Entity Framework Extensions extends your DbContext with high-performance bulk operations: BulkSaveChanges, BulkInsert, BulkUpdate, BulkDelete, BulkMerge, and more.
Support: SQL Server, MySQL, Oracle, PostgreSQL, SQLite, and more!
Example: https://dotnetfiddle.net/awlJdf
Benchmark:...
More information
Microsoft.EntityFrameworkCore Extension Methods
Entity Framework Extensions extends your DbContext with high-performance bulk operations: BulkSaveChanges, BulkInsert, BulkUpdate, BulkDelete, BulkMerge, and more.
Support: SQL Server, MySQL, Oracle, PostgreSQL, SQLite, and more!
Example:...
More information
Extend your IDbConnection with high-performance bulk operations
Features: BulkInsert, BulkDelete, BulkUpdate, BulkMerge, and more!
Support: SQL Server, MySQL, Oracle, PostgreSQL, SQLite, and more!
Online Example: https://dotnetfiddle.net/ltIqrC
Include free and prime features.
Extend your DbContext with high-performance bulk operations
Features: BulkSaveChanges, BulkInsert, BulkUpdate, BulkDelete, BulkMerge
Support: SQL Server, MySQL, Oracle, PostgreSQL, SQLite, more
Include free and prime features.
Entity Framework Extensions extends your DbContext with high-performance bulk operations: BulkSaveChanges, BulkInsert, BulkUpdate, BulkDelete, BulkMerge, and more.
Example: https://dotnetfiddle.net/awlJdf
Benchmark: https://dotnetfiddle.net/35mQ0W
EF Core Package:...
More information
Entity Framework Extensions extends your DbContext with high-performance bulk operations: BulkSaveChanges, BulkInsert, BulkUpdate, BulkDelete, BulkMerge, and more.
Example: https://dotnetfiddle.net/awlJdf
Benchmark: https://dotnetfiddle.net/35mQ0W
EF Core Package:...
More information
Generates Excel Report for duplicates inc. count of completed fields and activities for each record. This will provide more insight to help identify the Master record when performing bulk merges.
DataBooster is a high-performance extension to ADO.NET Data Provider, includes a light encapsulation to minimize your DAL code and a booster to maximize throughput for writing huge numbers of records to database. Please visit https://github.com/DataBooster/DataAccess for detail.