azure-kusto-ingest

What it is and what it does

Azure Kusto Ingest is Microsoft's official Python client for loading data into Kusto (Azure Data Explorer) clusters. It abstracts the complexity of connecting to Kusto ingest endpoints and handles file and blob uploads with configurable data format detection and ingestion properties. The library uses a queued ingestion model, meaning data is staged and processed asynchronously rather than synchronously, which reduces client-side latency at the cost of eventual consistency.

The package is built on top of azure-kusto-data for connection management and azure-storage-blob and azure-storage-queue for blob and queue operations. It's designed to integrate with Python analytics workflows, including Jupyter notebooks and Spark clusters on Azure Databricks. The library supports Python 3.9 through 3.13 and is actively maintained by Microsoft.

Use it for:

• Ingest CSV or JSON files from local disk into a Kusto table for analytics.
• Load data from Azure Blob Storage into Kusto as part of an ETL pipeline.
• Automate data ingestion from Jupyter notebooks or Databricks notebooks into Kusto clusters.
• Batch upload multiple files to Kusto with consistent schema and format configuration.
• Integrate Kusto data loading into Python-based data processing workflows.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Ingest data into Azure Kusto clusters from files and blob storage using Python, with support for multiple data formats and queued ingestion.

Yes. This is the official Microsoft client for Kusto ingestion in Python, actively maintained, with no known vulnerabilities, low install friction, and permissive licensing. Install it if you need to load data into Azure Kusto clusters from Python; it's the standard choice for that task.

Install

azure-kusto-ingest on PyPI

pip install azure-kusto-ingest

uv add azure-kusto-ingest

poetry add azure-kusto-ingest

Installing azure-kusto-ingest

Before you install

Low install friction with a pure Python wheel. Actively maintained as of 2026-05-06 with recent activity (last commit 2026-08-13). Depends on four Azure SDK packages and tenacity for retry logic.

License in practice

MIT license permits commercial and private use with minimal restrictions; suitable for most projects.

Quickstart

pip install azure-kusto-ingest

from azure.kusto.ingest import QueuedIngestClient, IngestionProperties
from azure.kusto.data import KustoConnectionStringBuilder, DataFormat

ingestion_props = IngestionProperties(database="mydb", table="mytable", data_format=DataFormat.CSV)
client = QueuedIngestClient(KustoConnectionStringBuilder.with_interactive_login("https://ingest-cluster.kusto.windows.net"))
client.ingest_from_file("data.csv", ingestion_properties=ingestion_props)

Requires Python 3.9 or later and valid Azure Kusto cluster credentials.

Verify before relying

• Performance characteristics and throughput limits for large-scale ingestion workloads.
• Whether the library supports all Kusto data formats or only a subset of DataFormat options.
• Retry behavior and failure recovery guarantees provided by tenacity integration.

Package facts

Evidence: azure_kusto_ingest-6.0.4-py3-none-any.whl

Keywords: azure, kusto, ingest, data, analytics

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