54 | | * http://www.hadapt.com/ |
| 54 | * 看樣子今年 Structure Big Data 研討會,出現 Hadoop 相關的新興公司非常多啊~這場火會延燒到台灣嘛?! |
| 55 | * [http://gigaom.com/cloud/as-big-data-takes-off-the-hadoop-wars-begin/ As Big Data Takes Off, the Hadoop Wars Begin] - Hadoop 的戰線逐漸進入白熱化狀態,當然有人在擔心這樣會不會太仰賴單一軟體平台。 |
| 56 | {{{ |
| 57 | * Full-on distributions |
| 58 | * Apache Hadoop |
| 59 | * Cloudera’s Distribution including Apache Hadoop (that’s the official name) |
| 60 | * IBM Distribution of Apache Hadoop |
| 61 | * DataStax Brisk |
| 62 | * Amazon Elastic MapReduce |
| 63 | * HDFS alternatives |
| 64 | * Mapr |
| 65 | * Appistry CloudIQ Storage Hadoop Edition |
| 66 | * IBM Global Parallel File System (GPFS) |
| 67 | * CloudStore |
| 68 | * Hadoop MapReduce alternatives |
| 69 | * Pervasive DataRush |
| 70 | * Cascading |
| 71 | * Hive (an Apache subproject, included in Cloudera’s distribution) |
| 72 | * Pig (a Yahoo-developed language, included in Cloudera’s distribution) |
| 73 | }}} |
| 74 | * [http://www.datastax.com/products/brisk Brisk] - 一個 Cassandra + Hadoop 的平台 |
| 75 | * [http://www.mapr.com/ Mapr] - 想要取代 HDFS 的另一個方案 |
| 76 | * http://www.hadapt.com/ - Hadapt 是一個訴求讓 SQL-like 應用能比用 HBase 更快的公司,底下是效能比較跟架構圖 |