Microsoft Corporation has unveiled an all-encompassing pricing approach for its cloud data and analytics platform, Microsoft Fabric. The new product line offers a unified pricing model for management, storage, and computing costs associated with the platform, along with new value-added services. This product launch is the company’s latest tactic to challenge market leaders Amazon and Google in this space.

Microsoft Fabric’s new pricing structure allows users to pay for a full suite of functionality instead of individual products. This approach is designed to reduce managing and budgeting complexity for customers who need to harness and manage vast amounts of data and analytics. For example, customers can acquire batches of compute, storage, and development time under a single contract.

The pricing model also encompasses value-added services such as data transfer, data integration, and analytics. Microsoft is making available its automated data transfer services to Azure, including the ability to move large volumes of on-premises data to Azure SQL Data Warehouse and Azure Data Lake Storage. The platform also provides customers with the ability to seamlessly connect disparate sources of data for advanced analytics capabilities, such as Apache Spark, Stream Analytics, and Azure SQL Data Warehouse.

The launch of Microsoft Fabric signals an effort to better compete with the market leaders in this space. Microsoft is using its single pricing approach to reduce customer complexity, streamline processes, and gain competitive advantages in this growing market. With this move, the company is now in a stronger position to engage customers that are increasingly demanding a one-stop shop for their cloud data and analytics needs.

Founded in 1975, Microsoft continues to be a pioneer in the industry and its latest release demonstrates its commitment to staying competitive. With Microsoft Fabric’s unified pricing model, the company aims to offer customers a simplified and cost-effective solution to their big data and analytics challenges.