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Editorial Team
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Editorial Team
Asked: June 1, 20262026-06-01T02:21:20+00:00 2026-06-01T02:21:20+00:00

I need to insert rows rows into a database, then in another thread read

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I need to insert rows rows into a database, then in another thread read those rows and then (in a separate call delete them).

Normally I would just break out Entity Framework for this. But I need this to be fast. Really fast.

A row would be an bigint, bigint and a varchar(max).

Is there a faster way that Entity Framework? If so, what is it?

(I am going against SQL Server 2008 R2)

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  1. Editorial Team
    Editorial Team
    2026-06-01T02:21:22+00:00Added an answer on June 1, 2026 at 2:21 am

    There is some good info on the Dapper ORM page about this.

    See section Performance of SELECT mapping over 500 iterations – POCO serialization and below. It only discusses SELECTs, but you can extrapolate from this to a certain degree.

    For example, you can see that Entity Framework is pretty much the worst way to go, in terms of query speed.

    Method                             Duration    Remarks
    Hand coded (using a SqlDataReader) 47ms
    Dapper ExecuteMapperQuery<Post>    49ms
    ServiceStack.OrmLite (QueryById)   50ms
    PetaPoco                           52ms        Can be faster
    BLToolkit                          80ms
    SubSonic CodingHorror              107ms
    NHibernate SQL                     104ms
    Linq 2 SQL ExecuteQuery            181ms
    Entity framework ExecuteStoreQuery 631ms
    
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