1. Key Difference 1: Data Storage Architecture Amazon Redshift is a fully managed, columnar-based data warehouse that uses advanced compression techniques to store data efficiently. It organizes data into multiple columnar storage nodes and leverages massively parallel processing (MPP) architecture for fast query execution. In contrast, Hibernate is an object-relational mapping (ORM) framework that provides a convenient way to map Java objects to relational database tables. It does not have any specific architecture for data storage.

2. Key Difference 2: Query Optimization Amazon Redshift includes a query optimizer that automatically distributes and parallelizes queries across the available compute resources to improve performance. It also provides features like query rewrite, zone maps, and intelligent caching mechanisms to optimize query performance further. On the other hand, Hibernate relies on the query optimizer provided by the underlying relational database management system (RDBMS).

3. Key Difference 3: Scale and Elasticity Amazon Redshift is designed to scale seamlessly from a few terabytes to petabytes of data. It allows users to add or remove compute resources on-demand, providing elasticity to handle varying workloads. Hibernate, being an ORM framework, does not have built-in scalability features. It relies on the scalability of the underlying RDBMS.

4. Key Difference 4: Data Manipulation Language (DML) Support Amazon Redshift supports a subset of SQL data manipulation language (DML) operations for querying and manipulating data. However, it does not provide full support for all DML operations like INSERT, UPDATE, and DELETE. Hibernate, as an ORM framework, provides a higher level of abstraction for data manipulation and supports a wider range of DML operations for database interaction.

5. Key Difference 5: Workload Management Amazon Redshift allows users to define and manage query queues and concurrency settings to prioritize and allocate resources to different workloads. It provides workload management features to control query execution and allocate resources based on user-defined thresholds. Hibernate, being an ORM framework, does not have built-in workload management capabilities.

6. Key Difference 6: Cost and Pricing Model Amazon Redshift follows a pay-as-you-go pricing model based on compute and storage resources consumed. The cost is determined by factors like the number of nodes, type of nodes, and data storage volume. Hibernate, being an open-source framework, does not have any direct costs associated with it. However, it requires an underlying RDBMS, which may have its own pricing model.

In Summary, Amazon Redshift is a fully managed, columnar-based data warehouse with advanced compression, optimized query execution, scalability, limited DML support, workload management, and a cost-based pricing model. Hibernate is an ORM framework that provides object-relational mapping capabilities but lacks specific features like data storage architecture, query optimization, scalability, extensive DML support, workload management, and cost considerations.