Here’s the difference between informatica and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
Informatica offers AI-based enterprise data integration and management software. It has products for information lifecycle management, data exchange, cloud data integration, complex event processing, data masking, data quality, data replication, data virtualization, master data management, etc. It provides multi-domain master data management solutions with data integration, data quality, and business process management capabilities embedded in the software. The clients of the company include AARP, Adventist, addivant, ACH, etc.
Google Cloud Dataflow is a cloud-based data processing service for both batch and real-time data streaming applications. It enables developers to set up processing pipelines for integrating, preparing and analyzing large data sets, such as those found in Web analytics or big data analytics applications. The Cloud Dataflow software expands on earlier Google parallel processing projects, including MapReduce, which originated at the company. Cloud Dataflow is designed to bring to entire analytics pipelines the style of fast parallel execution that MapReduce brought to a single type of computational sort for batch processing jobs.
Overview | ||
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Categories | Data Cataloging, ETL Tools | Data Streaming |
Stage | Late Stage | Late Stage |
Target Segment | Enterprise | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Free trial | Freemium |
Location | California, US | US |
Companies using it | ||
Contact info |