You are here:  Home  >  Data Education  >  Big Data News, Articles, & Education  >  Big Data News  >  Current Article

The Apache Software Foundation Announces Apache Kudu as a Top-Level Project

By   /  July 26, 2016  /  No Comments

asfby Angela Guess

A new press release reports, “The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache® Kudu™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project’s community and products have been well-governed under the ASF’s meritocratic process and principles. Apache Kudu is an Open Source columnar storage engine built for the Apache Hadoop ecosystem designed to enable flexible, high-performance analytic pipelines.”

The release goes on, “Optimized for lightning-fast scans, Kudu is particularly well suited to hosting time-series data and various types of operational data. In addition to its impressive scan speed, Kudu supports many operations available in traditional databases, including real-time insert, update, and delete operations. Kudu enables a ‘bring your own SQL’ philosophy, and supports being accessed by multiple different query engines including such other Apache projects as Drill, Spark, and Impala (incubating). Apache Kudu is in use at diverse companies and organizations across many industries, including retail, online service delivery, risk management, and digital advertising.”

Baoqiu Cui, Chief Architect at Xiaomi, commented, “Using Apache Kudu alongside interactive SQL tools like Apache Impala (incubating) has allowed us to deploy a next-generation platform for real-time analytics and online reporting… Apache Kudu has been deployed in production at Xiaomi for more than six months and has enabled us to improve key reliability and performance metrics for our customers. We are excited to see Kudu graduate to a top-level project and look forward to continuing to contribute to its success.”

Read more at GlobeNewswire.

Photo credit: Apache

You might also like...

Make the Most of Graph Databases Through Interactive Analytics

Read More →