Informatica Intelligent Data Management Cloud (IDMC) and Cloudera Data Platform compete in data management. IDMC leads in pricing and customer support, while Cloudera excels in security and ecosystem robustness.
Features: IDMC integrates data seamlessly, offers real-time processing, and provides AI-driven insights. Cloudera's data security, hybrid management, and interoperability with various environments make it adaptable for complex data needs.
Room for Improvement:IDMC can improve its security features and enhance interoperability with more diverse data environments. Cloudera should work on simplifying its user interface and reducing complexity in deployment, making it more user-friendly without compromising its comprehensive capabilities. Additionally, pricing flexibility could make Cloudera more competitive for smaller enterprises.
Ease of Deployment and Customer Service:IDMC offers easy cloud-based deployment with strong customer support. Cloudera requires a complex on-premise setup but compensates with detailed documentation and a structured support team.
Pricing and ROI:IDMC has lower setup costs and offers quicker ROI due to its cloud efficiencies and flexible pricing. Cloudera, although involving higher initial expenses, focuses on long-term ROI with its breadth of capabilities in large-scale data scenarios.
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.
I have communicated with technical support, and they are responsive and helpful.
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.
Integration with other tools works well for us and we successfully scaled the solution after two to three years without any issues.
For scalability, I rate Cloudera Data Platform at an eight out of ten as it is an on-premise solution.
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.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
We aim to address these issues with a Kubernetes-based platform that will simplify the task of upgrading services.
Cloudera Data Platform should include additional capabilities and features similar to those offered by other data management solutions like Azure and Databricks.
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.
Initially, CDH had a straightforward pricing model based on nodes, but CDP includes factors like processors, cores, terabytes, and drives, making it difficult to calculate costs.
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.
By using the Hadoop File System for distributed storage, we have 1.5 petabytes of physical storage with 500 terabytes of effective storage due to a replication factor of three.
The foremost benefit is offloading data from the warehouse to Cloudera Data Platform, which allows for cheaper storage.
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.
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.
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 5 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 42 |
| Midsize Enterprise | 24 |
| Large Enterprise | 134 |
Cloudera Data Platform offers a powerful fusion of Hadoop technology and user-centric tools, enabling seamless scalability and open-source flexibility. It supports large-scale data operations with tools like Ranger and Cloudera Data Science Workbench, offering efficient cluster management and containerization capabilities.
Designed to support extensive data needs, Cloudera Data Platform encompasses a comprehensive Hadoop stack, which includes HDFS, Hive, and Spark. Its integration with Ambari provides user-friendliness in management and configuration. Despite its strengths in scalability and security, Cloudera Data Platform requires enhancements in multi-tenant implementation, governance, and UI, while attribute-level encryption and better HDFS namenode support are also needed. Stability, especially regarding the Hue UI, financial costs, and disaster recovery are notable challenges. Additionally, integration with cloud storage and deployment methods could be more intuitive to enhance user experience, along with more effective support and community engagement.
What are the key features?Cloudera Data Platform is implemented extensively across industries like hospitality for data science activities, including managing historical data. Its adaptability extends to operational analytics for sectors like oil & gas, finance, and healthcare, often enhanced by Hortonworks Data Platform for data ingestion and analytics tasks.
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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