Entity Framework Core (EF Core) is a popular ORM for C#, known for making data access simple. However, its default way of saving changes can become a severe performance bottleneck when applications deal with large volumes of data, such as during mass imports or synchronization tasks. The Inefficiency of Default Saving The standard method for saving data in EF Core relies on the Change Tracker. For every entity inserted, updated, or deleted, the framework typically issues a separate database command. This leads to two major issues when processing large batches: Excessive Round Trips: The application must communicate with the database repeatedly for each record. Network latency and the overhead of establishing countless connections are the primary cause of slow performance. Change Tracking Overhead: The system expends significant resources tracking the state and property changes of every entity loaded into memory, which is wasteful for simple batch operations. For scenarios involving thousands of records, this one-by-one approach is unsustainable. EF Core's Internal Improvements To address this, modern versions of EF Core introduced new functionality to handle batch modifications more efficiently. Instead of relying on the Change Tracker, new methods allow developers to define an operation (like an update or delete) using a LINQ query and execute it directly on the database. This strategy results in the entire operation being translated into a single, highly optimized SQL statement. This drastic reduction in round trips and the complete bypassing of the Change Tracker dramatically improves performance for large-scale updates and deletes. Achieving True High-Speed Bulk Transfers While internal EF Core features are excellent for updates, achieving the highest possible speeds for bulk inserts (adding massive quantities of new data) often requires leveraging native database capabilities. Databases like SQL Server, Oracle, and PostgreSQL have specialized mechanisms designed for rapid data ingestion that are far faster than repeated individual INSERT statements. To utilize these native features within the EF Core structure, developers turn to specialized data providers. These providers, such as Devart dotConnect, are engineered to maximize performance. They intelligently intercept EF Core commands and convert them into the most efficient, low-level database bulk operation available. By employing providers like Devart dotConnect https://www.devart.com/dotconnect/ef-core-bulk-insert-update.html, applications gain access to speeds often many times faster than default EF Core behavior, ensuring that data operations remain scalable and responsive even under extreme load. The right strategy involves choosing the best tool—whether it's an internal EF Core batch method or a specialized provider—for the specific data task at hand.