Indexing plays a crucial role in database performance tuning by speeding up data retrieval operations. Indexes provide a quick lookup mechanism that allows the database management system to locate specific rows efficiently, especially when executing queries involving search conditions or joining tables.

Database schema design plays a crucial role in database performance tuning, as it directly influences query optimization. A well-designed schema can improve query performance by reducing the need for complex joins, minimizing data redundancy, and optimizing data retrieval paths. Effective schema design also facilitates efficient indexing strategies, which further enhances performance tuning efforts.

In Dimensional Modeling, a dimension table includes descriptive attributes, hierarchies, and is designed for analysis and reporting. This allows for efficient querying and reporting in data warehouses, supporting the business's analytical needs.

Version control features in ER diagram tools allow the team to automatically track changes, providing a history of modifications. This enables the team to manage the evolution of the database schema, understand who made specific changes, and roll back to previous versions if needed. It ensures collaboration without the risk of conflicting changes.

The primary query language used in document-based databases is BSON (Binary JSON). BSON is a binary representation of JSON-like documents and is the format used to store and query data in databases like MongoDB. It allows for complex queries and efficient storage of diverse data types.

In database modeling, a superclass is a high-level table that shares common attributes with one or more lower-level tables, known as subclasses. It allows for the representation of generalization and specialization relationships in a database.

Type 2 SCD maintains historical data by adding historical columns to the dimension table. This includes fields like start date, end date, or version number to track changes over time and preserve historical information about the dimension's attributes.

Data partitioning is employed to enhance performance in distributed systems. It involves dividing large datasets into smaller, more manageable partitions, distributed across multiple nodes. This aids in parallel processing and efficient utilization of resources, ultimately boosting system performance.

The eventual consistency model in NoSQL databases prioritizes availability over consistency. It allows for temporary inconsistencies between distributed nodes, aiming to provide high availability and fault tolerance in scenarios where immediate consistency is not crucial.

Clustering algorithms can be used to group users based on their similar interests, preferences, and behavior patterns. By clustering users with similar interests together, the social media platform can recommend relevant content to each user based on the preferences of their respective clusters, thereby enhancing user experience.