azure-data-tables-py
Lets your agent use NoSQL storage in Azure with Python. It's useful for storing and retrieving data quickly, like a large catalog.
What it does
This tool lets you store and retrieve organized information in 'tables' in the cloud. It's like a large digital filing cabinet where you can add, read, change, or delete data.
When to use it
- ✓When you need to store customer data.
- ✓To keep product information in a catalog.
- ✓When logging system activities.
Example of what to ask your AI
“Store the name and email of customer John Doe in the 'customers' table.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You tell the tool what information to store (like a name and email), and it saves it in a specific table. Later, you can ask it to find or modify that data.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill azure-data-tables-pyOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/azure-data-tables-py/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Azure Tables SDK for Python
NoSQL key-value store for structured data (Azure Storage Tables or Cosmos DB Table API).
Installation
pip install azure-data-tables azure-identity
Environment Variables
# Azure Storage Tables
AZURE_STORAGE_ACCOUNT_URL=https://<account>.table.core.windows.net
# Cosmos DB Table API
COSMOS_TABLE_ENDPOINT=https://<account>.table.cosmos.azure.com
Authentication
from azure.identity import DefaultAzureCredential
from azure.data.tables import TableServiceClient, TableClient
credential = DefaultAzureCredential()
endpoint = "https://<account>.table.core.windows.net"
# Service client (manage tables)
service_client = TableServiceClient(endpoint=endpoint, credential=credential)
# Table client (work with entities)
table_client = TableClient(endpoint=endpoint, table_name="mytable", credential=credential)
Client Types
| Client | Purpose |
|---|---|
TableServiceClient |
Create/delete tables, list tables |
TableClient |
Entity CRUD, queries |
Table Operations
# Create table
service_client.create_table("mytable")
# Create if not exists
service_client.create_table_if_not_exists("mytable")
# Delete table
service_client.delete_table("mytable")
# List tables
for table in service_client.list_tables():
print(table.name)
# Get table client
table_client = service_client.get_table_client("mytable")
Entity Operations
Important: Every entity requires PartitionKey and RowKey (together form unique ID).
Create Entity
entity = {
"PartitionKey": "sales",
"RowKey": "order-001",
"product": "Widget",
"quantity": 5,
"price": 9.99,
"shipped": False
}
# Create (fails if exists)
table_client.create_entity(entity=entity)
# Upsert (create or replace)
table_client.upsert_entity(entity=entity)
Get Entity
# Get by key (fastest)
entity = table_client.get_entity(
partition_key="sales",
row_key="order-001"
)
print(f"Product: {entity['product']}")
Update Entity
# Replace entire entity
entity["quantity"] = 10
table_client.update_entity(entity=entity, mode="replace")
# Merge (update specific fields only)
update = {
"PartitionKey": "sales",
"RowKey": "order-001",
"shipped": True
}
table_client.update_entity(entity=update, mode="merge")
Delete Entity
table_client.delete_entity(
partition_key="sales",
row_key="order-001"
)
Query Entities
Query Within Partition
# Query by partition (efficient)
entities = table_client.query_entities(
query_filter="PartitionKey eq 'sales'"
)
for entity in entities:
print(entity)
Query with Filters
# Filter by properties
entities = table_client.query_entities(
query_filter="PartitionKey eq 'sales' and quantity gt 3"
)
# With parameters (safer)
entities = table_client.query_entities(
query_filter="PartitionKey eq @pk and price lt @max_price",
parameters={"pk": "sales", "max_price": 50.0}
)
Select Specific Properties
entities = table_client.query_entities(
query_filter="PartitionKey eq 'sales'",
select=["RowKey", "product", "price"]
)
List All Entities
# List all (cross-partition - use sparingly)
for entity in table_client.list_entities():
print(entity)
Batch Operations
from azure.data.tables import TableTransactionError
# Batch operations (same partition only!)
operations = [
("create", {"PartitionKey": "batch", "RowKey": "1", "data": "first"}),
("create", {"PartitionKey": "batch", "RowKey": "2", "data": "second"}),
("upsert", {"PartitionKey": "batch", "RowKey": "3", "data": "third"}),
]
try:
table_client.submit_transaction(operations)
except TableTransactionError as e:
print(f"Transaction failed: {e}")
Async Client
from azure.data.tables.aio import TableServiceClient, TableClient
from azure.identity.aio import DefaultAzureCredential
async def table_operations():
credential = DefaultAzureCredential()
async with TableClient(
endpoint="https://<account>.table.core.windows.net",
table_name="mytable",
credential=credential
) as client:
# Create
await client.create_entity(entity={
"PartitionKey": "async",
"RowKey": "1",
"data": "test"
})
# Query
…
FAQ
What are PartitionKey and RowKey?
They are like a unique address for each piece of information. PartitionKey groups similar data, and RowKey identifies a specific item within that group.
Can I store any type of information?
You can store text, numbers, dates, booleans (true/false), and other basic data types.
Is it safe to store my data?
Yes, Azure provides security for stored data, but it's important to configure access permissions correctly.
Details
Original description by the author
Azure Tables SDK for Python (Storage and Cosmos DB). Use for NoSQL key-value storage, entity CRUD, and batch operations.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2308
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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