apache-airflow-providers-apache-impala
Provider package apache-airflow-providers-apache-impala for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you run Apache Airflow and need to query or manage Apache Impala databases. The package is actively maintained, has low install friction, carries a permissive license, and integrates cleanly with Airflow's provider ecosystem. No known vulnerabilities. Install only if Impala is part of your data stack.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Apache Airflow >=2.11.0 and Python >=3.10; impyla >=0.22.0,<1.0 must be available.
- Low friction install with active maintenance.
- Requires Apache Airflow >=2.11.0 and impyla >=0.22.0,<1.0.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions.
last release 2026-06-07 (68 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,886,993 downloads/mo, #2,843 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-apache-impala
from airflow.providers.apache.impala.operators.impala import ImpalaOperator
from airflow import DAG
with DAG('impala_query') as dag:
query_task = ImpalaOperator(
task_id='run_impala_query',
sql='SELECT * FROM table_name'
)- Whether optional kerberos or sqlalchemy extras are required for specific use cases
- Performance characteristics when querying large Impala datasets through Airflow
What it is and what it does
This is an Apache Airflow provider package that adds Apache Impala support to Airflow workflows. It supplies operators and hooks that allow you to define, schedule, and execute Impala SQL queries as part of Airflow DAGs, integrating Impala database operations into larger data pipeline orchestrations.
The package depends on impyla for Impala connectivity, plus Airflow's common SQL and compatibility providers. It supports Python 3.10 through 3.14 and is actively maintained as part of the Apache Airflow ecosystem. Optional extras for Kerberos authentication and SQLAlchemy are available for extended functionality.
Use it for
- Schedule and orchestrate regular Impala SQL queries as part of data pipeline DAGs in Airflow
- Integrate Impala data transformations into multi-step workflows alongside other data sources
- Monitor and log Impala query execution within Airflow's centralized task tracking and alerting
- Build data warehouse ETL pipelines that read from or write to Impala tables
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you run Apache Airflow and need to query or manage Apache Impala databases.
The package is actively maintained, has low install friction, carries a permissive license, and integrates cleanly with Airflow's provider ecosystem. No known vulnerabilities. Install only if Impala is part of your data stack.
Install
apache-airflow-providers-apache-impala on PyPI
Before you install
Low friction install with active maintenance. Requires Apache Airflow >=2.11.0 and impyla >=0.22.0,<1.0. Last release 68 days ago with active repository status.
Requires Apache Airflow >=2.11.0 and Python >=3.10; impyla >=0.22.0,<1.0 must be available.
License in practice
Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions.
Quickstart
pip install apache-airflow-providers-apache-impala
from airflow.providers.apache.impala.operators.impala import ImpalaOperator
from airflow import DAG
with DAG('impala_query') as dag:
query_task = ImpalaOperator(
task_id='run_impala_query',
sql='SELECT * FROM table_name'
)Verify before relying
- Whether optional kerberos or sqlalchemy extras are required for specific use cases
- Performance characteristics when querying large Impala datasets through Airflow
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesimpylaapache-airflow-providers-common-compatapache-airflow-providers-common-sqlapache-airflow |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,886,993 / month, #2,843 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/StableEnvironment :: ConsoleEnvironment :: Web EnvironmentFramework :: Apache AirflowFramework :: Apache Airflow :: ProviderIntended Audience :: DevelopersIntended Audience :: System AdministratorsProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: System :: Monitoring |
Evidence: apache_airflow_providers_apache_impala-1.9.3-py3-none-any.whl
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See also apache-airflow-providers-vertica · impyla · apache-airflow-providers-apache-drill · apache-airflow-providers-exasol · apache-airflow-providers-sqlite · apache-airflow-providers-apache-druid · apache-airflow-providers-informatica · apache-airflow-providers-apache-pinot · apache-airflow-providers-odbc · apache-airflow-providers-apache-hive