CrateDB Combines SQL-based Queries And Extreme Scalability For Machine Data Analytics

Crate.io today announces the general availability of CrateDB, an open source SQL-database platform that specializes in storing and analyzing machine data and related applications. CrateDB features a distributed SQL query engine that empowers users to run complex queries in real-time without the diminution of performance specific to “first generation SQL databases”, as noted in a press release. The platform also boasts columnar field caches and enhanced versatility with respect to SQL-based queries on machine data. For example, CrateDB delivers the capability to create outer joins as well as run queries on structured and unstructured data, perform time series analysis and leverage advanced database search functionality. In addition, CrateDB features extreme scalability marked by automated sharding and data redistribution that optimizes data performance and availability in correspondence with the volume of data stored within the platform. Importantly, CrateDB allows organizations to take advantage of SQL-oriented skills and tools to expedite its integration and adoption. As such, the platform represents a SQL-based alternative to NoSQL machine data solutions such as Splunk and Cassandra that empowers organizations to collect and analyze massive volumes of machine data in real-time in conjunction with the platform’s enhanced querying versatility and scalability. Available under an Apache 2.0 license, CrateDB marks the emergence of another key player in the machine data analytics space that promises to disrupt the landscape of machine data analytics platforms, particularly given the nexus of its advanced SQL-based querying functionality and extreme scalability. Organizations with resources versed primarily in SQL will lean toward CrateDB given the richness of its distributed SQL querying engine and ability to query data in real-time without resorting to an ancillary data warehousing option to append to their machine data analytics infrastructure.

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