AnyDB: An Architecture-less DBMS for Any Workload
This addresses the need for flexible and efficient database management for diverse workloads, representing a new paradigm rather than an incremental improvement.
The paper tackles the problem of static architectural models in distributed DBMSs by proposing an architecture-less DBMS that mimics any architecture per-query on-the-fly, resulting in significant speed-ups across varying workloads compared to traditional DBMSs.
In this paper, we propose a radical new approach for scale-out distributed DBMSs. Instead of hard-baking an architectural model, such as a shared-nothing architecture, into the distributed DBMS design, we aim for a new class of so-called architecture-less DBMSs. The main idea is that an architecture-less DBMS can mimic any architecture on a per-query basis on-the-fly without any additional overhead for reconfiguration. Our initial results show that our architecture-less DBMS AnyDB can provide significant speed-ups across varying workloads compared to a traditional DBMS implementing a static architecture.