


Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration.
It also plays a vital role in revenue calculations, net asset valuations, and other key factors that support customer data and investment data pipelines.
We also have the flexibility to submit a feature request to be included as part of the wishlist, potentially becoming a product feature in subsequent releases.
I rate their support as nine on a scale from one to ten.
IBM tech support has allocated dedicated resources, making it satisfactory.
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.
IBM technical support sometimes transfers tickets between different teams due to shift changes, which can be frustrating.
If the job provided suggestions about running this kind of parallel processing and how many virtual nodes are required, it would help.
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.
Informatica PowerCenter is stable and can scale well.
The product is very stable with very few issues encountered in production.
An additional feature I would want to see in the next release is the ability to work on logs, especially machine logs or artificial logs, to pull semi-structured or unstructured data without having to write extensive code in Python and integrate it.
I wonder if it supports other areas, such as cloud environments with open source support, or EdgeShift.
The solution needs improvement in connectivity with big data technologies such as Spark.
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.
Informatica Cloud and its support becomes quite expensive for the organization compared to peers such as SnapLogic or Netezza, which offer lower pricing.
Utilizing more stored procedures from Oracle databases in an easy way would significantly boost performance.
It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades.
Pricing for IBM InfoSphere DataStage is moderate and not much expensive.
The price of Informatica PowerCenter is high, especially for small and medium-sized businesses.
I find that the pricing and licensing for Informatica PowerCenter align with its quality.
I have leveraged IBM InfoSphere DataStage's integration with IBM's Information Server suite, and it is indeed beneficial.
It is straightforward from a design and development perspective, and also for deployment.
IBM InfoSphere DataStage is very scalable, allowing us to extend it according to our processing needs.
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.
It allows a hybrid installation approach, rather than being completely cloud-based or on-premises.
| Product | Market Share (%) |
|---|---|
| Informatica PowerCenter | 6.0% |
| IBM InfoSphere DataStage | 3.5% |
| StreamSets | 1.5% |
| Other | 89.0% |



| Company Size | Count |
|---|---|
| Small Business | 23 |
| Midsize Enterprise | 4 |
| Large Enterprise | 26 |
| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 10 |
| Large Enterprise | 72 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
IBM InfoSphere DataStage is a high-quality data integration tool that aims to design, develop, and run jobs that move and transform data for organizations of different sizes. The product works by integrating data across multiple systems through a high-performance parallel framework. It supports extended metadata management, enterprise connectivity, and integration of all types of data.
The solution is the data integration component of IBM InfoSphere Information Server, providing a graphical framework for moving data from source systems to target systems. IBM InfoSphere DataStage can deliver data to data warehouses, data marts, operational data sources, and other enterprise applications. The tool works with various types of patterns - extract, transform and load (ETL), and extract, load, and transform (ELT). The scalability of the platform is achieved by using parallel processing and enterprise connectivity.
The solution has various versions, catering to different types of companies, which include the Server Edition, the Enterprise Edition, and the MVS Edition. Depending on which version a company has bought, different goals can be achieved. They include the following:
IBM InfoSphere DataStage can be deployed in various ways, including:
IBM InfoSphere DataStage Features
The tool has various features through which users can integrate and utilize their data effectively. The components of IBM InfoSphere DataStage include:
IBM InfoSphere DataStage Benefits
This solution offers many benefits for the companies that utilize it for data integration. Some of these benefits include:
Reviews from Real Users
A data/solution architect at a computer software company says the product is robust, easy to use, has a simple error logging mechanism, and works very well for huge volumes of data.
Tirthankar Roy Chowdhury, team leader at Tata Consultancy Services, feels the tool is user-friendly with a lot of functionalities, and doesn't require much coding because of its drag-and-drop features.
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.
StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.