Informatica IDMC and StreamSets compete in the data management space. Overall, Informatica IDMC seems to have the upper hand due to its comprehensive feature set and better customer service ratings.
Features: Informatica IDMC offers a comprehensive integration of data management modules, strong data quality and governance features, and a flexible architecture supporting various data styles and domains. StreamSets provides a user-friendly pipeline design interface, excels in batch and streaming data processes, and offers robust data drift and CDC capabilities.
Room for Improvement: Informatica IDMC could enhance its user interface and integration with leading business applications. Users suggest improving intuitive error reporting and preconfigured business rules. StreamSets could improve logging mechanisms, GUI, and security features, while also addressing challenges with non-Java platforms integration and real-time processing.
Ease of Deployment and Customer Service: Informatica IDMC supports both on-premises and cloud environments, whereas StreamSets focuses on hybrid and public cloud setups. Informatica IDMC receives slightly better customer service ratings due to its organized and responsive support system, while StreamSets is appreciated for straightforward customer interactions.
Pricing and ROI: Informatica IDMC's pricing is perceived as high with a complex licensing model, yet it offers flexibility aligned with organizational needs, providing significant ROI over time. StreamSets, with options like an open-source model, appeals to various business sizes but can be expensive for smaller companies. Informatica users see ROI through improved data management processes, while StreamSets users benefit from cost savings via efficient data pipeline management.
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.
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.
IBM technical support sometimes transfers tickets between different teams due to shift changes, which can be frustrating.
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.
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.
It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades.
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.
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.
It allows a hybrid installation approach, rather than being completely cloud-based or on-premises.
Product | Market Share (%) |
---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 3.6% |
StreamSets | 1.4% |
Other | 95.0% |
Company Size | Count |
---|---|
Small Business | 42 |
Midsize Enterprise | 24 |
Large Enterprise | 134 |
Company Size | Count |
---|---|
Small Business | 9 |
Midsize Enterprise | 2 |
Large Enterprise | 11 |
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.
StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.
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