ETLBox.SqlServer 3.5.2

.NET 6.0 This package targets .NET 6.0. The package is compatible with this framework or higher. .NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package ETLBox.SqlServer --version 3.5.2                

                    
                

            
NuGet\Install-Package ETLBox.SqlServer -Version 3.5.2
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="ETLBox.SqlServer" Version="3.5.2" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add ETLBox.SqlServer --version 3.5.2                

                    
                

            
#r "nuget: ETLBox.SqlServer, 3.5.2"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install ETLBox.SqlServer as a Cake Addin
#addin nuget:?package=ETLBox.SqlServer&version=3.5.2

// Install ETLBox.SqlServer as a Cake Tool
#tool nuget:?package=ETLBox.SqlServer&version=3.5.2

What is ETLBox

ETLBox is a lightweight ETL (extract, transform, load) library and data integration toolbox for .NET. You can use it to read any data from different sources and connect them with customizable transformations. Finally, you can export the data into different databases, web endpoints, file types or any other destinations. While data is processed in memory, you can choose between different transformation components to harmonize, filter, aggregate, validate and clean your data.

ETLBox is a fully functional alternative to other ETL tools like SQLServer Integrations Services (SSIS) or Azure Data Factory. The main difference to other toolsets is that it doesn’t come with a User Interface. But no worries! Working with ETLBox, you will discover that creating data flows programmatically is the best approach for solving most of your ETL and data integration related problems.

Why should I choose ETLBox?

Here are a few things you can do with ETLBox:

  • Convert incoming data to a common format.
  • Prepare data for analysis and visualization.
  • Migrate between databases.
  • Share data processing logic across web apps, batch jobs, and APIs.
  • Power your data ingestion and integration tools.
  • Consume large CSV, Excel or Json files.
  • Process big data with a limited amount of memory.
  • Bulk insert, update or delete into your database.

Core concepts

ETLBox is a data processing engine based on .NET Core, giving you the power to create your own ETL processes. This engine runs inside your applications, APIs, and jobs to extract, filter, transform, migrate data on-the-fly. ETLBox speeds up your development by providing an easy-to-use toolbox for integrating your data from different sources within your app and load them into any target you like.

Learn more: www.etlbox.net

Ready to learn more? Visit www.etlbox.net and get started with coding your own ETL jobs with C#!

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 is compatible.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (5)

Showing the top 5 NuGet packages that depend on ETLBox.SqlServer:

Package Downloads
Nox.Integration

Nox integration library
ETLBox.AnalysisServices

This is the Analysis Services connector for ETLBox. It enables you to read and write data to Microsoft SQL Server Analysis Services (SSAS), making it easier to process and manage analytical models. ETLBox is a lightweight ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build Scalable Data Pipelines for SQL, NoSQL, APIs, and Flat Files # Automate Data Transformation, Validation, and Cleaning # Ideal for Data Warehousing, Migration, and Synchronization Simplify Data Integration and Automation: ETLBox provides source and destination components to read and write data from databases, APIs, and file formats like CSV, Excel, and JSON. Transformations let you harmonize, filter, aggregate, validate, and clean your data in parallel workflows. Key Features: * Supports streaming data pipelines for real-time processing * Parallel data flow processing for faster ETL pipelines * Extensive set of built-in connectors with support for custom extensions For tutorials, examples, and documentation visit: https://www.etlbox.net
ETLBox.EntityFramework.SqlServer

Extend your Entity Framework's DbContext with extremely fast BulkOperation for SQLServer.
EFBox.SqlServer

This is the SQLServer connector package for EFBox. EFBox enhances Entity Framework (Core) with high-performance bulk operations for inserting, updating, upserting, deleting and merging data. # Accelerate Data Operations with EFBox # Simplify Bulk Inserts, Updates, Upserts, Deletes and Merges in Entity Framework (Core) # Ideal for Large Datasets, Migrations, and Data Synchronization EFBox integrates with your DbContext, enabling fast and efficient data processing without complex workarounds. It supports batching, transactions, and custom mappings to give you full control over your data workflows. For tutorials, examples, and documentation visit: https://www.efbox.net
MIFCore.Hangfire.APIETL.SqlServer

ETL for SqlServer.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
3.6.1 2,300 1/6/2025
3.6.0 120 1/6/2025
3.5.2 2,962 12/20/2024
3.5.1 219 11/15/2024
3.5.0 915 10/14/2024
3.4.4 140 9/30/2024
3.4.3 263 9/12/2024
3.4.2 182 9/3/2024
3.4.1 737 7/15/2024
3.4.0 1,763 5/29/2024
3.3.0 2,338 3/14/2024
3.2.0 5,329 1/11/2024
3.1.0 4,485 11/24/2023
3.0.2 3,318 10/6/2023
3.0.1 641 9/27/2023
3.0.0 1,414 7/11/2023
2.7.1 1,348 6/5/2023
2.7.0 1,267 4/4/2023
2.6.8 2,553 2/9/2023
2.6.7 1,281 1/9/2023
2.6.6 2,939 10/28/2022
2.6.5 1,744 10/19/2022
2.6.4 1,416 10/10/2022
2.6.3 1,584 9/26/2022
2.6.2 1,798 7/8/2022
2.6.1 2,038 5/19/2022
2.6.0 1,804 3/22/2022
2.5.2 4,659 12/30/2021
2.5.1 1,309 10/8/2021
2.5.0 1,106 9/27/2021
2.4.4 2,323 8/4/2021
2.4.3 1,205 7/16/2021
2.4.2 1,135 7/2/2021
2.4.1 6,075 5/17/2021
2.4.0 1,056 4/13/2021
1.3.1 2,046 2/16/2021
1.3.0 1,416 1/11/2021
1.2.5 1,877 12/21/2020
1.2.4 1,179 12/15/2020
1.2.3 1,249 12/4/2020
1.2.0 1,599 11/17/2020
1.1.2-beta 791 10/28/2020
1.1.1 1,912 9/24/2020
1.1.0 1,770 9/3/2020
1.0.4 1,236 7/14/2020
1.0.3 1,057 7/9/2020
1.0.2 1,306 7/1/2020
1.0.1 1,244 6/19/2020
1.0.0 1,368 6/10/2020