Traditional systems are straining as they try to manage massive data growth while meeting the demand for a richer class of data analytics. Delivering the performance, scalability, and ease of use that business and data science demand requires a new architecture that delivers both the simplicity of the standard language of business analytics, SQL, and the power of new analytic frameworks, like the MapReduce framework popularized by Hadoop. This system must be designed for iterative, ultra-fast analysis that easily scales to terabytes of data and beyond.
Aster Database delivers a massively parallel (MPP) Analytic Platform, a software solution that embeds both SQL and MapReduce analytic processing with data stores for deeper insights on multi-structured data sources and types to deliver new analytic capabilities with breakthrough performance and scalability. Aster Database not only stores large volumes of data but also processes data and analytic applications in-database to deliver faster, deeper insights.
When coupled with the proven Teradata Database, it’s a winning combination.