How much can I expect to save on infrastructure costs using Molecula?

Molecula is primarily focused on opening up new use cases for our clients by shattering the latency floor compared to legacy systems. However, IT departments using Molecula often find ways to replace OLAP Cubes, Analytical Data Lakes, and other redundant systems with Molecula. When this happens, cost savings can be between 10-100x compared to the systems being replaced. This is true for the reduction of hardware footprint and for the data movement and network costs that are typically associated with information era systems.

For example, in the situations where Molecula replaces Elasticsearch in high data volume analytics use cases, we have seen upwards of 10x reduction in footprint, many orders of magnitude improvement in performance and the ability to do all of this without the typical pre-aggregation or pre-processing.