Store Large Volumes of Data Completely In-Memory
The era of in-memory computing is upon us. Unlike traditional business intelligence solutions, Armanta’s architecture allows users to store large volumes of data completely in memory and analyze it in an interactive fashion. The Intelligence Cache’s massively parallel (MPP), shared nothing architecture allows it to scale linearly with the amount of data and number of users. Armanta’s sophisticated memory management algorithms make optimal use of the available memory in the Armanta platform and make sure the most relevant data for business users are always available in-memory.
While the business user can access all the data in the enterprise via an integrated view of the metadata, Armanta brings the actual data into memory on-demand based on analytical needs. This is in contrast to most other business intelligence platforms that force the business user to bring in all the data they may potentially need upfront with no flexibility to react to future changes in requirements.