

Informatica Intelligent Data Management Cloud and IBM BPM are key players in the data management and business process management sectors. Informatica seems to have the upper hand due to its comprehensive data integration services and user-friendly cloud platform.
Features: Informatica Intelligent Data Management Cloud integrates Master Data Management, data quality, and data integration with support for multiple domains and flexible architectures. It offers data cleansing, address validation, and ETL capabilities. IBM BPM focuses on process orchestration and execution, providing robust integration capabilities and simulation features for managing business processes.
Room for Improvement: Informatica could improve SAP integration, streamline its interface, and enhance its preconfigured business rules and services. There's also a need for improved data stewardship and a better GUI. IBM BPM is complex and resource-intensive with high licensing costs and could benefit from more intuitive interfaces and streamlined integration with newer technologies.
Ease of Deployment and Customer Service: Informatica delivers flexibility with its robust cloud infrastructure and user-friendly service experience, complemented by commendable customer service. IBM BPM, while offering both on-premises and cloud options suitable for larger enterprises, requires significant IT resources but provides solid customer support.
Pricing and ROI: Informatica's pricing is noted for being high with a range of licensing models; however, it provides strong ROI through efficient data integration. IBM BPM is expensive, mainly suited for larger enterprises, and offers ROI through improved process management and efficiency, although the initial investment is significant.
Leadership prefers to utilize third-party tools, such as Snowflake, which has both storage and ELT features.
The stability and performance remain issues.
Compared to Collibra Catalog, where the value is noticeable within six months.
The customer service is outstanding.
We had a contract that provided on-site support, which was very satisfactory.
On a scale from 1 to 10, support deserves a rating of 7 to 8.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
Even after going out of service support, they still reached back to me whenever I raised tickets.
We expect more responsive assistance because they have the expertise since Informatica is their tool, but I don't see enough expertise on the Informatica support side.
The solution has scalability issues; on a scale, I would rate it at eight out of ten.
The architecture of the solution offers scalability; we can scale both vertically and horizontally.
I found IBM BPM to be scalable to a certain level but it struggled with large volumes of concurrent transactions.
I have used the product over multiple systems and was able to write reports for large data sets without any performance issues.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
There are many options available, and the licensing model is quite good, supporting our needs effectively.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
There are substantial stability issues with Informatica Cloud Data Quality on the cloud.
I find the stability to be good, with occasional restarts required every two to three months due to glitches.
IBM BPM also lacks smaller solutions, so I must purchase multiple solutions to start with workflows and applications.
Technologies evolve day by day, especially with the emergence of artificial intelligence and generative AI models.
There are negative aspects, such as IBM BPM being quite heavy and not lightweight, and the licensing cost is higher, which has caused some companies to shift away.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
The current solution requires code-writing and tweaking, while other solutions offer material-level matches.
If the development interface could be optimized to have fewer modules, it would be greatly beneficial.
SAP is more expensive, but IBM BPM is very expensive.
It ranges from a quarter million to a couple of million a year.
Informatica Intelligent Cloud Services is affordable for my specific use cases, with the pricing being rated three or four on a scale where one is very cheap.
Regarding pricing, compared to other tools I have worked with, Informatica offers competitive pricing, which I find not high in terms of starting strategy.
The integration capabilities of IBM BPM are excellent.
Coordination across data silos is effective, and IBM BPM can be used for that purpose.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
The connectors serve as the main functionality, making data integration processes more efficient by saving time and effort.
We could run data quality rules as part of Service Bus, which ensured the integrity of customer information before it was entered into our database.
| Product | Market Share (%) |
|---|---|
| IBM BPM | 4.1% |
| Informatica Intelligent Data Management Cloud (IDMC) | 1.3% |
| Other | 94.6% |


| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 19 |
| Large Enterprise | 72 |
| Company Size | Count |
|---|---|
| Small Business | 51 |
| Midsize Enterprise | 27 |
| Large Enterprise | 153 |
IBM BPM is a business process management tool that provides a robust set of tools to author, test, and deploy business processes, as well as full visibility and insight to managing those business processes. The solution provides tooling and run time for process design, execution, monitoring, and optimization, along with basic system integration support. To support various levels of complexity and involvement with business process management, there are two different editions of the product: IBM BPM and IBM BPM Express.
IBM BPM Features
IBM BPM has many valuable key features. Some of the most useful ones include:
IBM BPM Benefits
There are many benefits to implementing IBM BPM. Some of the biggest advantages the solution offers include:
Reviews from Real Users
IBM BPM is a solution that stands out when compared to many of its competitors. Some of its major advantages are that it’s good for developing complex apps, is robust, and has helpful team management and process performance features.
Zoran C., Owner/CEO at IT SPHERE, says, “It is perfect if you have to develop complex apps without much coding (only java script). It is also good if you don't have much IT resources in your company and would like to involve business analysts in the process of developing apps. My opinion is that it can do about 50% of all developers' work.”
Suhas V., BPM Architect at GBM, mentions, “Overall the solution is robust and has the ability to integrate with any product for complex workflows."
A BPM Consultant at a financial services firm comments, "Some of the features that I like the most are team management and process performance. They are both very useful and very powerful with regard to the workflow."
A Digital Banking & Innovation Director at a financial services firm expresses, “The processing functionality makes it easy to change processes and workflows easily.”
Informatica Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.
IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user empowerment, delivering agility, scalability, and security in data governance. Despite its strengths, areas like ease of use, SAP integration, and reporting could benefit from enhancements. Connectivity issues and workflow complexities are noted, needing improvements in performance, support, and licensing cost. Users demand expanded ETL capabilities, real-time processing, and broader data source support to address growing data needs.
What are the key features of IDMC?In industries such as banking, healthcare, and telecom, IDMC is implemented for data integration, cloud migration, and enhancing data quality. Its capabilities are crucial for metadata management, lineage tracking, and real-time processing, ensuring high data quality and streamlined operations.
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