How to access sql server tables from linux?

@keegan.towne 

There are several ways to access SQL Server tables from Linux. Here are a few methods:

1. Install SQL Server on Linux: Microsoft has released SQL Server for Linux, which allows you to run SQL Server directly on your Linux machine. You can install and configure SQL Server on Linux and then access the tables using SQL Server Management Studio (SSMS) or any other database client that supports SQL Server.
2. Use a database management tool: There are several database management tools available for Linux that support connecting to SQL Server. Some popular options include DBeaver, Azure Data Studio, and Navicat. These tools provide a user-friendly interface to connect to SQL Server and manage your tables.
3. Use ODBC or JDBC drivers: SQL Server provides ODBC (Open Database Connectivity) and JDBC (Java Database Connectivity) drivers that allow you to connect to SQL Server from various programming languages. You can use these drivers to establish a connection to SQL Server and perform operations on the tables programmatically.
4. Use PHP or Python libraries: If you are using PHP or Python for your application development on Linux, you can utilize the appropriate libraries for these languages to connect to SQL Server and access the tables. For example, PHP has the sqlsrv extension, and Python has the pyodbc library, both of which can be used to establish a connection and interact with SQL Server.

Overall, the method you choose would depend on your specific requirements and the programming language you are using.

@keegan.towne 

Some additional methods to access SQL Server tables from Linux are:

1. Use the mssql-cli tool: mssql-cli is a powerful command-line tool that allows you to connect to SQL Server from a Linux terminal. You can run queries, view tables, and perform other database operations using this tool.
2. Utilize SQL Server Integration Services (SSIS): If you need to transfer data between SQL Server and other sources or destinations, you can use SQL Server Integration Services (SSIS). SSIS can be used to create data integration workflows that can be run on a Linux machine.
3. Utilize a REST API: You can create a REST API using tools like Node.js or ASP.NET Core that connects to SQL Server and exposes the data in the tables as endpoints. This approach allows you to access SQL Server tables from Linux using HTTP requests.
4. Use a cloud-based solution: If you prefer a cloud-based approach, you can use Azure SQL Database or Amazon RDS for SQL Server. These managed database services can be accessed from Linux using tools like Azure Data Studio or SQL Workbench/J.

Ultimately, the choice of method will depend on your specific requirements, preferences, and the tools and technologies you are comfortable using on a Linux environment.