MariaDB Energizes the Data Warehouse with Open Source Analytics Solution

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by Angela Guess

According to a recent press release, “MariaDB® Corporation, the company behind the fastest growing open source database, today announced new product enhancements to MariaDB AX, delivering a modern approach to data warehousing that enables customers to easily perform fast and scalable analytics with better price performance over proprietary solutions. MariaDB AX expands the highly successful MariaDB Server, creating a solution that enables high performance analytics with distributed storage and parallel processing, and that scales with existing commodity hardware on premises or across any cloud platform. With MariaDB AX, data across every facet of the business is transformed into meaningful and actionable results.”

David Thompson, VP of Engineering at MariaDB Corporation, noted, “MariaDB AX is a powerful, open source solution for performing custom and complex analytics… In order to fully realize the power of big data, our customers need the ability to gather insights in near real time, regardless of where the data is coming from. With MariaDB AX, it’s easier than ever to ingest and analyze streaming data from disparate sources, while ensuring the highest level of reliability through new high availability and backup capabilities.”

The release continues, “Data warehouses are traditionally expensive and complex to operate. Driven by the need for more meaningful and timely analytics that meet hardware and cost pressures, companies are reassessing their data warehouse and analytics strategy. Built for performance and scalability, MariaDB AX uses a distributed and columnar open source storage engine with parallel query processing that allows customers to store more data and analyze it faster. MariaDB AX supports a wide range of advanced analytic use cases across every industry, for example, identifying health trends to inform healthcare programs and policy, behavioral analysis to inform customer service and sales strategies, and analysis of financial anomalies to inform fraud programs.”

Read more at Marketwired.

Photo credit: MariaDB

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