Enable javascript in your browser for better experience. Need to know to enable it? Go here.
已发布 : Nov 30, 2017
这一条目不在当前版本的技术雷达中。如果它出现在最近几期中,那么它很有可能仍然具有相关参考价值。如果这一条目出现在更早的雷达中,那么它很有可能已经不再具有相关性,我们的评估将不再适用于当下。很遗憾我们没有足够的带宽来持续评估以往的雷达内容。 了解更多
Nov 2017
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索

MapD is an in-memory columnar analytic database with SQL support that's built to run on GPU. We debated whether the database workload is actually I/O or computationally bound but there are instances where the parallelism of the GPU, combined with the large bandwidth of VRAM, can be quite useful. MapD transparently manages the most frequently used data in VRAM (such as columns involved in group-by, filters, calculations and join conditions) and stores the rest of the data in the main memory. With this memory management setup, MapD achieves significant query performance without the need of indexes. Although there are other GPU database vendors, MapD is leading this segment with the recent open source release of its core database and through the GPU Open Analytics Initiative. If your analytical workload is computationally heavy, can exploit GPU parallelism and can fit in the main memory, we recommend assessing MapD.



English | Español | Português | 中文