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Microsoft Analytics Platform System

Microsoft Server & Cloud Platform
Microsoft Analytics Platform System
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Breakthrough performance for big data analytics at an industry leading price

The Analytics Platform System brings Microsoft’s massively parallel processing (MPP) data warehouse technology–the SQL Server Parallel Data Warehouse (PDW)–together with HDInsight, Microsoft’s 100% Apache Hadoop distribution, and delivers it as a turnkey appliance. To integrate data from SQL Server PDW with data from Hadoop, APS offers the PolyBase data querying technology.


  • Up to 100x performance gains over legacy data warehouses
  • Relational and non-relational data in one appliance
  • Seamless integration of the relational data warehouse and Hadoop with PolyBase
  • Linear scale-out to 6 petabytes of user data capacity
  • The lowest price per terabyte for a data warehouse appliance in the industry

For decades, the data warehouse has been at the center of the enterprise’s decision support infrastructure, acting as the system of record for data analysis. Now the traditional data warehouse has reached a critical point, requiring major business-driven changes to the systems in place today. Key contributing factors include:

  • Data growth: Databases designed with traditional symmetric multiprocessing (SMP) architecture cannot scale to keep up with the amount of data that is expected to grow tenfold over the next five years without major investments in hardware, tuning, support, and maintenance.
  • Non-relational data: Organizations are using Apache Hadoop to store existing data and process new data types from sources like blogs, sensors, social media, and devices. This data can end up isolated from users because it is not integrated with data in the traditional data warehouse.
  • End-user expectations: End users need results in nearreal time, and they expect their internal systems to match the speed of an Internet search engine.

The modern data warehouse needs to enable users to collect and analyze virtually all data, regardless of its size or type. It also needs to deliver performance, scale, and user accessibility to keep up with enterprise demand in this world of Big Data.