Informatica IDMC and Apache Airflow are leading players in the data management and workflow orchestration market. Informatica IDMC holds an upper hand in MDM capabilities and comprehensive feature offerings, while Apache Airflow excels in flexibility due to its open-source nature.
Features: Informatica IDMC stands out with its robust data integration, quality management, and flexible task-based workflow engine. Key features include data cleansing and validation, integration with PowerCenter, and support for flexible architectures. Apache Airflow is recognized for its flexibility in defining workflows programmatically using Python. It provides powerful orchestration of data pipelines and is highly adaptable due to its open-source nature.
Room for Improvement: Informatica IDMC could enhance integration, particularly with SAP, introduce preconfigured business rules, and improve user stewardship and reporting interfaces. Apache Airflow faces challenges with handling cyclic workflows and state management, requiring external state repositories, and needs better documentation and support for more programming languages.
Ease of Deployment and Customer Service: Informatica IDMC provides versatile deployment options across on-premises, hybrid, and public cloud environments, with responsive customer service although sometimes delayed. Apache Airflow, while easily deployable, heavily relies on user expertise and community-driven support, lacking formal customer service like Informatica.
Pricing and ROI: Informatica IDMC is noted for higher pricing due to its extensive features and scalability, targeted at large enterprises, potentially limiting small business adoption. Apache Airflow benefits from a cost advantage as an open-source solution, eliminating licensing fees and appealing to budget-conscious organizations, though ROI depends on effective open-source utilization.
Apache Airflow is an open-source workflow management system (WMS) that is primarily used to programmatically author, orchestrate, schedule, and monitor data pipelines as well as workflows. The solution makes it possible for you to manage your data pipelines by authoring workflows as directed acyclic graphs (DAGs) of tasks. By using Apache Airflow, you can orchestrate data pipelines over object stores and data warehouses, run workflows that are not data-related, and can also create and manage scripted data pipelines as code (Python).
Apache Airflow Features
Apache Airflow has many valuable key features. Some of the most useful ones include:
Apache Airflow Benefits
There are many benefits to implementing Apache Airflow. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the Apache Airflow solution.
A Senior Solutions Architect/Software Architect says, “The product integrates well with other pipelines and solutions. The ease of building different processes is very valuable to us. The difference between Kafka and Airflow, is that it's better for dealing with the specific flows that we want to do some transformation. It's very easy to create flows.”
An Assistant Manager at a comms service provider mentions, “The best part of Airflow is its direct support for Python, especially because Python is so important for data science, engineering, and design. This makes the programmatic aspect of our work easy for us, and it means we can automate a lot.”
A Senior Software Engineer at a pharma/biotech company comments that he likes Apache Airflow because it is “Feature rich, open-source, and good for building data pipelines.”
Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.
IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.
What are the most important features?
What benefits and ROI should be considered?
Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.
We monitor all Business Process Management (BPM) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
