Top SAS Visual Analytics Alternatives & Competitors For 2024

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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.

BusinessObjects Software Tool
SQL Server Software Tool

Product Basics

SAS Visual Analytics offers fast answers to complex questions drawn from datasets of all sizes. It provides guided exploration, interactive dashboards, smart visualizations and self-service analytics to users of all technical skill levels, promoting data literacy and visibility. Its versatile, scalable design helps users make better business decisions based on data transparency. Built on a cohesive in-memory architecture, it promotes intelligent action driven by insight.
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BusinessObjects is a suite of business intelligence (BI) tools that helps organizations collect, analyze, and visualize data to make better decisions. It's most suited for large enterprises with complex data needs, as it offers a wide range of features and capabilities. Key benefits include improved data visibility, enhanced decision-making, and increased productivity. Popular features include data modeling, reporting, ad hoc querying, and dashboards. User experiences highlight its ease of use, robust functionality, and scalability, though some note its potential for complexity and higher learning curve. Compared to similar products, BusinessObjects often stands out for its comprehensiveness and integration capabilities. Pricing is typically based on a per-user or per-named-user basis, with annual subscription fees.

Pros
  • Easy to use
  • Robust features
  • Scalable
  • Comprehensive
  • Integrates well
Cons
  • Can be complex
  • Steeper learning curve
  • Costly
  • May require training
  • Can be resource-intensive
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SQL Server, a relational database management system (RDBMS) from Microsoft, excels at storing, organizing, and retrieving large datasets. It's often a top choice for businesses running on Microsoft ecosystems due to its seamless integration with other Microsoft tools like Office and Power BI. Priced per core or server license, its cost can vary depending on the chosen edition and scale. While offering a free express edition for smaller deployments, its paid tiers cater to mission-critical applications and larger organizations. SQL Server shines in reliability, security, and performance, making it suitable for various data management needs. Its robust security features ensure data integrity, while its scalability allows handling massive datasets efficiently. Popular features include built-in reporting tools, disaster recovery options, and tight integration with development frameworks like .NET. However, setup and maintenance can be complex, requiring specialized skills. Additionally, some users cite limited cross-platform compatibility and a steeper learning curve compared to open-source alternatives. Overall, SQL Server offers a powerful and secure solution for organizations invested in the Microsoft ecosystem, especially those managing large-scale data and requiring robust features. However, its cost and complexity might deter smaller businesses or those seeking more flexible, cross-platform options.

Pros
  • Reliable performance
  • Strong security features
  • Integration with Microsoft tools
  • Scalable for large datasets
  • Extensive online resources
Cons
  • Can be expensive
  • Complex setup and maintenance
  • Vendor lock-in potential
  • Limited cross-platform support
  • Steeper learning curve
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Sisense is an end-to-end data analytics platform that makes data discovery and analytics accessible to customers and employees alike via an embeddable, scalable architecture. With a back-end powered by in-chip technology, it allows analysts to blend large datasets from a variety of sources into a single cohesive database for the entire company. On the front-end, users of all technical skill levels can craft visualizations, reports and dashboards to explore and share insights that drive businesses forward. Its AI-driven, cloud-native analytics offering, Fusion, embeds into business workspaces and empowers teams to view key metrics and data insights where they work.

Designed for companies of all sizes, it can be deployed on-premises, as a private cloud-hosted SaaS, as a fully managed SaaS or via a hybrid strategy. It is available via annual subscription pricing and offered in three packages: its main offering BI & Analytics Teams, its embedded analytics component Product Teams and code-driven cloud analytics through Cloud Data Teams.
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Wolfram Mathematica is a technical computing platform that can perform a wide range of computations and algorithms for mathematics and beyond. Primarily designed for research and academia, it enables users to create powerful scripts through a flexible, multi-purpose programming language. It allows users to analyze and visualize data in sophisticated ways and employ methods such as machine learning, data mining and deep learning to model and solve complicated problems.

It is available in the cloud through any web browser or installable on-premises on all desktop environments. Users can purchase licenses as individuals or under group or enterprise pricing for cloud, desktop or both versions.
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Product Assistance

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24/7 Live Support
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Product Ranking

#28

among all
Business Intelligence Tools

#14

among all
Business Intelligence Tools

#127

among all
Business Intelligence Tools

#11

among all
Business Intelligence Tools

#47

among all
Business Intelligence Tools

Find out who the leaders are

Analyst Rating Summary

82
we're gathering data
we're gathering data
80
we're gathering data
79
we're gathering data
we're gathering data
82
we're gathering data
64
we're gathering data
we're gathering data
49
we're gathering data
80
we're gathering data
we're gathering data
100
we're gathering data
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Availability and Scalability
Data Pre-processing
Data Transformation
Platform Compliance
Reporting
Availability and Scalability
Data Management
Data Pre-processing
Data Transformation
Data Visualization
Availability and Scalability
Data Management
Data Pre-processing
Data Transformation
Data Visualization
Availability and Scalability
Data Management
Data Pre-processing
Data Transformation
Integrations and Extensibility
Availability and Scalability
Data Management
Data Pre-processing
Data Transformation
Data Visualization

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

SAS Visual Analytics
BusinessObjects
SQL Server
Sisense
Mathematica
+ Add Product + Add Product
Advanced Analytics Augmented Analytics Data Management Data Pre-processing Data Transformation Data Visualization Embedded Analytics Capabilities Geospatial Visualizations and Analysis Mobile Capabilities Platform Capabilities Reporting 79 64 80 100 100 92 86 88 79 83 100 82 49 100 100 97 87 93 68 47 83 87 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Great User Sentiment 137 reviews
Great User Sentiment 1869 reviews
Great User Sentiment 7657 reviews
Great User Sentiment 1979 reviews
Excellent User Sentiment 305 reviews
83%
of users recommend this product

SAS Visual Analytics has a 'great' User Satisfaction Rating of 83% when considering 137 user reviews from 5 recognized software review sites.

81%
of users recommend this product

BusinessObjects has a 'great' User Satisfaction Rating of 81% when considering 1869 user reviews from 4 recognized software review sites.

89%
of users recommend this product

SQL Server has a 'great' User Satisfaction Rating of 89% when considering 7657 user reviews from 4 recognized software review sites.

88%
of users recommend this product

Sisense has a 'great' User Satisfaction Rating of 88% when considering 1979 user reviews from 5 recognized software review sites.

92%
of users recommend this product

Mathematica has a 'excellent' User Satisfaction Rating of 92% when considering 305 user reviews from 2 recognized software review sites.

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5.0 (22)
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3.8 (11)
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4.4 (2183)
4.3 (720)
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4.59 (152)
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4.5 (357)
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4.3 (10)
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Awards

Data Pre-processing Award
we're gathering data
we're gathering data
Data Pre-processing Award
User Favorite Award

Synopsis of User Ratings and Reviews

Data Analysis: Around 81% of users who reviewed its data analysis capabilities said that the tool offers out-of-the-box advanced analytics to identify patterns and relationships in business data.
Functionality: Citing its powerful in-memory technology, approximately 62% of users who reviewed functionality said that the solution provides a single, compact interface for data exploration and modeling for faster analytic computations.
Data Visualization: Around 60% of users who reviewed data visualization said that they can perform exploratory data analysis with a multitude of graphics options, such as bubble charts, line charts, dual axis charts.
Ease of Use: Approximately 54% of users who mentioned ease of using the software said that it is easy to generate reports with some basic SQL knowledge.
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Ease of Use: It is a straightforward and easy to use platform, as noted by over 65% of reviewers who mention ease of use.
Flexible Reporting: Around 84% of the reviewers who specify reporting state that it offers a flexible reporting feature to fit individual needs.
Integration: It enables integration with SAP products and third-party software, as observed by 89% of the users referring to integration.
Customization: It provides highly customizable tools and options, as noted by 88% of reviewers who specify customization.
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Reliability and Performance: Users consistently praise SQL Server's stability, speed, and ability to handle large, complex workloads with minimal downtime.
Security: SQL Server offers robust security features, including multi-layered encryption, access controls, and active threat detection, to safeguard sensitive data.
Scalability: Users appreciate the ability to easily scale SQL Server to meet evolving data needs without compromising performance or incurring significant costs.
Integration with Microsoft Ecosystem: Seamless integration with other Microsoft tools and services, such as Azure cloud services and Power BI, enhances productivity and data management capabilities.
Comprehensive Tools and Features: SQL Server provides a rich set of tools for database administration, development, and analysis, including SSMS, SQL Server Data Tools (SSDT), and SQL Server Reporting Services (SSRS).
Strong Community and Support: Users benefit from a large, active community of SQL Server professionals and extensive resources from Microsoft, including documentation, tutorials, and forums.
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Customer Service and Support : More than 92% of users mentioning customer support said that responses to their queries were prompt and informative, and that there’s good access to online user communities.
Data Integration: Approximately 92% of users who mention data source integrations express satisfaction with its ability to import, blend and streamline data from multiple sources into a cohesive database.
Data Visualization: Citing stunning dashboards with a range of visually powerful visual tools like widgets, graphs and scattergrams, 85% of users who mention data visualization say it’s a strong feature of Sisense.
Ease of Use: More than 93% of users mentioning the platform’s ease of use praise it as user-friendly, citing self-service BI features such as interactive dashboards and data visualizations.
Cost: Among users who comment on its pricing, more than 85% said that Sisense offers great value for its cost, with some reviews coming from long-time customers.
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Symbolic Computation: Mathematica excels at handling and manipulating symbolic expressions, making it ideal for tasks that involve algebra, calculus, and other forms of mathematical analysis. This can be particularly useful for financial modeling, risk analysis, and other business intelligence applications that require complex calculations.
Visualization Capabilities: Mathematica offers a wide range of visualization tools that can be used to create high-quality charts, graphs, and other visual representations of data. These visualizations can be interactive, allowing users to explore data from different perspectives and gain deeper insights. This is essential for effectively communicating complex data to stakeholders in a business setting.
Automation and Scripting: Mathematica allows users to automate tasks and create scripts, which can save time and improve efficiency. This can be particularly useful for repetitive tasks, such as data cleaning and analysis. Automating these tasks can free up time for business intelligence professionals to focus on more strategic initiatives.
Machine Learning and AI: Mathematica includes a wide range of machine learning and artificial intelligence (AI) tools that can be used for tasks such as predictive modeling, classification, and anomaly detection. These capabilities are becoming increasingly important for business intelligence, as they can help organizations to identify trends, make better decisions, and gain a competitive advantage.
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Cost: Around 80% of users who discussed the platform’s cost said that they find the pricing to be cost-prohibitive.
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Learning Curve: It involves a steep learning curve for beginners, as stated by 80% of the users mentioning the learning curve.
Implementation: Over 80% of reviewers who discussed implementation report that the process is cumbersome.
Pop-ups: Error messages and pop-ups are technical and hard to decipher, as observed by 100% of reviewers who refer to pop-ups.
Performance: Around 86% of the users who specify performance report that it becomes slow and crashes at times when multiple prompts are opening.
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Licensing Cost: Can be expensive for large deployments, especially with Enterprise editions and complex licensing requirements.
Complexity: Managing and maintaining SQL Server, particularly in large environments, can require specialized skills and expertise.
Limited Cloud Flexibility: While Azure SQL Managed Instance offers managed cloud services, on-premises deployments might require additional effort for cloud migration and management.
Vendor Lock-in: Switching from SQL Server to other database systems can be complex due to its proprietary nature and T-SQL language.
Performance Overhead: Complex queries or large datasets can strain resource usage, potentially impacting performance, especially on less powerful hardware.
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Data Preparation and Modeling: About 50% of users who mentioned data modeling say that it is not as intuitive for non-technical staff, requiring strong IT support.
Training: More than 60% of users who write about learning how to use the platform say that with frequent new releases, a lack of sufficient documentation, coupled with the difficulty of using a programming language make this a tricky tool to master.
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Price: Mathematica comes with a hefty price tag, especially for commercial use, which can be a significant barrier for individuals or small businesses.
Learning Curve: The software has a steep learning curve due to its vast functionality and unique syntax, requiring a significant time investment to master.
Closed Ecosystem: Mathematica operates within a closed ecosystem, making it challenging to integrate with other data analysis tools or programming languages commonly used in business intelligence.
Limited Collaboration: Collaboration features are not as robust as those found in other business intelligence platforms, hindering teamwork and knowledge sharing.
Visualization Capabilities: While Mathematica offers visualization tools, they may not be as intuitive or user-friendly as dedicated data visualization software, potentially limiting the ability to create compelling and insightful dashboards.
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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.

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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.

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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.

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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!

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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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