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: Database for Real-time Analytics and Hybrid Search
Execute ad-hoc queries on billions of records in milliseconds. Columnar storage guarantees ultra-fast aggregations, enabling instant data-driven decisions. Begin with a simple query and delve into complex data relationships, revealing trends and patterns across diverse data types. Effortless search across structured, semi-structured, geospatial, and vector data. Perform full-text, vector search or
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
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
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？
