--- title: Informatica Data Engineering Reviews meta_title: 'Informatica Data Engineering Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 28 reviews by the users' company size, role or industry to find out how Informatica Data Engineering works for a business like yours. aggregate_rating: rating_value: 4.4 review_count: 28 scale: '5' date_modified: '2026-07-17' parent_category: name: Cloud Data Integration url: https://www.g2.com/categories/cloud-data-integration --- # Informatica Data Engineering Reviews **Vendor:** Informatica **Category:** [ETL Tools](https://www.g2.com/categories/etl-tools) **Average Rating:** 4.4/5.0 **Total Reviews:** 28 ## About Informatica Data Engineering Informatica Data Engineering is a comprehensive suite of tools designed to empower data engineers in delivering clean, reliable, and accessible data for enterprise AI, machine learning, and analytics initiatives across hybrid and multi-cloud environments. By integrating seamlessly with platforms like Databricks, it facilitates efficient data discovery, ingestion, and processing at scale, leveraging serverless computing to optimize costs and performance. Key Features and Functionality: - Data Engineering Integration: Manages analytics and machine learning data pipelines with intelligent data ingestion and processing capabilities in hybrid, multi-cloud environments. - Data Engineering Streaming: Transforms high volumes of streaming and IoT data into contextualized insights, enabling real-time decision-making. - Data Engineering Quality: Ensures data governance across cloud and hybrid environments, maintaining data trustworthiness and relevance. - Data Engineering Masking: De-identifies sensitive data to minimize risk exposure in applications, business intelligence, AI, and analytics use cases. - Enterprise Data Catalog: Classifies and organizes data assets across various environments to ensure lineage and maximize data value and reuse. - Enterprise Data Preparation: Provides collaborative tools for data analysts and scientists to find, prepare, and ensure data quality for analysis and AI applications. - Mass Ingestion: Enables ingestion of data at scale from diverse sources, including streaming data, files, and databases, through an intuitive five-step wizard. Primary Value and User Solutions: Informatica Data Engineering addresses critical gaps in enterprise AI, machine learning, and analytics initiatives by providing a unified platform for end-to-end data management. It empowers data engineers to efficiently handle complex data workflows, ensuring that data scientists and analysts have access to high-quality, trusted data. This accelerates the development of AI models and analytics, leading to faster, more accurate business insights. The solution's scalability and integration capabilities support organizations in building resilient data architectures that drive informed decision-making and unlock the full potential of their data assets. ## Informatica Data Engineering Pros & Cons **What users like:** - Users value the **automation** capabilities of Informatica Data Engineering, enhancing efficiency in data workflows and processing tasks. (1 reviews) - Users value the **seamless cloud integration** of Informatica Data Engineering, enhancing the efficiency of their data workflows. (1 reviews) - Users value the **excellent connectivity** of Informatica Data Engineering, enabling effortless integration with diverse data sources. (1 reviews) - Users appreciate the **seamless integration and user-friendly design** of Informatica Data Engineering, enhancing data workflow efficiency. (1 reviews) - Users value the **drag-and-drop pipeline design** of Informatica Data Engineering, greatly enhancing efficiency in workflow creation. (1 reviews) - Ease of Use (1 reviews) - Easy Integrations (1 reviews) - Efficiency (1 reviews) - ETL Efficiency (1 reviews) - Features (1 reviews) **What users dislike:** - Users experience **performance issues** with complex mappings and large data sets, leading to slower-than-expected processing speeds. (1 reviews) - Users experience **slow data loading** with complex mappings, impacting their efficiency when handling larger datasets. (1 reviews) - Users experience **slow processing** with complex mappings and larger datasets, impacting efficiency in Informatica Data Engineering. (1 reviews) ## Informatica Data Engineering Discussions - [What is Informatica Data preparation?](https://www.g2.com/discussions/what-is-informatica-data-preparation) - [What does Informatica software do?](https://www.g2.com/discussions/informatica-data-engineering-what-does-informatica-software-do) - [What does Informatica software do?](https://www.g2.com/discussions/what-does-informatica-software-do) - [What is Informatica Data Engineering?](https://www.g2.com/discussions/informatica-data-engineering-what-is-informatica-data-engineering) - [What is Informatica Data Engineering?](https://www.g2.com/discussions/what-is-informatica-data-engineering) - [View Informatica Data Engineering pricing details and edition comparison](https://www.g2.com/products/informatica-data-engineering/reviews?login_required=true&page=2§ion=pricing&secure%5Bexpires_at%5D=2026-07-20+12%3A03%3A47+-0500&secure%5Bsession_id%5D=20c0d7de-ced5-4773-af83-379cecdb5acc&secure%5Btoken%5D=d2bcf04f7b0fb5b77178914719ba467b74c6937d6b297c5e0f193ffdca331e92&format=llm_user) ## Informatica Data Engineering Integrations - [Azure Synapse Analytics](https://www.g2.com/products/azure-synapse-analytics/reviews) ## Informatica Data Engineering Features **Management** - Reporting - Auditing **Functionality** - Extraction - Transformation - Loading - Automation - Scalability ## Top Informatica Data Engineering Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,322 reviews) - [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) - 4.4/5.0 (373 reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) - 4.3/5.0 (782 reviews)