In an exploration of fuzzy matching using SQL with CockroachDB, Michael Goddard demonstrates how to leverage CockroachDB's capabilities to address common data input errors, such as misspelled sports team names, without relying on more complex and costly solutions like Elasticsearch. The experiment utilizes CockroachDB's Enterprise Changefeeds to route events through an external system back into the database, highlighting the potential for broader applications beyond fuzzy matching. Goddard discusses the implementation of a REST app using Python and Flask to provide a webhook endpoint for changefeeds and a search endpoint for retrieving the closest team name matches using n-gram based matching. This approach capitalizes on new features in CockroachDB, such as changefeeds configured on specific column families, to efficiently handle data changes and queries. The experiment showcases the evolution of development practices towards using microservices and coding logic outside the database, aligning with modern trends in software architecture.