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Informatica Data Integration and Engineering

Delivers robust data integration capabilities for handling complex ETL processes with an intuitive interface. Extensive documentation helps users quickly implement workflows to enhance productivity.

Starting priceContact for pricing
DeploymentCloud, On-premise
Free trialNo

About

Delivers robust data integration capabilities for handling complex ETL processes with an intuitive interface. Extensive documentation helps users quickly implement workflows to enhance productivity.

Informatica Data Integration and Engineering is a comprehensive, AI-powered ETL and ELT platform designed to move, transform, synchronize, and replicate data across diverse sources and target systems in multi-cloud, hybrid, and on-premises environments at enterprise scale. Built on a modern cloud-native architecture, the platform supports a wide range of integration patterns — including batch processing, real-time data streaming, change data capture, and serverless execution — enabling organizations to build well-automated, high-performance data pipelines that feed cloud data warehouses, data lakes, and analytics platforms. Its AI-powered CLAIRE engine provides intelligent recommendations for source dataset selection and transformation logic, while built-in operational dashboards give data engineers full visibility into pipeline health at every stage. The solution integrates natively with leading platforms such as Snowflake and Azure Synapse Analytics, and its visual, drag-and-drop mapping designer makes it accessible to both experienced data engineers and less technical users alike. Informatica Data Integration and Engineering is best suited for mid-market and enterprise organizations across industries such as financial services, insurance, information technology, and higher education, where data engineers, architects, and analysts need a scalable, reliable backbone for consolidating data from siloed systems like ERP, CRM, and flat files to power advanced analytics and AI initiatives. While the platform's licensing costs and initial setup complexity can pose challenges for smaller teams, its reusable transformation logic, robust error handling, and serverless scalability make it a dependable long-term investment for organizations managing large, complex data environments.

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Industries served

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Product details

Category

Data Fabric

Starting price

Contact for pricing

Free trial

No

Deployment

Cloud, On-premise

Industries

All

Pricing

Contact for pricingNo free trial

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