1. Data Model: Hazelcast is an in-memory data grid that stores data in memory for faster access, while MySQL is a traditional relational database management system that stores data on disk. This difference in data model leads to variations in performance and scalability based on the application requirements.

2. Data Schema: Hazelcast does not enforce strict schemas like MySQL, allowing for more flexibility in managing data structures. MySQL requires predefined schemas for data storage, which can be advantageous for maintaining data integrity and ensuring structured queries.

3. Read-Write Speed: Hazelcast excels in read-heavy workloads due to its in-memory data storage and distributed cache capabilities, providing faster read access compared to MySQL. In contrast, MySQL is optimized for write-heavy workloads and transactional operations, ensuring data durability and consistency.

4. Deployment and Scalability: Hazelcast is designed for horizontal scalability, allowing easy addition of nodes to distribute workload and data for improved performance. MySQL, on the other hand, requires vertical scaling by upgrading hardware to handle increased data storage and processing needs.

5. High Availability: Hazelcast provides high availability and fault tolerance through its distributed architecture and partitioning strategy, ensuring data redundancy and seamless failover. MySQL requires additional configuration and setup, such as replication or clustering, to achieve similar levels of availability.

6. Consistency Model: Hazelcast offers eventual consistency, where updates are propagated asynchronously across the cluster, providing higher availability and scalability but potentially leading to data conflicts. MySQL ensures immediate consistency by enforcing ACID properties, guaranteeing data accuracy and reliability at the cost of performance in distributed environments.

In Summary, Hazelcast and MySQL differ in data model, data schema, read-write speed, deployment scalability, high availability, and consistency model.