General Availability Release

mssql‑python is now Generally Available (GA) as Microsoft’s official Python driver for SQL Server, Azure SQL, and SQL databases in Fabric. This release delivers a production‑ready, high‑performance, and developer‑friendly experience.

What makes mssql-python different?

Powered by DDBC – Direct Database Connectivity

Most Python SQL Server drivers, including pyodbc, route calls through the Driver Manager, which has slightly different implementations across Windows, macOS, and Linux. This results in inconsistent behavior and capabilities across platforms. Additionally, the Driver Manager must be installed separately, creating friction for both new developers and when deploying applications to servers.

At the heart of the mssql-python driver is DDBC (Direct Database Connectivity) — a lightweight, high-performance C++ layer that replaces the platform’s Driver Manager.

Key Advantages:

Provides a consistent, cross-platform backend that handles connections, statements, and memory directly.
Interfaces directly with the native SQL Server drivers.
Integrates with the same TDS core library that powers the ODBC driver.

Why is this architecture important?

By simplifying the architecture, DDBC delivers:

Consistency across platforms
Lower function call overhead
Zero external dependencies on Windows (pip install mssql-python is all you need)
Full control over connections, memory, and statement handling

Built with PyBind11 + Modern C++ for Performance and Safety

To expose the DDBC engine to Python, mssql-python uses PyBind11 – a modern C++ binding library.

PyBind11 provides:

Native-speed execution with automatic type conversions
Memory-safe bindings
Clean and Pythonic API, while performance-critical logic remains in robust, maintainable C++.

What's new in v1.13.0

Enhancements

ODBC Driver Now Ships Exclusively via mssql-python-odbc - The libs/ fallback introduced in v1.12.0 has been removed. mssql-python now hard-depends on mssql-python-odbc==18.6.2.1; pip install mssql-python still Just Works and transparently pulls the driver package. Wheels are smaller and driver binaries are managed independently (#693).
Apache Arrow Bulk Copy - New Cursor.bulkcopy_arrow(table_name, source) method for high-performance bulk loading from pyarrow.Table, RecordBatch, or any object exposing the Arrow C Data Interface, avoiding Python row materialization. The classic bulkcopy() now raises TypeError for Arrow inputs and steers users to the new method (#665).
token_provider= Parameter for Azure Identity - connect() now accepts a token_provider object with a .get_token(scope) method, enabling DefaultAzureCredential, AzureCliCredential, ManagedIdentityCredential, and any custom credential from azure-identity. Bulk copy re-acquires a fresh token per operation. Mutually exclusive with Authentication= in the connection string (#603).
Identity-Aware Connection Pooling with Token-Expiry Refresh - The pool now keys on the security context (connection string + identity discriminator) so a connection authenticated as user A can never be handed to user B. Token acquisition is deferred to pool misses, and pooled connections whose token is within 5 minutes of expiry are refreshed automatically (#660).

Bug Fixes

Silent Zero-Row executemany Batches on Late NULLs - Fixed numeric array parameter binding paths (TINYINT / SMALLINT / INT / FLOAT) that left indicator slots uninitialized when a NULL appeared partway through the batch, causing the batch to insert zero rows without raising (#702, issue #670).
SQL_WVARCHAR Output Converter Applied to Non-String Columns - The legacy SQL_WVARCHAR catch-all no longer runs against INT / DECIMAL / DATE columns. Registering a single SQL_WVARCHAR converter used to mangle every non-string column value; the fallback is now gated on str/bytes mapped types, matching Row._apply_output_converters (#692, issue #691).
Integer-Keyed Output Converters Now Fire - Connection.add_output_converter(SQL_DECIMAL, ...) and any other integer ODBC SQL type code as a key now dispatch correctly. Previously the converter dictionary was keyed only by Python type, so integer-keyed registrations were silently stored but never invoked, diverging from pyodbc and from the driver's own documentation. Integer keys take precedence over Python-type keys, and SQL_DECIMAL vs SQL_NUMERIC are dispatched distinctly (#690, issue #684).
RecordBatchReader.Close() for Arrow Result Sets - Cursor.arrow_reader() now returns a wrapped reader whose .close() stops fetching, releases the server-side cursor, resets cursor state, and leaves the parent cursor usable. Supports idempotent close and context-manager usage (#644, issue #643).
AttributeError on Partially-Initialized Cursor Cleanup - Cursor.__init__ now sets self.closed = False and self.hstmt = None before any code that can raise, close() defends with getattr(self, "closed", True), and __del__ uses the correct sys.is_finalizing() guard, so half-constructed cursors no longer emit unraisable exceptions during garbage collection (#646, issue #642).

For more information, please visit the project link on Github: https://github.com/microsoft/mssql-python

If you have any feedback, questions or need support please mail us at mssql-python@microsoft.com.

What's Next

As we continue to refine the driver and add new features, you can expect regular updates, optimizations, and bug fixes. We encourage you to contribute, provide feedback and report any issues you encounter, as this will help us improve the driver.

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mssql-python 1.13.0

General Availability Release

What makes mssql-python different?

Powered by DDBC – Direct Database Connectivity

Why is this architecture important?

Built with PyBind11 + Modern C++ for Performance and Safety

What's new in v1.13.0

Enhancements

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SHA256	`35a70b18e748297b20e49f7b8bd194c543f984912101d6824156a9ae08789bbd`
MD5	`f765d687e94c555256c0132cfd148639`
BLAKE2b-256	`58c0c54af965bc86ab17579888c948a020ca139bd3d253f0024bc72fb1e65115`