Best Business Intelligence Software for GraphQL

Find and compare the best Business Intelligence software for GraphQL in 2025

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

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    Wyn Enterprise Reviews
    Wyn is a seamless embedded business intelligence platform. Designed for self-service BI, Wyn's offers limitless visual data exploration, allowing the everyday user to become data-driven. Wyn Enterprise Features: • Embedded BI Seamlessly embed analytics within your own applications. Integrate dashboards into your business applications with API and iFrame capabilities. • End-user BI Reports Leverage Wyn's powerful and fast reporting engine to develop complex BI reports. • Interactive BI Dashboards Analyze data and deliver actionable information with interactive dashboards, multi-dimensional dynamic analysis, and intelligent drilling. • Easy-to-use Designers Drag-and-drop controls enable non-technical end-users to visualize, analyze, and distribute permitted data easily. • Self-service BI Eliminate your dependence on the IT departments and data analysts. Offer every end-user (from code-first to code-free) the ability to create custom ad hoc reports and interactive dashboards. • Built-in Multi-tenant Support Enhance your SaaS-based business applications with a BI platform that natively supports multi-tenancy. Manage your BI resources and data across all your customers from a single environment.
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    Salesforce Data Cloud Reviews
    Salesforce Data Cloud serves as a real-time data platform aimed at consolidating and overseeing customer information from diverse sources within a business, facilitating a unified and thorough perspective of each client. This platform empowers organizations to gather, synchronize, and evaluate data in real time, thereby creating a complete 360-degree customer profile that can be utilized across various Salesforce applications, including Marketing Cloud, Sales Cloud, and Service Cloud. By merging data from both online and offline avenues, such as CRM data, transactional records, and external data sources, it fosters quicker and more personalized interactions with customers. Additionally, Salesforce Data Cloud is equipped with sophisticated AI tools and analytical features, enabling businesses to derive deeper insights into customer behavior and forecast future requirements. By centralizing and refining data for practical application, it enhances customer experiences, allows for targeted marketing efforts, and promotes effective, data-driven decisions throughout different departments. Ultimately, Salesforce Data Cloud not only streamlines data management but also plays a crucial role in helping organizations stay competitive in a rapidly evolving marketplace.
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