What strategies do you use to ensure data consistency and synchronization between SQL and NoSQL databases in a microservices architecture?

When designing microservices that utilize both SQL and NoSQL databases, the challenge lies in ensuring data consistency and synchronization between the two. SQL databases are typically used for structured, transactional data, while NoSQL databases are preferred for handling unstructured or high-volume data, offering scalability and flexibility. However, these different databases have different strengths and limitations, making it complex to maintain consistency, especially when both are involved in a distributed architecture. The main concern arises in how data is synchronized and how transactions are managed across these databases. This involves addressing how to ensure that updates or deletions in one database are reflected in the other, without compromising the integrity of the overall system. The approach to this challenge can vary depending on whether you need strong consistency or can tolerate eventual consistency, and how you handle failures like network issues or service disruptions that may impact synchronization.