1. Data Model: FoundationDB is a distributed, transactional key-value store that does not provide an object-relational mapping layer like Hibernate. Hibernate, on the other hand, is an ORM framework that maps object-oriented domain models to relational databases.

2. Query Language: FoundationDB uses a SQL-like language called SQL++ for querying data, while Hibernate provides HQL (Hibernate Query Language) for querying objects and entities in the database. These two languages serve different purposes and have distinct syntaxes tailored to their respective underlying storage technologies.

3. Scalability: FoundationDB is designed for horizontal scalability, allowing users to easily add more nodes to the cluster and distribute the workload across them. Hibernate, being a framework for ORM, does not inherently provide scalability features and would require additional tools or configurations to achieve similar levels of scalability.

4. Consistency: FoundationDB guarantees strong consistency for transactions, meaning that all reads and writes appear to be instantaneous and mutually exclusive to the client. Hibernate offers different levels of consistency depending on the configuration and isolation level set for the database, which may not always provide the same level of transactional guarantees as FoundationDB.

5. Data Storage: FoundationDB stores data in a distributed, fault-tolerant manner across multiple nodes, ensuring high availability and reliability. Hibernate relies on the underlying relational database system for data storage, which may not provide the same level of fault tolerance and availability as FoundationDB's distributed architecture.

In Summary, FoundationDB and Hibernate differ in their data modeling approach, query languages, scalability features, consistency guarantees, and data storage mechanisms.