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Azure Functions Python connect to Azure SQL DB

I created an Azure Function with Python and want to write some data into an Azure SQL DB.
If I run the code on my local machine via AZ Function Debugger, everything is working. But when I deploy everything to Azure, I only get a message that there is an error (no additional specific information).
I think this is related to the ODBC Driver?
I'm using the following code to connect and insert data:
with pyodbc.connect('DRIVER='+driver+';SERVER=tcp:'+server+';PORT='+port+';DATABASE='+database+';UID='+username+';PWD='+ password + ";Authentication=ActiveDirectoryPassword", timeout=120) as conn:
with conn.cursor() as cursor:
try:
cursor.execute(data)
except:
logging.error("Can't execute SQL Query!")
I use driver= '{ODBC Driver 17 for SQL Server}' as driver.
I assume that this is missing in Azure? How can this issue be fixed? What is the right approach to connect from Azure Functions to an Azure SQL DB via Python?

It seems the ODBC driver is included, it was just poorly documnented:
https://github.com/MicrosoftDocs/azure-docs/issues/54423
There is an example project here:
https://github.com/kevin808/azure-function-pyodbc-MI
The full tutorial including creating the system assigned identity can be found here:
https://techcommunity.microsoft.com/t5/apps-on-azure-blog/how-to-connect-azure-sql-database-from-python-function-app-using/ba-p/3035595
There is currently a SQL Extension under development but it only supports C# at the moment. Python has been requested as an ehancement so you could add your 👍 to the issue so that you could use bindings
https://github.com/Azure/azure-functions-sql-extension/issues/172

Connecting to jTDS Microsoft server with SQLalchemy and Presto

I'm trying to connect to an oldschool jTDS ms server for a variety of different analysis tasks. Firstly just using Python with SQL alchemy, as well as using Tableau and Presto.
Focusing on SQL Alchemy first at the moment I'm getting an error of:
Data source name not found and no default driver specified
With this, based on this thread here Connecting to SQL Server 2012 using sqlalchemy and pyodbc
i.e,
import urllib
params = urllib.parse.quote_plus("DRIVER={FreeTDS};"
"SERVER=x-y.x.com;"
"DATABASE=;"
"UID=user;"
"PWD=password")
engine = sa.create_engine("mssql+pyodbc:///?odbc_connect={FreeTDS}".format(params))
Connecting works fine through Dbeaver, using a jTDS SQL Server (MSSQL) driver (which is labelled as legacy).
Curious as to how to resolve this issue, I'll keep researching away, but would appreciate any help.
I imagine there is an old drive on the internet I need to integrate into SQL Alchemy to begin with, and then perhaps migrating this data to something newer.
Appreciate your time

Pyodbc to SQLAlchemy connection string for Sage 50

I am trying to switch a pyodbc connection to sqlalchemy engine. My working pyodbc connection is:
con = pyodbc.connect('DSN=SageLine50v23;UID=#####;PWD=#####;')
This is what I've tried.
con = create_engine('pyodbc://'+username+':'+password+'#'+url+'/'+db_name+'?driver=SageLine50v23')
I am trying to connect to my Sage 50 accounting data but just can't work out how to build the connection string. This is where I downloaded the odbc driver https://my.sage.co.uk/public/help/askarticle.aspx?articleid=19136.
I got some orginal help for the pyodbc connection using this website (which is working) https://www.cdata.com/kb/tech/sageuk-odbc-python-linux.rst but would like to use SQLAlchemy for it connection with pandas. Any ideas? Assume the issue is with this part pyodbc://

According to this thread Sage 50 uses MySQL to store its data. However, Sage also provides its own ODBC driver which may or may not use the same SQL dialect as MySQL itself.
SQLAlchemy needs to know which SQL dialect to use, so you could try using the mysql+pyodbc://... prefix for your connection URI. If that doesn't work (presumably because "Sage SQL" is too different from "MySQL SQL") then you may want to ask Sage support if they know of a SQLAlchemy dialect for their product.

Using jaydebeapi3 to connect to Apache Phoenix

I have a program, in which I have been using the phoenixdb package developed by Lukas Lalinsky but during the past few days it seems to have become very unstable. I think this is due to the size of the database (as it is constantly growing). By unstable I mean that around half my queries are failing with a runtime exception.
So I have moved on and tried to find a more stable way to connect with my Phoenix "server". Therefore I want to try out a JDBC connection. As far as I have understood Phoenix should have great integration with JDBC.
I do however have problems with understanding how to set up the initial connection.
I read the following Usage section of the JayDeBeApi package, but I don't know what the Driver Class is or where it is located? If I have to download it myself? How to set it up? And so forth.
I was hoping someone in here would know and hopefully explain it in detail.
Thanks!
EDIT:
I've managed to figure out that my connect statement should be something along this:
import jaybedeapi as jdbc
conn = jdbc.connect('org.apache.phoenix.jdbc.PhoenixDriver', ['jdbc:phoenix:<ip>:<port>:', '', ''], '<location-of-phoenix-client.jar>')
However I still don't know where to get my hands on that phoenix-client.jar file and how to reference to it.

I managed to find the solution after having set up a Java project and testing out JDBC in that development environment and getting a successful connection.
To get the JDBC connection working in Java I used the JDBC driver found in the Phoenix distribution from Apache here. I used the driver that matched my Phoenix and HBase versions - phoenix-4.9.0-HBase-1.2-client.jar
Once that setup was completed and I could connect to Phoenix using Java I started trying to set it up using Python. I started a connection to Phoenix with the following:
import jaydebeapi as jdbc
import os
cwd = os.getcwd()
jar = cwd + '/phoenix-4.9.0-HBase-1.2-client.jar'
drivername = 'org.apache.phoenix.jdbc.PhoenixDriver'
url = 'jdbc:phoenix:<ip>:<port>/'
conn = jdbc.connect(drivername, url, jar)
Now I had a successful connection through JDBC to Phoenix using Python. Hope someone else out there can use this question in the future.
I created a cursor using the following and could issue commands like in the following:
cursor = conn.cursor()
sql = """SELECT ...."""
cursor.execute(sql)
resp = cursor.fetchone() # could use .fetchall() or .fetchmany() if needed
I hope this helps someone out there!

Python Connect to Oracle DB

I currently use PYODBC to connect to MS SQL Server and MYSQL, but now need to access an Oracle database as well.
I have Oracle SQL Developer installed on my work comp (but there doesn't seem to be a separate Net Manager client per other SO posts), which I can use to access the DB.
Ideally, I would run what I need to in python, but am having difficulties. As it stands, I have created a linked server object to the Oracle DB in a MS SQL Server DB as a work around, but this isn't ideal.
What do I need to do to get PYODBC (or substitute) to connect to Oracle? Thanks very kindly.

I ran into the same issue where I could connect to a database via Oracle SQL Developer but not via pyodbc. Someone else did most of the database setup, so I wasn't sure of the proper connection parameters. I'll run you through how I was able to connect on a Windows computer.
In the Start Menu I typed "odbc" and selected "Microsoft ODBC Administrator". Under the "System DSN" tab I found my DSN name (we'll call it myDSN) and corresponding driver (mine was "Oracle in OraClient11g_home2"). I also have to specify a username and password for my database so my connection line now looks like this:
cnxn = pyodbc.connect(driver='{Oracle in OraClient11g_home2}', dsn='myDSN', uid='HODOR', pwd='hodor')
Maybe at this point it will work for you, but I still wasn't able to connect. This computer is a mess of 32 and 64 bit drivers so I figured I was pointing to the wrong one. So once again into the Start Menu, where under All Programs I found a folder called "Oracle in OraClient11g_home2" and right under it, one called "Oracle in OraClient11g_home32Bit". I changed my connection line in Python to the following:
cnxn = pyodbc.connect(driver='{Oracle in OraClient11g_home32Bit}', dsn='myDSN', uid='HODOR', pwd='hodor')
And it connected.