for affordability and open-source nature, while acknowledging its less mature feature set. Oracle Database is seen as a competitor for large-scale enterprise deployments, but users note its even higher cost and complexity. Ultimately, the choice comes down to specific needs and priorities. For users prioritizing reliability, security, and integration with the Microsoft ecosystem, SQL Server remains a compelling option. However, those seeking flexibility, lower costs, or open-source options might find PostgreSQL or other alternatives more attractive.
Users appreciate how Sisense creates large datasets from constantly evolving data sources to be seamlessly streamlined into actionable data, and presented easily in the form of graphs, bar and pie charts, scattergrams, line graphs, interactive maps and many more visualization types. Regarding customer support, users praise their prompt and informative responses - from implementation to handling subsequent queries — as high quality customer service that comes neatly packaged with pricing plans. Users mention that the implementation of this solution, though easy for basic setup, can be quite demanding in terms of scripting and configuration setup, especially for advanced analytics. Non-technical users might find it challenging to set up the data objects - ElastiCubes - without strong IT support. On the front-end, dashboard customization and formatting of visualizations can be tricky as these require basic knowledge of CSS, Javascript and development. Though a large number of users find this solution to be cost-effective, smaller businesses and startups that only need a limited number of licenses might find it expensive. Overall, Sisense is a strong BI solution with strong data capabilities, and its drill-down functionality empowers users to glean insightful and actionable analytics that drive business strategy by aiding in decision-making processes. To maximize its potential, businesses may require strong IT support for implementation and formatting of visualizations. It is certainly worth considering for enterprise BI needs, if the price is right!
Let's crunch some numbers and see what users have to say about Mathematica! Mathematica has garnered a reputation as a powerful computational tool, particularly in academic and research settings. Users frequently praise its symbolic computation capabilities, allowing them to manipulate and solve complex mathematical expressions and equations with ease. This strength sets Mathematica apart from competitors like MATLAB, which primarily focuses on numerical computation. Mathematica's notebook interface also receives positive feedback for its ability to combine code, visualizations, and text in a single document, facilitating reproducible research and clear communication of findings. However, Mathematica's steep learning curve and high price point are often cited as drawbacks. Users transitioning from other programming languages may find Mathematica's syntax and functional programming paradigm challenging to grasp initially. Additionally, the cost of a Mathematica license can be prohibitive for individual users or small businesses. Overall, Mathematica is best suited for researchers, scientists, and engineers who require a comprehensive tool for symbolic and numerical computation, data analysis, and visualization. Its extensive functionality and ability to handle complex mathematical problems make it an invaluable asset in these fields. However, individuals or organizations with limited budgets or those seeking a more user-friendly option may want to explore alternative software solutions. Keep in mind that software is constantly evolving, so it's always a good idea to check for the latest updates and user reviews to make an informed decision.
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