Best Data Analysis Software for Alteryx

Find and compare the best Data Analysis software for Alteryx in 2025

Use the comparison tool below to compare the top Data Analysis software for Alteryx on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    IBM SPSS Statistics Reviews
    Top Pick
    IBM® SPSS® Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making. The IBM® SPSS® software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make SPSS accessible to users of all skill levels. What’s more, it’s suitable for projects of all sizes and levels of complexity, and can help you find new opportunities, improve efficiency and minimize risk.
  • 2
    Tableau Reviews
    Top Pick
    Tableau, a comprehensive business intelligence (BI/analytics) solution, allows you to generate, analyze, and interpret business data. Tableau allows users to gather data from many sources, including spreadsheets, SQL databases and Salesforce. Tableau offers real-time visual analytics as well as an interactive dashboard that allows users to slice and dice data to make relevant insights and find new opportunities. Tableau allows users to customize the platform for different industry verticals such as communication, banking, and more.
  • 3
    Toucan Reviews
    Toucan, a customer-facing platform for analytics, empowers organizations to drive engagement and provide the best possible end-user experience. Toucan makes it simple, from data connections to the distribution and sharing of insights wherever they are needed. Toucan analytics are 3x more popular than the industry average. With hundreds of connectors, users can connect to any cloud-based or stored data. Data readiness features make data preparation easy for business people. They can perform tasks that would normally require an expert. Visualization can be described as "data storytelling", where every chart is accompanied with context, collaboration and annotation to help users understand the "why" behind their data. Finally, deployment and management are easy with one-touch deployment, from staging to production, easy embedding and publishing to any device.
  • 4
    Databricks Data Intelligence Platform Reviews
    The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question.
  • 5
    Teradata Vantage Reviews
    Businesses struggle to find answers as data volumes increase faster than ever. Teradata Vantage™, solves this problem. Vantage uses 100 per cent of the data available to uncover real-time intelligence at scale. This is the new era in Pervasive Data Intelligence. All data across the organization is available in one place. You can access it whenever you need it using preferred languages and tools. Start small and scale up compute or storage to areas that have an impact on modern architecture. Vantage unifies analytics and data lakes in the cloud to enable business intelligence. Data is growing. Business intelligence is becoming more important. Four key issues that can lead to frustration when using existing data analysis platforms include: Lack of the right tools and supportive environment required to achieve quality results. Organizations don't allow or give proper access to the tools they need. It is difficult to prepare data.
  • 6
    Alteryx Designer Reviews
    Drag-and-drop and generative AI tools enable analysts to prepare and blend data up 100 times faster than traditional solutions. Self-service analytics platform gives analysts the power to remove costly bottlenecks and empowers them. Alteryx Designer, a self-service analytics platform, empowers analysts by allowing them to prepare data, blend it, and analyze it using intuitive drag-and-drop tools. The platform integrates with over 80 data sources and supports 300 automation tools. Alteryx Designer, with its focus on low-code/no-code capabilities, allows users to create analytic workflows easily, accelerate analytics processes using generative AI and generate insights, without needing to have advanced programming skills. It is also highly versatile, allowing the output of results into over 70 different tools. It is designed to be efficient, allowing businesses to speed up the preparation and analysis of data.
  • 7
    Apache Spark Reviews

    Apache Spark

    Apache Software Foundation

    Apache Spark™, a unified analytics engine that can handle large-scale data processing, is available. Apache Spark delivers high performance for streaming and batch data. It uses a state of the art DAG scheduler, query optimizer, as well as a physical execution engine. Spark has over 80 high-level operators, making it easy to create parallel apps. You can also use it interactively via the Scala, Python and R SQL shells. Spark powers a number of libraries, including SQL and DataFrames and MLlib for machine-learning, GraphX and Spark Streaming. These libraries can be combined seamlessly in one application. Spark can run on Hadoop, Apache Mesos and Kubernetes. It can also be used standalone or in the cloud. It can access a variety of data sources. Spark can be run in standalone cluster mode on EC2, Hadoop YARN and Mesos. Access data in HDFS and Alluxio.
  • 8
    DigDash Reviews
    Your business generates many data every day. This data can be invaluable if it is used correctly. This strategic information, when gathered together, opens up a vast array of possibilities. DigDash is a trusted partner in business intelligence. We can help you to exploit your data and improve your performance today. DigDash is there for you, from design to deployment, and all questions to development, in a close partnership. DigDash's DNA is flexible. We are committed to continuous improvement. Our software is easy to use at all levels. This software is a market leader. Our tool adapts to any business' operational vision. Your managers can make rational decisions by having real-time visibility of all your activities, including marketing, finance, sales, and HR.
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