Databricks, the company founded by the team that developed Apache Spark, recently announced the finalization of $33M in Series B funding in a round led by New Enterprise Associates with existing participation from Andreessen Horowitz. The company also revealed plans for commercializing Apache Spark by means of the newly launched Databricks Cloud that simplifies the data pipeline for data storage, ETL processing and thereupon running analytics and data visualizations on cloud-based Big Data. Powered by Apache Spark, the Databricks Cloud leverages Spark’s array of capabilities for operating on Big Data such as its ability to operate on streaming data, perform graph processing, offer SQL on Hadoop as well as its machine learning functionality. The platform aims to deliver a streamlined data pipeline for ingesting, analyzing and visualizing Hadoop-based data in a way that dispels the need to utilize a combination of heterogeneous technologies. Databricks will initially offer the Databricks Cloud on Amazon Web Services but plans to expand its availability to other clouds in subsequent months.
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