Summary
This white paper outlines five key indicators that organizations may have outgrown Couchbase as their database solution. It begins by discussing the challenges associated with scaling Couchbase, particularly in terms of cost and operational complexity. As data volumes and transaction demands increase, users may experience performance issues, leading to service-level agreement (SLA) violations. The paper details the need for predictable clustering operations, proven performance for mixed workloads, and broader multi-site support. It also highlights the limitations of Couchbase in supporting modern data models, such as graph and vector data, which are increasingly important for AI and machine learning projects. The document contrasts Couchbase with Aerospike, emphasizing the latter's advantages in performance, cost efficiency, and flexibility for diverse application requirements. The white paper serves as a guide for organizations evaluating their database needs and considering alternatives to Couchbase.
