Our analysts compared Alteryx vs SigmaPlot based on data from our 400+ point analysis of Big Data Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.
Analyst Rating
User Sentiment
SigmaPlot is a sophisticated software designed for advanced data analysis and scientific graphing, particularly excelling in Big Data Analytics. It is tailored for researchers, scientists, and engineers who require precise and detailed data visualization and statistical analysis. The software's ability to handle large datasets efficiently makes it invaluable for these professionals, enabling them to derive meaningful insights from complex data.
One of the key benefits of SigmaPlot is its extensive range of graphing options, which includes 2D and 3D plots, contour plots, and histograms. Users appreciate its intuitive interface and the high degree of customization available for graphs and charts. Additionally, SigmaPlot offers robust statistical analysis tools, which are essential for validating research findings and making data-driven decisions.
Compared to similar products, SigmaPlot is often praised for its user-friendly design and powerful analytical capabilities. Pricing typically falls within a mid-range bracket, with options for single-user licenses and annual subscriptions, making it accessible for both individual researchers and larger institutions.
among all Big Data Analytics Tools
Alteryx has a 'excellent' User Satisfaction Rating of 90% when considering 496 user reviews from 4 recognized software review sites.
SigmaPlot has a 'excellent' User Satisfaction Rating of 90% when considering 25 user reviews from 1 recognized software review sites.
SelectHub research analysts have evaluated Alteryx and concluded it earns best-in-class honors for Integrations and Extensibility. Alteryx stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.
SigmaPlot stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.
Alteryx is a data science solution that leverages the power of AI and ML to blend, parse, transform and visualize big business data to promote self-serve analysis of business metrics. Many users who reviewed data analysis said that the tool performs statistical, spatial and predictive analysis in the same workflow. Most of the users who reviewed data processing said that, with a lightweight ETL tool, the platform has strong data manipulation and modeling efficiencies, though some users said that it can be tricky to use SQL queries. Citing integration with Power BI, Tableau and Python, most of the users said that the tool connects seamlessly to data from databases and files, apps, and third-party data sources, among others, to expand the reach of search-based and AI-driven analytics. Most of the users who discussed ease of use said that the tool is intuitive with drag-and-drop functionality and a well-designed interface, though some users said error handling can be challenging for automated workflows. Most of the users who reviewed support said that online communities are helpful in providing answers to queries. Citing automated workflows, many users said that the tool helps save time, though some users said that these can be overly complex and need improvement. On the flip side, many users who reviewed pricing said that its expensive licenses and add-ons are cost-prohibitive, and cost per core is high for enterprises looking to scale. A majority of users who reviewed its visualization capabilities said that they need to export data to visually stronger applications, such as Tableau or Power BI, to make the reports presentation-worthy. Citing slow runtimes when executing complex workflows, especially with large datasets, many users said that performance-wise, the solution is prone to infrequent crashes. Most of the users who discussed learning said that with documentation not being in sync with latest releases, training is a must to optimally use the tool. Overall, Alteryx is a data science tool that, with its low-code approach and strong data wrangling capabilities, makes the journey from data acquisition to data insights seamless and promotes data literacy across organizations, though it might be better suited for medium- to large-sized organizations.
Is SigmaPlot the real deal or just a bunch of hot air? SigmaPlot is a popular choice for creating high-quality graphs and reports, especially for those working in scientific fields. Users praise its ease of use and wide range of graphing options, making it a breeze to create professional-looking visuals. The software's ability to integrate with Microsoft Office is a major plus, allowing users to easily access data from Excel spreadsheets and present results in PowerPoint presentations. However, some users have noted that SigmaPlot can be resource-intensive, requiring a powerful computer to run smoothly. This can be a drawback for users with older or less powerful machines. SigmaPlot's strengths lie in its ability to create visually appealing and customizable graphs. Users can choose from a wide variety of graph types, including 2D and 3D options, and customize every detail of their charts. This makes it ideal for creating publication-ready graphs that can be easily shared and understood. The software also offers powerful statistical analysis tools, allowing users to explore their data in depth and draw meaningful conclusions. SigmaPlot is best suited for researchers, scientists, and anyone who needs to create high-quality graphs and reports for presentations, publications, or other professional purposes. Its ease of use, wide range of features, and integration with Microsoft Office make it a valuable tool for anyone working with data. However, users with limited computing resources may want to consider other options.
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