Best Business Intelligence Software for Plotly Dash

Compare the Top Business Intelligence Software that integrates with Plotly Dash as of July 2026

This a list of Business Intelligence software that integrates with Plotly Dash. Use the filters on the left to add additional filters for products that have integrations with Plotly Dash. View the products that work with Plotly Dash in the table below.

What is Business Intelligence Software for Plotly Dash?

Business intelligence software is software designed to collect and analyze large amounts of data from various sources. The software provides users with the ability to access current and historical data in order to track performance trends and make informed decisions. Business intelligence solutions vary in complexity, ranging from simple reporting tools to comprehensive analytics suites that provide advanced forecasting capabilities. Compare and read user reviews of the best Business Intelligence software for Plotly Dash currently available using the table below. This list is updated regularly.

  • 1
    MATLAB

    MATLAB

    The MathWorks

    MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work. Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques. Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC. MATLAB works with Simulink to support Model-Based Design.
  • 2
    Tableau

    Tableau

    Salesforce

    Tableau, now enhanced with AI-powered capabilities and integrated with Salesforce, is an advanced analytics platform that helps businesses turn data into actionable insights. With Tableau Next, users can unlock the full potential of their data by accessing trusted AI-driven analytics. Whether deployed in the cloud, on-premises, or natively within Salesforce CRM, Tableau enables seamless data integration, powerful visualizations, and collaboration. The platform is designed to support organizations of all sizes in making data-driven decisions, while fostering a Data Culture through easy-to-use, intuitive tools for analysts, business leaders, IT leaders, and developers alike.
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    Starting Price: $75/user/month
  • 3
    Spotfire

    Spotfire

    Cloud Software Group

    Spotfire is the most complete analytics solution on the market, enabling everyone to explore and visualize new discoveries in data through immersive dashboards and advanced analytics. Spotfire analytics delivers capabilities at scale, including predictive analytics, geolocation analytics, and streaming analytics. And with Spotfire Mods, you can build tailored analytic apps rapidly, repeatedly, and to scale. With the Spotfire analytics platform you get a seamless, single-pane-of-glass experience for visual analytics, data discovery, and point-and-click insights. Immerse yourself in both historic and real-time data, interactively. Drill down or across multi-layer, disparate data sources with fully brush-linked, responsive visualizations. Imagine, then rapidly build, scalable tailored analytics apps using the Spotfire Mods framework, to get all the power of Spotfire software in your own fit-for-purpose analytics apps.
    Starting Price: $25 per month
  • 4
    Zepl

    Zepl

    Zepl

    Sync, search and manage all the work across your data science team. Zepl’s powerful search lets you discover and reuse models and code. Use Zepl’s enterprise collaboration platform to query data from Snowflake, Athena or Redshift and build your models in Python. Use pivoting and dynamic forms for enhanced interactions with your data using heatmap, radar, and Sankey charts. Zepl creates a new container every time you run your notebook, providing you with the same image each time you run your models. Invite team members to join a shared space and work together in real time or simply leave their comments on a notebook. Use fine-grained access controls to share your work. Allow others have read, edit, and run access as well as enable collaboration and distribution. All notebooks are auto-saved and versioned. You can name, manage and roll back all versions through an easy-to-use interface, and export seamlessly into Github.
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