Informatica Intelligent Data Management Cloud and Boomi iPaaS compete in the data integration and management category. Informatica IDMC holds an edge for businesses demanding extensive domain support and strong customer service, whereas Boomi offers simplicity in integration crucial for a range of applications.
Features: Informatica IDMC thrives with features like seamless Master Data Management integration, a flexible architecture, and robust data cleansing. Other valuable aspects include its high-performance address validation and extensive multi-domain support. Boomi iPaaS shines with over 200 standard connectors, a no-code Integrated Development Environment, and efficient crowd-sourced data mapping suggestions, offering a user-friendly approach and reducing integration time.
Room for Improvement: For Informatica IDMC, areas needing improvement include user interface enhancements, better data stewardship, and more stable connectivity. There is also a need for additional pre-built capabilities and data source options. Boomi iPaaS users suggest upgrades in API management, scripting capabilities, and enhancements to documentation. Improvements in API development and version control could further elevate user satisfaction.
Ease of Deployment and Customer Service: Informatica IDMC supports deployment across on-premises, hybrid, and cloud environments, with strengths in responsive and competent customer support, though time zone issues can cause delays. Boomi iPaaS provides multiple deployment models, with flexible deployment options and satisfactory customer service. Boomi facilitates an uncomplicated integration process, making it appealing to those seeking straightforward solutions.
Pricing and ROI: Informatica IDMC is a premium offering with varying pricing models that can offer cost efficiencies through bundled contracts. It provides value through improved data quality. Boomi iPaaS operates on a pay-per-use model, charging based on connections, which can be advantageous for businesses prioritizing cost-effectiveness alongside a predictable financial layout. IDMC is better for those who require comprehensive data management, while Boomi fits businesses looking for flexible integration services.
We have automated complete order-to-cash processes for multiple customers, saving over 90 million dollars.
The return is faster since development efforts are minimized, allowing for quicker integration delivery.
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.
Seamlessly meeting SLAs and providing excellent responses to challenges and issues related to interface and data connectivity.
The tech support is very good, offering immediate responses and chat options.
We receive service that is more than adequate, even exceptional.
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 reason we wanted to use our own Kubernetes cluster was to do automatic scaling for utilized resources, allowing us to save.
We have built approximately 1,100 interfaces for one customer, which is a significant achievement.
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.
The integration landscape has become complex, and having a data strategy with unified data models would make integration easier for any platform, including Boomi.
A significant area for improvement is version control.
The ETL aspect of Boomi iPaaS is not mature enough at the moment.
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.
While pricing is relative, compared to others, it is favorable.
The pricing for Boomi iPaaS is reasonable, costing around $6,000 per year.
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.
It automates the creation and population of a data warehouse, reducing the need to write SQL scripts and procedures.
The most valuable features of Boomi are the integration capabilities, the Data Hub product, and the UDI integration.
The maturity of the product is significant.
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 (%) |
|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 5.2% |
| Boomi iPaaS | 8.6% |
| Other | 86.2% |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 51 |
| Midsize Enterprise | 27 |
| Large Enterprise | 153 |
The Boomi AtomSphere integration platform as a service (iPaaS) supports all your application integration processes – between cloud platforms, software-as-a-service applications, and on-premises systems. Your entire team has online access to a powerful range of integration and data management capabilities, that can be realized in a fraction of the time of legacy middleware technologies.
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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