Find out what your peers are saying about Microsoft, Salesforce, SAP and others in Integration Platform as a Service (iPaaS).
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.
The tech support is very good, offering immediate responses and chat options.
Seamlessly meeting SLAs and providing excellent responses to challenges and issues related to interface and data connectivity.
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.
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.
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.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
The ETL aspect of Boomi iPaaS is not mature enough at the moment.
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.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
The pricing for Boomi iPaaS is reasonable, costing around $6,000 per year.
Companies often misunderstand ROI, seeing it as high, yet it equates to one or two full-time staff costs, addressing many needs.
IDMC is often described as the 'Ferrari of Master Data Solutions,' implying that while expensive, it is business-critical and, therefore, justified.
I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.
It automates the creation and population of a data warehouse, reducing the need to write SQL scripts and procedures.
The integrations and API management are particularly beneficial.
When developers learn how to use it, they become productive sooner.
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.
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) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.
IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.
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Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.
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