azure-kusto-ingest
Kusto Ingest Client
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later and valid Azure Kusto cluster credentials.
- Low install friction with a pure Python wheel.
- Actively maintained as of 2026-05-06 with recent activity (last commit 2026-08-13).
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-05-06 (100 days) · last repo commit 2026-08-13 · 204 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 10,407,169 downloads/mo, #1,455 on PyPI
Alternatives
Verify before relying
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)- 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.
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 on it.
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
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.
Requires Python 3.9 or later and valid Azure Kusto cluster credentials.
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)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
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesazure-kusto-dataazure-storage-blobazure-storage-queuetenacity |
| Maintenance | Actively maintained 100 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 10,407,169 / month, #1,455 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9 |
Evidence: azure_kusto_ingest-6.0.4-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “azure kusto data ingest”
- azure-kusto-ingestIngest data into Azure Kusto clusters from files and blob storage…
- azure-mgmt-kustoManages Azure Kusto clusters, databases, and data connections through…
- azure-kusto-dataQuery and interact with Microsoft Azure Kusto clusters from Python…
Give your agent the search over MCP, or paste the wish link into any chat.
More Database packages
psycopg2-binary is a PostgreSQL database adapter for Python that implements the DB API 2.0 specification, enabling Python applications to connect to and query PostgreSQL databases with thread-safe concurrent operations.
Python client library for connecting to and executing commands against Redis key-value stores, supporting both synchronous and asynchronous operations.
Install it if your application needs to interact with Redis; the only prerequisite is a running Redis server instance.
YDB Python SDK is the official client library for connecting to and querying YDB databases from Python applications.
Install it if you need to connect Python applications to YDB databases.
Connects Python applications to Snowflake data warehouses using the DB API 2.0 specification, enabling SQL queries, data transfers, and warehouse operations.
sqlparse tokenizes SQL text into a tree of statements, clauses, and expressions, and provides functions to split scripts, format queries, and inspect parsed tokens without validating dialect or syntax.
Install it if you need to manipulate, format, or analyze SQL text programmatically.
Provides base adapter protocols and shared functionality that database adapters use to integrate with dbt-core, handling connections, dialect translation, relation caching, and core interface management.
See also azure-kusto-data · sonic-client · databricks-zerobus-ingest-sdk · azure-mgmt-kusto · openmetadata-ingestion · ingestr · humiolib · azure-monitor-ingestion · unstructured-ingest · tinybird-python-sdk