Informatica Intelligent Data Management Cloud and BigID are competitive in the data management and privacy space. Informatica IDMC usually has an advantage in data integration, while BigID stands out in data discovery and privacy management.
Features: Informatica IDMC facilitates extensive data integration, data transformation, and data quality enhancement with governance tools. BigID excels in data discovery and privacy management, offering automatic classification of sensitive data across various platforms. Its strength lies in its ability to ensure data security and compliance.
Room for Improvement: Informatica IDMC could enhance its handling of complex privacy issues and improve scalability for vast and varied datasets. Additional automation features in data discovery could benefit users. BigID might improve initial setup cost efficiency and expand integration capabilities with broader data types. Enhancing user interface intuitiveness could also aid in user adoption.
Ease of Deployment and Customer Service: Informatica IDMC is praised for a streamlined deployment with strong technical support, simplifying complex data workflows. BigID provides a flexible modular deployment model integrated with customer service, fostering easy integration with existing infrastructures. Both have reliable customer service, with Informatica often favored for deploying in intricate environments and BigID appreciated for its flexibility.
Pricing and ROI: Informatica IDMC offers a competitive pricing model, delivering substantial ROI due to improved data management and reduced costs. It is ideal for organizations looking for efficient data operation handling. BigID, with its initial higher setup cost, offers high value through enhanced compliance and risk reduction, appealing to those needing advanced privacy solutions despite the increased initial investment.
It is one of the best tools in the market.
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.
BigID has one of the best technical support teams.
Professional service provides early and efficient support.
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.
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.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
There is also an issue with incident tagging, where all objects get tagged without an option to untag specific ones, and reverting changes is only possible through MongoDB Central, which can lead to data loss for certain periods.
I want them to focus on data mapping, assessment, automation workflow, and privacy incident management.
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 competitive in the market, however, I need to ask for the right price.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
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.
One of the best features of BigID is its strength in data discovery and governance.
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
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 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.
| Product | Market Share (%) |
|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 6.1% |
| BigID | 7.1% |
| Other | 86.8% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 42 |
| Midsize Enterprise | 24 |
| Large Enterprise | 134 |
BigID is a leader in data security, privacy, compliance, and governance: enabling organizations to proactively discover, manage, protect, and get more value from their data in a single platform for data visibility and control. Customers use BigID to reduce their data risk, automate security and privacy controls, achieve compliance, and understand their data across their entire data landscape: including multicloud, hybrid cloud, IaaS, PaaS, SaaS, and on-prem data sources.
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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