

Informatica PowerCenter and Azure Data Factory compete in the ETL and data integration category. Azure Data Factory seems to have the upper hand due to its robust cloud-based features and seamless integration with Azure services.
Features: Informatica PowerCenter supports large data volumes, error handling, and incorporates various transformations, making it ideal for complex ETL processes. It offers scalability and collaborative capabilities across diverse data formats. Azure Data Factory excels with its cloud-based data integration service, offering easy ETL pipeline creation and extensive Azure environment integration. Its flexibility with numerous built-in connectors facilitates efficient data transformation and scalability.
Room for Improvement: Informatica PowerCenter needs modernization for its interface and cost reduction. It also faces challenges with metadata management and handling large ETLs efficiently. Azure Data Factory requires pricing transparency improvements, better integration with third-party services, and enhanced support for complex data processing scenarios. Its documentation and user interface could also be more intuitive.
Ease of Deployment and Customer Service: Informatica PowerCenter, mainly deployed on-premises, demands skilled personnel and can be costly. Its customer service receives mixed reviews. Azure Data Factory is cloud-based, offering easier deployment and scalability. Users find its integration with Azure services straightforward, and Microsoft's customer service infrastructure generally provides reliable support.
Pricing and ROI: Informatica PowerCenter is seen as expensive, suitable for large enterprises with complex data needs, offering significant ROI due to its robustness. Azure Data Factory operates on a pay-as-you-go model, providing a cost-effective solution for scalable cloud-based ETL needs, with some concerns about pricing complexity. It offers good performance and integration value.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
It also plays a vital role in revenue calculations, net asset valuations, and other key factors that support customer data and investment data pipelines.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
The technical support for Azure Data Factory is generally acceptable.
I like the technical support provided by Informatica.
I have occasionally needed to communicate with the technical support of Informatica PowerCenter, especially when raising cases for complex mappings and performance optimization to identify bottlenecks in transformations.
Azure Data Factory is highly scalable.
In the cloud, scaling up and down becomes easy when working with cloud providers.
For scalability, I would rate Informatica PowerCenter between eight to nine.
The solution has a high level of stability, roughly a nine out of ten.
Informatica PowerCenter is stable and can scale well.
The product is very stable with very few issues encountered in production.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
There is a problem with the integration with third-party solutions, particularly with SAP.
With Informatica PowerCenter, I am looking for an AI interface that looks at the underlying data model of the databases and the metadata of the tables, allowing the developer to provide instructions on what data sources to connect to and how to apply or create Transformations.
Utilizing more stored procedures from Oracle databases in an easy way would significantly boost performance.
Informatica Cloud and its support becomes quite expensive for the organization compared to peers such as SnapLogic or Netezza, which offer lower pricing.
The pricing is cost-effective.
It is considered cost-effective.
I find that the pricing and licensing for Informatica PowerCenter align with its quality.
The price of Informatica PowerCenter is high, especially for small and medium-sized businesses.
It connects to different sources out-of-the-box, making integration much easier.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.
The system supports real-time integration, which is essential for many of my tasks.
The functions in Informatica PowerCenter that I have found most valuable are the way it manages the volume of data, the push down optimization, and the performance aspects of it, mostly related to parallelism techniques.
The most valuable features of Informatica PowerCenter that I have found so far include transformations, the ease of connectivity with different source systems, and the parameter files.
| Product | Market Share (%) |
|---|---|
| Azure Data Factory | 4.5% |
| Informatica PowerCenter | 5.3% |
| Other | 90.2% |



| Company Size | Count |
|---|---|
| Small Business | 31 |
| Midsize Enterprise | 19 |
| Large Enterprise | 55 |
| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 10 |
| Large Enterprise | 72 |
Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.
Informatica PowerCenter is a data integration and data visualization tool. The solution works as an enterprise data integration platform that helps organizations access, transform, and integrate data from various systems. The product is designed to support companies in the full cycle of a project, from its initial rollout to critical deployments. Informatica PowerCenter allows developers and analysts to collaborate while accelerating the work process to deploy projects within days instead of months.
The Advanced edition of the product provides an additional real-time engine which allows companies to have always-on enterprise data integration. This ensures seamless collaboration and increment of data lineage visibility and impacts analysis.
The Premium edition of the solution offers an early warning system that detects unexpected behaviors or incorrect utilization of resources in the workflows and alerts companies in the case that these occur. This version of the product also offers automatic data validation, which ensures data accuracy and reduces testing time and expenditure of resources for by up to 90%.
Informatica PowerCenter Features
The product provides users with various features which allow them to execute data integration initiatives such as analytics, data warehousing, data governance, consolidation, and application migration. The features of the solution include:
Informatica PowerCenter Benefits
The benefits of using Informatica PowerCenter include:
Reviews from Real Users
Yahya T., a developer and architect at L'Oreal, says the product is stable, provides good support, and integrating it with other systems is very fast.
Mohamed E., a senior manager for Data management and data governance at a tech company, says PowerCenter is stable, mature, and offers flexibility in building the pipeline and has a drag-and-drop mode because it's GUI-based; technical support is brilliant.
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