Pentaho Data Integration and Analytics and Informatica Intelligent Data Management Cloud (IDMC) compete in the data integration and analytics category. Informatica seems to have the upper hand due to its comprehensive features and capabilities in handling complex data integration and data governance.
Features: Pentaho offers a robust set of features such as ease of deployment, strong support for various data formats, and an intuitive graphical interface, with drag-and-drop functionality for easy learning. It supports big data technologies like Hadoop. Informatica IDMC is known for its extensive data integration capabilities, automation abilities, and handling complex integrations and data governance effectively.
Room for Improvement: Pentaho users report a need for enhanced performance with large datasets, better documentation, and improved logging capabilities. Backward compatibility and a more intuitive user interface are also noted as areas for improvement. Informatica IDMC faces criticism for its user interface and high pricing, with suggested improvements in stability, data integration, and support for more connectors.
Ease of Deployment and Customer Service: Pentaho provides both on-premises and cloud deployment models, with ease of integration as a notable feature. However, limited technical support is available for the community edition, with better support in the enterprise edition. Informatica IDMC supports on-premises, hybrid, and cloud environments, but its pricing and customer service are often described as less accessible, with robust yet costly technical support.
Pricing and ROI: Pentaho’s Community Edition is free, making it attractive for budget-conscious users, while the enterprise edition is priced competitively, offering significant ROI through reduced ETL development times. Informatica, being a premium product, has a pricing structure reflecting its comprehensive capabilities, with a high initial investment but value found in its extended features for efficiency and cost-effectiveness in large-scale projects.
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.
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.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
For products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.
Communication with the vendor is challenging
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.
Pentaho Data Integration handles larger datasets better.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
It's pretty stable, however, it struggles when dealing with smaller amounts of data.
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.
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.
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.
Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle.
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.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
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.
I find the drag and drop feature in Pentaho Data Integration very useful for integration.
Product | Market Share (%) |
---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 3.6% |
Pentaho Data Integration and Analytics | 1.7% |
Other | 94.7% |
Company Size | Count |
---|---|
Small Business | 42 |
Midsize Enterprise | 24 |
Large Enterprise | 134 |
Company Size | Count |
---|---|
Small Business | 17 |
Midsize Enterprise | 16 |
Large Enterprise | 25 |
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.
Pentaho Data Integration stands as a versatile platform designed to cater to the data integration and analytics needs of organizations, regardless of their size. This powerful solution is the go-to choice for businesses seeking to seamlessly integrate data from diverse sources, including databases, files, and applications. Pentaho Data Integration facilitates the essential tasks of cleaning and transforming data, ensuring it's primed for meaningful analysis. With a wide array of tools for data mining, machine learning, and statistical analysis, Pentaho Data Integration empowers organizations to glean valuable insights from their data. What sets Pentaho Data Integration apart is its maturity and a vibrant community of users and developers, making it a reliable and cost-effective option. Pentaho Data Integration offers a range of features, including a comprehensive ETL toolkit, data cleaning and transformation capabilities, robust data analysis tools, and seamless deployment options for data integration and analytics solutions, making it a go-to solution for organizations seeking to harness the power of their data.
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