High Performance Operations
Use scalable bulk operations (Bulk Insert, Update, Delete and Merge) and always get the best performance available for your database provider.
Support all major providers:
- SQL Server 2008+
- SQL Azure
- SQL Compact
|Operations||1,000 Rows||10,000 Rows||100,000 Rows||1,000,000 Rows|
|Insert||6 ms||25 ms||200 ms||2,000 ms|
|Update||50 ms||80 ms||575 ms||6,500 ms|
|Delete||45 ms||70 ms||625 ms||6,800 ms|
|Merge||65 ms||160 ms||1,200 ms||12,000 ms|
* Benchmark for SQL Server
Amazing performance, outstanding support!
We were very, very pleased with the customer support. There was no question, problem or wish that was not answered AND solved within days! We think that’s very unique!
I’d definitely recommend it as it is a great product with a great performance and reliability.
It’s great. It took me 5 minutes to implement it and makes my application 100x more responsive for certain database operations.
Dapper Plus Mapper allow to map the conceptual model (Entity) with the storage model (Database) and configure options to perform Bulk Actions.
Bulk Actions allow to perform a bulk insert, update, delete or merge and include related child items.
- Bulk Insert
- Bulk Update
- Bulk Delete
- Bulk Merge
Also Bulk Actions
Also Bulk Actions allow to perform bulk action with a lambda expression using entities from the last Bulk[Action] or ThenBulk[Action] used.
Then Bulk Actions
Then Bulk Actions is similar to Also Bulk Actions but modify entities used for the next bulk action using a lambda expression.
The Dapper Plus Include method allow resolving issues with multiple "ThenBulk[Action]" method.