

Informatica Intelligent Data Management Cloud (IDMC) and Microsoft Azure Logic Apps both serve the competitive integration and data management market. While IDMC is unmatched in its comprehensive data management capabilities, Logic Apps distinguishes itself through its efficiency and ease of development.
Features: IDMC shines with master data management, data quality, and governance capabilities. It provides seamless integration across modules, with users appreciating its high performance and flexibility. Logic Apps stands out for its user-friendly interface and rapid solution development capabilities, featuring a drag-and-drop UI and vast connector availability for easy integration.
Room for Improvement: IDMC could improve its SAP integration, add more preconfigured rules, and enhance data stewardship features. Users also pointed out the need for better address validation and a more intuitive GUI. Azure Logic Apps requires enhancements in cost efficiency, scalability, and documentation, as users find some connectors complex and support limited, prompting calls for more connectors and expanded AI features.
Ease of Deployment and Customer Service: IDMC offers flexibility through multi-environment deployment options like on-premises and private clouds. It receives praise for reliable customer service, though the response time could be quicker. Azure Logic Apps benefits from seamless integration within the Azure ecosystem and straightforward public cloud deployment, but its customer service is critiqued for needing more timely and effective support.
Pricing and ROI: IDMC's sophisticated features justify its higher pricing, presenting challenges for smaller enterprises despite flexible subscription and licensing options. Concerns about cost transparency exist. In contrast, Logic Apps is lauded for its cost-effectiveness and transparent pay-as-you-go model, providing significant ROI through reduced development time and operational efficiency. However, users express concerns about potential hidden costs in high usage scenarios.
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.
You can't generalize it because it depends on how many connectors you use, how many workflows you build, what scalability is required, and the amount of data to be ingested.
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.
It is easy to reach out to Microsoft for support if needed.
The support is good, with multiple options like developer support and 24x7 support.
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.
It's just clicks away, and you can also set it up as auto-scaling.
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.
I have never seen it misperforming.
We have had it implemented for two years without issues.
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.
Microsoft Azure Logic Apps needs further development in consistency and durability, particularly for handling larger data volumes beyond 1 MB.
The business rules engine is still not fully developed, and it would be very helpful to see improvements here.
My experience with their pricing indicates that pricing is complicated to understand and costly.
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.
There are no upfront licensing costs or contracts you are bound to.
Microsoft provides a reliable solution, but it is considered expensive compared to others.
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.
The workflow in Logic Apps enables integrating multiple applications.
Microsoft Azure Logic Apps has many features that are beneficial for workflow automation, such as running automation tasks and facilitating communication between different interfaces.
Even for Blob storage, we use tokenized endpoints that give us access to this storage account, making it secure.
| Product | Market Share (%) |
|---|---|
| Microsoft Azure Logic Apps | 8.7% |
| Informatica Intelligent Data Management Cloud (IDMC) | 5.2% |
| Other | 86.1% |


| Company Size | Count |
|---|---|
| Small Business | 51 |
| Midsize Enterprise | 27 |
| Large Enterprise | 153 |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 2 |
| Large Enterprise | 24 |
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.
Connect your business-critical apps and services with Azure Logic Apps, automating your workflows without writing a single line of code.
We monitor all Integration Platform as a Service (iPaaS) 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.