Informatica Intelligent Data Management Cloud (IDMC) and Matillion Data Productivity Cloud compete in the data management and integration industry. Based on user feedback, Matillion has a slight edge due to its user-friendly interface and seamless cloud integration capabilities, especially for non-technical users.
Features: Informatica IDMC offers comprehensive capabilities in master data management with robust data quality and integration modules. It supports various data models and management styles with high customizability. Matillion specializes in effective ETL processes, easy AWS integration, and a graphical interface that simplifies usage for non-technical persons.
Room for Improvement: Users suggest that Informatica IDMC could enhance its user interface and bolster integration with SAP and the Asia Pacific region's address validation tools. It is also noted to require more preconfigured business rules and improved data stewardship features. Matillion could improve by increasing update frequency for API changes and by providing more comprehensive documentation and interface enhancements for better performance.
Ease of Deployment and Customer Service: Informatica IDMC is versatile for on-premises, hybrid, and cloud deployments but experiences mixed reviews about tech support responsiveness. Matillion excels in cloud deployment ease, particularly with AWS, yet its customer service could benefit from faster response times and better technical problem handling.
Pricing and ROI: Informatica IDMC's pricing is considered high with usage and license costs being particularly steep for SMEs, despite the value it adds in data management efficiency. Matillion's pay-as-you-go model via AWS Marketplace is competitive, allowing scalable solutions for varying team sizes. This flexibility enhances financial planning and scalability.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
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.
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.
They communicate effectively and respond quickly to all inquiries.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
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 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.
Connections to BigQuery for extracting information are complex.
IDMC is often described as the 'Ferrari of Master Data Solutions,' implying that while expensive, it is business-critical and, therefore, justified.
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.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
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.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
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.
Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.
Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.
What are the key features of Matillion Data Productivity Cloud?
What benefits and ROI should users seek in reviews?
In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.
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