Informatica Intelligent Data Management Cloud (IDMC) and TIBCO BusinessWorks are competitors in the data management and integration domain. Informatica IDMC appears to have a stronger position due to its cloud-native features and flexibility across deployment models.
Features: Informatica IDMC offers a flexible architecture, data integration, and support for multiple domains. It provides cloud-native features and seamless integration capabilities. TIBCO BusinessWorks is noted for its simple development, robust data transformation capabilities, and integration with legacy systems. It also supports low-code development and has enterprise cloud connectors.
Room for Improvement: Informatica IDMC could improve its data stewardship, UI usability, and provide more pre-configured business rules. TIBCO BusinessWorks should consider lowering its pricing, enhance cloud integration, and update technology. Improvements in licensing model and performance optimization, especially for cloud, are needed.
Ease of Deployment and Customer Service: Informatica IDMC supports On-premises, Private Cloud, and Hybrid Cloud deployments, scoring slightly higher in customer service for its flexibility and proactive support. TIBCO focuses on On-premises and some Hybrid Cloud options. Both offer satisfactory technical support, but TIBCO's responsiveness could improve.
Pricing and ROI: Informatica’s pricing is perceived as high yet flexible, offering annual subscriptions and tiered usage plans. Even as costly, TIBCO BusinessWorks fits better with larger organizations due to its pricing structure and integration focus, offering less accessibility to SMEs in comparison. Informatica offers appreciated ROI through high data quality and effective resource use.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
Customer service is very helpful.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
It is not like AWS where I can add memory or more servers.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
It is stable, however, every now and then, it just ends.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
They should ensure that what was working in the previous version must also work in the new version of BW six.
The learning curve takes time compared to webMethods.
It ranges from a quarter million to a couple of million a year.
Pricing is for an enterprise application, so the company pays for it with a company license.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
It's a great software application for the middleware use cases to connect the front channels to the back ends in a secure and safer way.
When I have an architecture designed to plug in the service itself with BW, it makes things much easier.
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.
What are the most important features?
What benefits and ROI should be considered?
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.
We monitor all Data Integration 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.