3 ms·
With these in-memory DBs, scaling beyond 1TB becomes prohibitively expensive for most companies.
by arnon 9y ago
With these in-memory DBs, scaling beyond 1TB becomes prohibitively expensive for most companies.
- tmostak 9y agoNote that MapD is not fully in-memory. It can pull from CPU Memory and SSD as necessary. So its essentially as fast as the fastest disk-based database at its worst and likely two orders-of-magnitude or more faster in many common scenarios where certain subsets of the data are repeatedly queries (for example, BI workloads or when repeatedly pulling out subsets of a dataset to train a model)