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HadoopDB
来自开放百科 - 灰狐
（版本间的差异）
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==Links== | ==Links== | ||
*http://db.cs.yale.edu/hadoopdb/ | *http://db.cs.yale.edu/hadoopdb/ | ||
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| + | [[Category:MapReduce]] | ||
| + | [[Category:Database]] | ||
2010年9月22日 (三) 03:15的最后版本
HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads.
HadoopDB is:
- A hybrid of DBMS and MapReduce technologies that targets analytical workloads
- Designed to run on a shared-nothing cluster of commodity machines, or in the cloud
- An attempt to fill the gap in the market for a free and open source parallel DBMS
- Much more scalable than currently available parallel database systems and DBMS/MapReduce hybrid systems.
- As scalable as Hadoop, while achieving superior performance on structured data analysis workloads
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