A very viable tool that helps to leverage the agility of the enterprise to make better decisions.
Overall Satisfaction with Informatica Data Quality
Provides simple, logical interfaces and connectors to eliminate the need for complex coding. Offers intelligent operations gnat ensure resilience, business continuity, and efficiency. Democratizes integrations by enabling self-service for nontechnical citizen integrators. Allows us to easily scale up or down to accommodate a variety of workloads without impacting performance. Secure everything effectively.
Pros
- Scales elastically.
- Effectively monitor and manage integration.
- Lets you build intelligent processes.
Cons
- Quickly connect our lines of business, customers, and partners to any app, any process and at any speed with Intelligent APIs.
- Covers a broad set of use cases and patterns including real-time integration process orchestration and API management.
- Orchestrates our business by integrating processes, data, and applications for real-time automation and data flows.
- Cloud data integrations that drives results.
- Uses flexible and cost-effective options whether ELT pushdown, ETL, or spark.
- Viable in codeless advanced integration.
- Allows us to easily scale up or down and only pay for what we use.
- Has Drag and drop prebuilt functions and templates to help us build data pipelines.
- Ingests data with high-performance ETL, mass ingestion, and change data capture.
Delivers measurable value to the entire organization by empowering teams with consistent and trusted data. Acts as a unified cloud-native service combined with capabilities across cataloging and governance use cases to ensure a cohesive business and technical experience. Automate manual tasks with AI to free up data stewards and give them more time to apply their expertise to mission-critical processes only.
Do you think Informatica Cloud Data Quality delivers good value for the price?
Yes
Are you happy with Informatica Cloud Data Quality's feature set?
Yes
Did Informatica Cloud Data Quality live up to sales and marketing promises?
Yes
Did implementation of Informatica Cloud Data Quality go as expected?
Yes
Would you buy Informatica Cloud Data Quality again?
Yes
Comments
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