Next-gen data engines transform metadata performance

The rapid growth of data-intensive use cases such as simulations, streaming applications (like IoT and sensor feeds), and unstructured data has elevated the importance of performing fast database operations such as writing and reading data—especially when those applications begin to scale. Almost any component in a system can potentially become a bottleneck, from the storage and network layers through the CPU to the application GUI.

As we discussed in “Optimizing metadata performance for web-scale applications,” one of the …

analytics application applications become cases cloud computing cpu data database data operations gen growth gui importance iot metadata network next next-gen operations performance reading scale sensor simulations software development storage streaming unstructured unstructured data use cases web writing