Informatica IDMC and IBM Business Automation Workflow are key contenders in the data management and automation category. Informatica appears to have the upper hand with extensive data integration and quality modules, while IBM excels in process automation and modeling.
Features: Informatica IDMC is praised for its comprehensive data integration, master data management, and quality modules. Its flexible and adaptable architecture is a key benefit, complemented by powerful data cleansing tools like AddressDoctor. IBM Business Automation Workflow offers excellent process automation capabilities, robust business process modeling, and modular process management, attracting enterprises focused on workflow automation.
Room for Improvement: Users often criticize Informatica for high costs and a less intuitive user interface, seeking better ETL capabilities and pre-built integrations. IBM's challenges include complex setup and integration processes and a costly pricing model, though justified by its features. There's a need to improve IBM's ecosystem for seamless integration and better user guidance.
Ease of Deployment and Customer Service: Informatica provides diverse deployment options, including on-premises and cloud capabilities, which offers flexibility. However, customer feedback indicates mixed experiences with technical support, citing variable response times. IBM supports on-premise and hybrid environments, and customers are generally satisfied with support, yet suggest improvements in documentation and setup guidance.
Pricing and ROI: Informatica IDMC is viewed as a costly investment, with pricing based on data volume and processing units. Despite this, it provides a strong return on investment through data management and integration efficiencies. IBM Business Automation Workflow is also expensive but justified by its comprehensive automation features, offering significant value in productivity and efficiency enhancements.
Initially performed manually, workflows now provide a better user experience and increased efficiency.
We see return on investment from this solution in terms of time; time reduction or cost benefits is what we are getting very good results from.
If the solution is readily available to IBM support team, they provide it instantly.
IBM provides long-term support and maintains a traditionally good customer-vendor relationship.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
The response time is pretty good because we have someone in-house, who is an expert from Informatica, in our team who can help us with any sort of queries usually.
If they are unsure how to resolve an issue, they keep customers informed, providing updates about progress and ensuring communication with the product team to deliver accurate responses.
We are implementing load balancing and horizontal scalability.
We can manage the license usage and scale our environment while optimizing license use.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
I find Informatica Intelligent Data Management Cloud (IDMC) to be a sustainable and scalable solution.
Outside of these maintenance periods, the environment is quite stable.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
Many developments are focused on AI, LLM models, and data science.
IBM Business Automation Workflow could be more intuitive, with more advanced low-code features and services definition.
Code management lacks merging capabilities.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
It is not a cheap license but in line with expectations for such software.
The price of IBM Business Automation Workflow is on the higher side compared to the features it offers.
It ranges from a quarter million to a couple of million a year.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.
The system is fully customizable, very resilient, and fault-tolerant.
It assisted in making users concentrate on the process flow rather than just features.
It offers robust workflow features and, despite being a low-code tool, provides extensive customization options.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
In on-premise, we call it EDC for metadata management, while in cloud-based technologies, it is known as the Metadata Command Center, which serves the same purpose as EDC concerning CDGC.
Product | Market Share (%) |
---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 1.3% |
IBM Business Automation Workflow | 2.1% |
Other | 96.6% |
Company Size | Count |
---|---|
Small Business | 6 |
Midsize Enterprise | 3 |
Large Enterprise | 16 |
Company Size | Count |
---|---|
Small Business | 42 |
Midsize Enterprise | 24 |
Large Enterprise | 134 |
IBM Business Automation Workflow combines business process management and case management capabilities in one workflow solution. It integrates the capabilities of business process and case management into a single workflow offering. It unites information, process, and users to provide a 360-degree view of work to drive more successful optimized business outcomes. IBM Business Automation Workflow on Cloud provides the same capabilities that are offered in the IBM Business Automation Workflow offering, all within a ready-to-use, cloud-based environment that is hosted in IBM Cloud data centers and managed by IBM.
Informatica Intelligent Data Management Cloud (IDMC) integrates data quality, governance, and integration with flexible architecture. It supports multiple domains and a data models repository, delivering AI-enhanced data management across cloud-native platforms.
IDMC provides seamless integration and governance capabilities that support diverse data environments. Its comprehensive suite includes customizable workflows, data profiling, and metadata management. AI features, a data marketplace, and performance scalability enhance data management. While its interface poses challenges, its robust matching and cloud-native integration facilities are essential for complex data ecosystems. Users employ IDMC for connecting systems, ensuring data quality, and supporting data compliance but seek better pre-built rules, services, and improved connectivity, especially with platforms like Salesforce. Licensing, cost, and added AI functionalities are areas for potential refinement.
What are the key features of IDMC?IDMC is implemented across industries for data integration, metadata management, and governance. Organizations use it to connect systems, migrate data to cloud environments, and maintain data quality. They manage master data and automate business processes, facilitating data lineage and ensuring compliance with privacy regulations.
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