Informatica IDMC and Camunda are competitors in the data management and process automation sectors. Informatica IDMC seems to have the upper hand in data management due to its comprehensive offerings, while Camunda stands out in process automation flexibility.
Features: Informatica IDMC provides robust data management capabilities, including seamless integration of MDM, data quality, and data integration modules. It supports multiple domains and offers a flexible architecture. Camunda focuses on process modeling and execution, supporting BPMN, CMMN, and DMN standards. Its open-source nature allows for easy customization and integration.
Room for Improvement: Informatica IDMC users desire better integration with SAP applications and more intuitive GUIs for data stewardship. They also seek improved database connectivity and reporting. Camunda could enhance its user interface and develop advanced form capabilities. Users also suggest better community support and documentation.
Ease of Deployment and Customer Service: Both Informatica and Camunda can be deployed in hybrid and cloud environments. Informatica is known for robust support but can experience delays. Camunda's open-source version requires self-support, while its enterprise edition offers timely assistance. Informatica provides structured support agreements, in contrast to Camunda's community-driven model.
Pricing and ROI: Informatica IDMC is expensive, with pricing justified by comprehensive features suitable for larger enterprises. Licensing complexity is noted. Camunda's open-source version offers cost savings, while the enterprise version provides additional features at a competitive price. Both solutions offer high-value investments, with ROI influenced by business adoption and feature utilization.
AWS provides the best support, followed by Microsoft, and then Google.
They provide better support for the enterprise edition.
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.
Camunda offers a high level of scalability, especially when using its SaaS model, which manages and scales implementations automatically.
It allows for easy scaling, especially with ECS service configurations.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
There haven't been any significant outages in my experience with Camunda.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
More open documentation would be beneficial to understand the deployment process better and facilitate easier setup.
There is an issue where, in some situations, I need to scale up by observing both CPU and memory usage of containers, yet under the current options available at Amazon, this is not possible.
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.
For some services, such as hosting databases, Google is really expensive.
There is a licensing cost for using the SaaS model and Enterprise edition of Camunda.
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.
ECS also allows for horizontal scalability with thresholds that can be configured for CPU or memory.
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.
Camunda drives business process automation and AI orchestration, enhancing efficiency and innovation without compromising security and governance. Trusted by major brands like Atlassian, it seamlessly integrates systems and human tasks for impactful digital transformation.
Camunda is renowned for fostering collaboration between business and IT, empowering over 700 organizations across diverse sectors to manage and improve business-critical processes. With its flexible architecture, Camunda supports BPMN, CMMN, and DMN standards, allowing for efficient modeling and smooth integration with environments via REST APIs. This open-source platform offers extensive customization and combines enterprise features such as process history tracking and decision table editing, supporting both technical and non-technical users in achieving efficient automation strategies. While performance and scalability issues exist, especially in the cloud, Camunda remains a top choice for companies like ING and Vodafone.
What are Camunda's standout features?In sectors like banking and government, Camunda's fast prototyping and workflow automation capabilities optimize processes such as client onboarding and investment banking workflows. It enhances social governance tasks, credit flows, and enterprise integration, while also being used in insurance and telecom for automating repetitive tasks and improving efficiency. Organizations utilize Camunda for training and service management, showcasing its versatility across industries.
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.
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