Best Big Data Platforms for .NET

Find and compare the best Big Data platforms for .NET in 2026

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

  • 1
    List & Label Reviews
    List & Label is a reporting component used by software developers to add report generation, print, preview and export functionalities to web, cloud and desktop applications. Built for development environments including .NET 8/9/10, .NET Framework 4.x, C#, C/C++, Delphi/VCL and ASP.NET Core MVC, it connects applications to a wide range of data sources. Developers can use it to implement flexible workflows for creating, generating and distributing reports. The WYSIWYG Report Designer allows both developers and end users to build and modify report templates using data from databases or other sources, and to prepare that content for output as print, preview or export. In web projects, teams can use the browser-based Web Report Designer for ASP.NET MVC to create report templates directly online. This adds flexibility and reduces reliance on local design tools. List & Label Cross Platform supports modern cross-platform .NET applications by enabling report generation on Windows, Linux, macOS, iOS and Android without native dependencies.
  • 2
    DataWorks Reviews
    DataWorks, a comprehensive Big Data platform introduced by Alibaba Cloud, offers an all-in-one solution for Big Data development, management of data permissions, offline job scheduling, and more. The platform is designed to function seamlessly right from the start, eliminating the need for users to manage complex underlying clusters and operations. Users can effortlessly build workflows through a drag-and-drop interface, while also having the ability to edit and debug their code in real-time, inviting collaboration from fellow developers. The platform supports a wide range of functionalities, including data integration, MaxCompute SQL, MaxCompute MR, machine learning, and shell tasks. Additionally, it features robust task monitoring capabilities, providing alerts in case of errors to prevent service disruptions. With the ability to run millions of tasks simultaneously, DataWorks accommodates various scheduling options, including hourly, daily, weekly, and monthly tasks. As an exceptional platform for constructing big data warehouses, DataWorks delivers extensive data warehousing services, catering to all aspects of data aggregation, processing, governance, and services. Its user-friendly design and powerful features make it an indispensable tool for organizations looking to harness the power of Big Data effectively.
  • Previous
  • You're on page 1
  • Next