SQL on Hadoop in Taiwan
This document discusses SQL engines for Hadoop, including Hive, Presto, and Impala. Hive is best for batch jobs due to its stability. Presto provides interactive queries across data sources and is easier to manage than Hive with Tez. Presto's distributed architecture allows queries to run in parallel across nodes. It supports pluggable connectors to access different data stores and has language bi
War of the Hadoop SQL engines. And the winner is ...? - Sonra
War of the Hadoop SQL engines. And the winner is …? You may have wondered why we were quiet over the last couple of weeks? Well, we locked ourselves into the basement and did some research and a couple of projects and PoCs on Hadoop, Big Data, and distributed processing frameworks in general. We were also looking at Clickstream data and Web Analytics solutions. Over the next couple of weeks we wil
CrateDB: Real-time Analytics Database and Hybrid Search
Real-time Ingestion and Dynamic Indexing Enjoy the power of instant indexing and adaptability, perfectly suited for handling complex and evolving data structures. Real-time indexing automatically indexes all columns, including nested structures, as data is ingested, ensuring immediate query availability with no latency. The flexible data schema dynamically adapts based on the data you ingest, offe
Facebook unveils Presto engine for querying 250 PB data warehouse – Old GigaOm
At a conference for developers at Facebook (s fb) headquarters on Thursday, engineers working for the social networking giant revealed that it’s using a new homemade query engine called Presto to do fast interactive analysis on its already enormous 250-petabyte-and-growing data warehouse. More than 850 Facebook employees use Presto every day, scanning 320 TB each day, engineer Martin Traverso said
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SQL on Hadoop 比較検証 【2014月11日における検証レポート】
オープンソースのSQL-in-Hadoopソリューション:我々はいまどこに？
