Informatica Intelligent Data Management Cloud (IDMC) and Boomi AtomSphere Flow are competing in the data management solutions category. Based on the feature set and deployment considerations, Informatica IDMC seems superior with a comprehensive offering and flexible pricing, while Boomi stands out for its seamless integration capabilities.
Features: Informatica IDMC is known for its powerful data integration, extensive automation, and comprehensive data governance, suited for complex data environments. Boomi AtomSphere Flow, however, emphasizes rapid application integration and process automation through strong low-code development, offering agility to businesses looking for efficient integration solutions.
Room for Improvement: Informatica IDMC could improve by simplifying its deployment process and reducing reliance on professional services. There's also room for enhancing customer service accessibility. Boomi AtomSphere Flow might enhance its automation depth and broaden its data governance features. Additionally, increasing customizability in integration scenarios can serve even more diverse business needs.
Ease of Deployment and Customer Service: Boomi AtomSphere Flow offers a quick, streamlined deployment process with effective customer support, ensuring fast integration into existing systems. Informatica IDMC's deployment is more intricate, often requiring additional configuration and professional services, which can delay implementation.
Pricing and ROI: Informatica IDMC provides flexible pricing structures but may have higher initial setup costs impacting ROI calculations. In contrast, Boomi AtomSphere Flow is recognized for competitive pricing and swift ROI due to lower initial costs and fast process improvements.
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.
It lacks clarity on how to reach out, write emails, or understand responsiveness.
I have not personally dealt with Boomi's customer support, but my team mentions that support is not good.
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.
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.
I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products.
In terms of scalability, the tool is quite scalable, and I would rate it eight or nine.
I would rate the scalability as nine out of ten, as it effectively scales to meet our clients’ needs.
I find Informatica Intelligent Data Management Cloud (IDMC) to be a sustainable and scalable solution.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
The solution maintains high stability, which makes it reliable.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
It lacks features like the ESQL scripting language found in IBM's, which makes integration transformations easy.
We are particularly interested in exploring AI features more thoroughly, focusing on next-generation enhancements like ChatGPT.
The observability concept in Informatica Intelligent Data Management Cloud (IDMC) needs improvement as the capabilities are not up to the mark compared to the industry.
One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
The pricing is considered a bit expensive yet not excessively so, particularly when compared to similar solutions like MuleSoft.
The pricing is good for a small-scale company like ours, and the licensing cost is reasonable.
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.
We use Boomi for various types of integrations, such as SFTP integration, database integration, Snowflake integration, and we also perform transformations using maps and scripts.
The most valuable features include the ease of designing Boomi flows and the significant cost savings and reduced time to market they offer our clients.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
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.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
Product | Market Share (%) |
---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 1.4% |
Boomi AtomSphere Flow | 0.8% |
Other | 97.8% |
Company Size | Count |
---|---|
Small Business | 3 |
Midsize Enterprise | 1 |
Large Enterprise | 3 |
Company Size | Count |
---|---|
Small Business | 42 |
Midsize Enterprise | 24 |
Large Enterprise | 134 |
Boomi Flow is a modern, cloud-native service for creating customer journeys and automating simple and sophisticated workflows that accelerate your business outcomes.
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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