Driven by requirements for improved analytical response, business intelligence platforms are quickly moving toward implementing in-memory technologies. Many of these implementations share limiting factors such as siloed data structures, lack of scale-out to multiple memory spaces, and lack of coordinated metadata facilities. Bridging across these boundaries is key to enabling not just a one-off implementation, but also a long-term solution for performance-based analytical environments.