Explore why database innovation remains challenging, from developer resistance to legacy system inertia, and how AI demands are reshaping data strategies.

Quesma

Database innovation lags far behind other areas of software development due to developer resistance, risk-averse tech leadership, and the slow adoption of new DB engines. Migrating databases is painful and high-stakes, often requiring years of preparation with frequent rollbacks. The rise of generative AI is creating new and urgent demands on data storage and access patterns that most classic databases are not equipped to handle, making the need for DB innovation greater than ever.

Challenges of change