Big Memory SolutionsBigger, Faster, Cheaper, HA In-Memory Databases
In-Memory Database Challenges
There are several challenges that IT organizations face as their IMDBs grow
Growing in-memory databases push the limits of server and memory infrastructure in many ways. Depending on the specific capacity, performance, cost, and availability SLAs for an application, IT pros are needing to address one or more of the following issues that lead to Big Memory.
Top 4 reasons why in-memory databases need Big Memory
Data is greater than memory resulting in slower IO to storage
Low capacity of DRAM limits scaling of capacity in a server
Adding a lot of precious DRAM is super-expensive
Crash recovery from storage is long and disruptive
2 things that don’t change with Big Memory
Old fashioned DRAM-like performance and access to memory without changes to your apps
The capability that IT pros want most from their memory infrastructure is DRAM-like performance. Shown below are results of kdb+ bulk insert testing performed by MemVerge. The results show that Big Memory, including a mix of DRAM and PMEM allocated by Memory Machine software, performed as fast or faster than DRAM-only.
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