turbodbc

Highlights:

• Official Windows support (64 bit, Python 3.5 and 3.6) including automatic testing and upload of binary wheels
• New cursor.fetchnumpybatches() method allows to iterate over batches of NumPy arrays

For more details, please have a look at the changelog

Highlight:

• Added options to control automatic commit behavior

For more details, please have a look at the changelog

Highlight:

• New built-in Apache Arrow support for retrieving result sets via cursor.fetchallarrow()

For more details, please have a look at the changelog

Highlight:

• New cursor method executemanycolumns() accepts NumPy columns for extra-speedy inserts without intermediate conversion of numbers, etc. into Python objects.

For more details, please have a look at the changelog

Highlights:

• Large decimals with more than 18 digits can be retrieved as 64-bit data types
• Size of large VARCHAR fields can be limited
• executemanycolumns() supports datetime64[ns] for better pandas integration

Please see the changelog for more details.