Which components contribute to the effectiveness of managing a constantly changing database for read performance?

The effectiveness of managing a constantly changing database for read performance is significantly influenced by delta storage. Delta storage is designed to handle recent changes or transactions efficiently. In a scenario where data is frequently changing, delta storage is where new data is written before it is merged back into the main storage.

By using delta storage, databases can optimize read performance because read operations can quickly access the frequently updated data without having to sift through all the historical data held in the main storage. This separation allows for the efficient processing of read requests since the most current data is readily available in a structured format optimized for quick access.

When looking at the other components, while column store facilitates efficient data retrieval and is vital for analytical queries by storing data in a columnar format, it's the combination of main storage and delta storage that directly enhances read performance during transactions. Memory store, although providing rapid access to data, doesn't specifically address the challenges of read performance in the context of frequent changes in the data. Thus, delta storage stands out as the key player in managing the read performance of a constantly changing database.