apache-airflow-providers-informatica
Provider package apache-airflow-providers-informatica for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you run Apache Airflow >=3.0.0 and need to orchestrate Informatica workflows. The package is production-stable, actively maintained, has no known vulnerabilities, and integrates cleanly into Airflow's provider ecosystem. Install it only if you have an Informatica instance to connect to; otherwise it is unnecessary.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Apache Airflow >=3.0.0 and Python >=3.10; Informatica instance credentials and connectivity must be configured separately.
- Low install friction with a pure-Python wheel.
- Requires Apache Airflow >=3.0.0 and three other provider packages; the project is actively maintained with recent releases.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in commercial and open-source projects with minimal restrictions; attribution required.
last release 2026-06-22 (53 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 219,026 downloads/mo, #9,330 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-informatica
from airflow.providers.informatica.operators import InformaticaOperator
task = InformaticaOperator(task_id='run_informatica_job')- What specific Informatica versions or editions are supported by this provider
- Whether the provider supports both cloud and on-premises Informatica deployments
- What authentication methods are available (API key, username/password, OAuth, etc.)
What it is and what it does
This is an Apache Airflow provider package that adds Informatica integration capabilities to Airflow workflows. It supplies operators and hooks that allow you to orchestrate Informatica jobs and tasks as part of Airflow DAGs, enabling you to coordinate Informatica ETL processes alongside other data pipeline steps.
The package depends on Apache Airflow >=3.0.0, two other Airflow provider packages (common-compat and http), and sqlglot for SQL parsing. It is classified as production-stable and supports Python 3.10 through 3.14. The package is maintained as part of the main Apache Airflow project and receives regular updates.
Use it for
- Trigger Informatica jobs from Airflow DAGs as part of larger data pipelines
- Monitor Informatica task execution and integrate results into Airflow workflows
- Coordinate Informatica ETL processes with other data sources and transformations in Airflow
- Build multi-step data workflows that combine Informatica jobs with Airflow operators
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you run Apache Airflow >=3.0.0 and need to orchestrate Informatica workflows.
The package is production-stable, actively maintained, has no known vulnerabilities, and integrates cleanly into Airflow's provider ecosystem. Install it only if you have an Informatica instance to connect to; otherwise it is unnecessary.
Install
apache-airflow-providers-informatica on PyPI
Before you install
Low install friction with a pure-Python wheel. Requires Apache Airflow >=3.0.0 and three other provider packages; the project is actively maintained with recent releases.
Requires Apache Airflow >=3.0.0 and Python >=3.10; Informatica instance credentials and connectivity must be configured separately.
License in practice
Apache-2.0 permissive license allows use in commercial and open-source projects with minimal restrictions; attribution required.
Quickstart
pip install apache-airflow-providers-informatica
from airflow.providers.informatica.operators import InformaticaOperator
task = InformaticaOperator(task_id='run_informatica_job')Verify before relying
- What specific Informatica versions or editions are supported by this provider
- Whether the provider supports both cloud and on-premises Informatica deployments
- What authentication methods are available (API key, username/password, OAuth, etc.)
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 packagesapache-airflowapache-airflow-providers-common-compatapache-airflow-providers-httpsqlglot |
| Maintenance | Actively maintained 53 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 219,026 / month, #9,330 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_informatica-0.2.0-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 › “airflow informatica provider”
- apache-airflow-providers-informaticaProvides Apache Airflow integration operators and hooks for…
- apache-airflow-providers-common-ioProvides common I/O utilities and operators for Apache Airflow…
- apache-airflow-providers-sqliteIntegrates SQLite databases with Apache Airflow as a provider…
Give your agent the search over MCP, or paste the wish link into any chat.
More Monitoring packages
Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.
Provides generated Python code for OpenTelemetry semantic conventions, enabling standardized attribute naming and constant definitions for instrumentation and telemetry collection.
Install it if you are using OpenTelemetry and want to follow semantic conventions correctly.
Provides the reference implementation of the OpenTelemetry API for collecting and exporting traces, metrics, and logs from Python applications.
Provides the abstract API and interfaces for OpenTelemetry instrumentation in Python, defining how to emit traces, metrics, and logs without tying code to a specific SDK implementation.
Exports OpenTelemetry observability data to an OpenTelemetry Collector using Protobuf-encoded messages over HTTP.
Install it if you are using OpenTelemetry in Python and need to send data to a Collector over HTTP.
Provides automatic instrumentation commands and programmatic APIs to inject distributed tracing into Python applications without code changes, detecting and instrumenting packages used by your program.
Install it if you need distributed tracing without code changes and have compatible instrumented packages in your environment.
See also apache-airflow-providers-apache-livy · apache-airflow-providers-zendesk · apache-airflow-providers-pgvector · apache-airflow-providers-common-ai · airflow-provider-great-expectations · apache-airflow-providers-odbc · apache-airflow-providers-apache-impala · apache-airflow-providers-asana · apache-airflow-providers-apache-druid · apache-airflow-providers-atlassian-jira