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by streetcat1
2325 days ago
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No. Because the number of use cases where you have 1TB or 2TB of data is smaller in comparison. Also, the rest of the use cases (which fits into a single machine memory now), can be handled much more efficiently with memory base algorithm, instead of I/O based algorithms. The goal of Hadoop, as well as most of the theory on disk-based indices (E.g. BTREE), was to overcome the I/O bottlenecks. But as memory is getting bigger and cheaper there is a trend to drop Hadoop in favor of reading data directly from the cloud and into memory. |
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