Evaluating New Database Tech Before You Commit

It is easy to say yes to a new database that solves a specific application problem. It is much harder to manage that database six months later when the cloud bill arrives or an audit fails.

This session is designed for data professionals and architects who need to balance developer requests for innovation with the reality of operational stability. We will use real world examples, such as vector stores for AI and distributed systems like Cassandra, to expose the hidden maintenance costs that vendors rarely mention.

You will leave this session with a practical scorecard to evaluate any new technology. We will cover how to estimate total cost of ownership, verify disaster recovery claims, and ensure security compliance before you sign the contract. Learn how to support the business without sacrificing your reliability or your budget.

Identify hidden cost drivers in emerging database technologies, such as vector stores and managed services, to accurately forecast total cost of ownership beyond just storage fees. Evaluate the operational maturity of a new platform by auditing its capabilities regarding point-in-time recovery, high availability, and security compliance. Construct a standardized vetting scorecard to objectively compare new tools against your organization's specific reliability and maintenance requirements.