Devart Python Connectors

Devart Python Connector is a reliable connectivity solution for accessing database servers and cloud services from Python applications to perform create, read, update, and delete operations on stored data. The solution fully implements the Python DB API 2.0 specification and is distributed as a wheel package for Windows, macOS, and Linux.

The solution enables you to establish a direct connection to relational and non-relational databases through TCP/IP, eliminating the need for the database client libraries. Cloud data sources are accessed through HTTPS.

  • Full conformance to the Python DB API 2.0 specification
  • Support for Python versions from 3.7 to 3.12
  • Direct connection without the database client libraries
  • Support for the ANSI SQL syntax in all connectors
  • Available for Windows, macOS, and Linux

Python Data Connectors


Easy deployment and high performance

High Performance

A direct connection to SQL and NoSQL databases through TCP/IP without the database client libraries. Real-time data caching and query execution using the embedded SQL database engine to access data in cloud services.

Cost-effective deployment

Fast Deployment

If your Python application must be deployed on multiple user workstations, you don't have to supply the database client library for every user since our connectors support a direct connection.

Secure communication

Secure Communication

Support for encrypted connections using SSL/TLS, SSH, and HTTP/HTTPS tunneling.

Platform support

Platform Support

Python connectors are available for Windows, macOS, and Linux, both 32-bit and 64-bit.

Unicode-compliant connector

Unicode-Compliant Connector

Unicode-compliant connectors let you retrieve and update multilingual data, regardless of its character encoding (Chinese, Cyrillic, Hebrew, and more) in any language environment.

Data types support

Data Types Support

Our connectors support all database/cloud service and Python data types. They also offer additional options to control data type mapping between the data source and Python data types.

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