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Categories: Apache Big Data Hadoop Kudu

Forest Hill, MD, July 25, 2016 (GLOBE NEWSWIRE) — 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. “Under the Apache Incubator, the Kudu community has grown to more than 45 developers and hundreds of users,” said Todd Lipcon, Vice President of Apache Kudu and Software Engineer at Cloudera. “We are excited to be recognized for our strong Open Source community and are looking forward to our upcoming 1.0 release.” 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. “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,” said Baoqiu Cui, Chief Architect at Xiaomi. “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.” “We are already seeing the many benefits of Apache Kudu. In fact we’re using its combination of fast scans and fast updates for upcoming releases of our risk solutions,” said Cory Isaacson, CTO at Risk Management Solutions, Inc. “Kudu is performing well, and RMS is proud to have contributed to the project’s integration with Apache Spark.” “The Internet of Things, cybersecurity and other fast data drivers highlight the demands that real-time analytics place on Big Data platforms,” said Arvind Prabhakar, Apache Software Foundation member and CTO of StreamSets. “Apache Kudu fills a key architectural gap by providing an elegant solution spanning both traditional analytics and fast data access. StreamSets provides native support for Apache Kudu to help build real-time ingestion and analytics for our users.”

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