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Entity Framework with LINQ is slower than ADO.NET for handling millions of records due to its abstraction and query generation overhead. ADO.NET offers faster performance with fine-grained control but requires more complex code. For better performance with simplicity, Dapper is a recommended alternative for microservices.
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Hello,
When dealing with millions of records in microservices, the performance of Entity Framework (EF) with LINQ versus ADO.NET can vary depending on your specific use case, but generally speaking, ADO.NET tends to outperform Entity Framework in scenarios requiring high-volume data handling.
Below are the key factors affect performance:
- Entity Framework (with LINQ)
- Abstraction Layer
- Batching
- Overhead
- ADO.NET
- Low-Level API
- Batch Processing
- Performance
For microservices, where you need to ensure scalability, consistency, and performance, consider using ADO.NET for data-heavy services and possibly EF for other services where performance is less critical
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Hi Ishika Tiwari,
As Per My opinion Entity Framework (EF) with LINQ is slower for handling millions of records due to its abstraction, overhead, and auto-generated SQL. However, it’s great for development speed, maintainability, and smaller datasets.
And ADO.NET is faster because it offers direct control over queries, has no overhead like EF, and allows for optimized, hand-written SQL or stored procedures, making it ideal for large datasets and performance-critical operations.
My final optionion is like For performance-critical microservices dealing with millions of records, especially in bulk data operations, ADO.NET is the better choice due to its efficiency and low-level control.
For maintainability, simplicity, and smaller data sets, Entity Framework is suitable, but it needs optimizations (e.g., AsNoTracking(), pagination) for larger datasets.
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My guess is that saying that Entity Framework is slower due to abastraction is like saying that a compiled langauge is slower due to abastraction.
Note that Entity Framework is ADO.NET; that is, it is a set of technologies in ADO.NET; see:
Entity Framework Overview - ADO.NET | Microsoft Learn
https://learn.microsoft.com/en-us/dotnet/framework/data/adonet/ef/overview
It is not clear to me if you are asking which is fater for you or for the computer. The purpose of Entity Framework and LINQ is to make you faster. I think that EF and LINQ do much the same as what you would do if yuou use ADO.Net directly. Microsoft's experts put much time into making EF and LINQ as efficient as possible, it is possibe that they are more efficient during execution than what you write.
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Hi Ishika,
As you mentioned, you’re dealing with millions of records that are likely to grow over time, and using Entity Framework (EF) can introduce performance overhead, especially with large datasets. EF dynamically generates SQL queries based on the LINQ expressions we provide, which may not always be fully optimized. EF is normally recommended when the dataset is moderate in size.
On the other hand, ADO.NET offers closer interaction with the database and gives you direct control over the SQL queries. This control allows for query optimization and more efficient database interactions, particularly when handling large volumes of data. Therefore, I recommend using ADO.NET for a long-term, scalable solution.
Thank you.
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When handling millions of records in microservices, ADO.NET typically performs better in terms of raw performance than Entity Framework with LINQ.