Compare the Top Data Visualization Software for Mac as of October 2025

What is Data Visualization Software for Mac?

Data visualization software helps converting numeric and textual data into visual tools and performance dashboards in order to identify and analyze possible patterns. Compare and read user reviews of the best Data Visualization software for Mac currently available using the table below. This list is updated regularly.

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    Arria NLG Studio
    Arria NLG Studio is an Artificial Intelligence (AI) solution developed by Arria NLG for use by companies both in the enterprise market as well as small and medium size businesses. The Arria NLG Studio platform empowers companies to replicate the human process of expertly analyzing and communicating data insights in language humans can quickly understand. Arria’s software is used to generate insights in language such as financial analysists, spotting trends, identifying problems, and forecasting what's likely to happen next. Using Arria's patented NLG technology, the Company has created mulitiple SaaS-based solutions which provide industry specific reports with relevant details, in seconds. This is the next-generation of business intelligence and data reporting platforms. Arria NLG Studio offers API access and can be easily integrated with any software platform.
  • 2
    OpenText Magellan
    Machine Learning and Predictive Analytics Platform. Augment data-driven decision making and accelerate business with advanced artificial intelligence in a pre-built machine learning and big data analytics platform. OpenText Magellan uses AI technologies to provide predictive analytics in easy to consume and flexible data visualizations that maximize the value of business intelligence. Artificial intelligence software eliminates the need for manual big data processing by presenting valuable business insights in a way that is accessible and related to the most critical objectives of the organization. By augmenting business processes through a curated mix of capabilities, including predictive modeling, data discovery tools, data mining techniques, IoT data analytics and more, organizations can use their data to improve decision making based on real business intelligence and analytics.
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