azure-data-tables
Microsoft Azure Azure Data Tables Client Library for Python
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained Python client for Azure Tables. It has low install friction, permissive licensing, no known vulnerabilities, and is production-stable. Install it if you need to read, write, or query data in Azure Storage or Cosmos DB tables from Python.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an Azure Storage or Cosmos DB account with valid credentials (shared key, connection string, SAS token, or TokenCredential).
- Low install friction with a pure-Python wheel.
- Actively maintained with recent releases; last commit 2026-08-14.
License · maintenance · safety
MIT License (permissive) — MIT License (permissive). No restrictions on commercial or private use; you may modify and redistribute as long as you include the license notice.
last release 2025-05-06 (465 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 14,434,698 downloads/mo, #1,230 on PyPI
Alternatives
Verify before relying
pip install azure-data-tables
from azure.data.tables import TableServiceClient
from azure.core.credentials import AzureNamedKeyCredential
credential = AzureNamedKeyCredential("account_name", "access_key")
with TableServiceClient(
endpoint="https://<account_name>.table.core.windows.net",
credential=credential
) as client:
properties = client.get_service_properties()- Performance characteristics and throughput limits for large-scale operations.
- Whether all Azure Tables features are fully supported or if some are limited.
- Exact behavior differences between Storage Tables and Cosmos DB Tables endpoints.
What it is and what it does
Azure Tables is a NoSQL storage service that scales to accommodate variable data volumes and supports non-complex data access patterns. The azure-data-tables package is the official Python client library for interacting with Azure Tables, replacing the deprecated azure-cosmosdb-tables package. It allows you to create and manage tables, insert, update, delete, and query entities, and supports multiple authentication methods including shared keys, connection strings, SAS tokens, and Microsoft Entra ID (for Storage endpoints).
The library works with both Azure Storage accounts and Cosmos DB accounts, providing a unified interface for table operations. It requires Python 3.9 or later and depends on azure-core for common Azure SDK functionality, along with yarl, isodate, and typing-extensions for URL handling, ISO date parsing, and type hints. The package is actively maintained, production-stable, and carries no known security vulnerabilities.
Use it for
- Store and retrieve semi-structured data (entities with flexible schemas) at scale in Azure.
- Build applications that need fast key-value lookups or range queries on partition and row keys.
- Migrate from the deprecated azure-cosmosdb-tables package to the current supported client.
- Implement audit logs or time-series data storage with automatic partitioning by date or tenant.
- Access table data from Python applications running on-premises or in cloud environments via HTTP/HTTPS.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is the official, actively maintained Python client for Azure Tables. It has low install friction, permissive licensing, no known vulnerabilities, and is production-stable. Install it if you need to read, write, or query data in Azure Storage or Cosmos DB tables from Python.
Install
azure-data-tables on PyPI
Before you install
Low install friction with a pure-Python wheel. Actively maintained with recent releases; last commit 2026-08-14. Requires Python 3.9 or later and four lightweight runtime dependencies (azure-core, yarl, isodate, typing-extensions).
Requires an Azure Storage or Cosmos DB account with valid credentials (shared key, connection string, SAS token, or TokenCredential).
License in practice
MIT License (permissive). No restrictions on commercial or private use; you may modify and redistribute as long as you include the license notice.
Quickstart
pip install azure-data-tables
from azure.data.tables import TableServiceClient
from azure.core.credentials import AzureNamedKeyCredential
credential = AzureNamedKeyCredential("account_name", "access_key")
with TableServiceClient(
endpoint="https://<account_name>.table.core.windows.net",
credential=credential
) as client:
properties = client.get_service_properties()Verify before relying
- Performance characteristics and throughput limits for large-scale operations.
- Whether all Azure Tables features are fully supported or if some are limited.
- Exact behavior differences between Storage Tables and Cosmos DB Tables endpoints.
Package facts
| License | MIT License permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesazure-coreyarlisodatetyping-extensions |
| Maintenance | Actively maintained 465 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 14,434,698 / month, #1,230 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9 |
Evidence: azure_data_tables-12.7.0-py3-none-any.whl
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See also azure-storage-blob · PowerPlatform-Dataverse-Client · azure-cosmosdb-table · azure-storage-queue · azure-cosmos · azure-mgmt-cosmosdb · pydocumentdb · azure-storage-file-share · agent-framework-azure-cosmos · azure-maps-search