Data Engineering Integration

A fast, flexible way to build and manage intelligent data pipelines at scale.



Key Features

See how the industry’s most comprehensive data engineering product helps you access, integrate, clean, catalog, and govern big data at scale.

Data integration on Spark and Hadoop

Access an extensive library of advanced prebuilt data transformations, including PythonTx to operationalize data science projects and analytics.

Advanced Spark support

Leverage innovations in the latest Spark engine for advanced data management, including data ingestion, data quality, data masking, and data processing at scale.

Zero-code visual designer

Employ easy-to-use visual interface to rapidly build data transformation logic for your data engineering pipelines.

AI-powered pipeline recommendations

Enhance data engineer productivity with data pipeline recommendations and cross data pipeline categorization, both powered by the Informatica CLAIRE™ engine.

High-speed mass ingestion

Ingest data from source systems and applications into cloud and big data using high-performance connectivity, mass ingestion, and dynamic mappings.

Serverless deployment

Automatically scale and deploy big data engineering workloads in cloud environments, such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Intelligent data parsing

Parse complex multi-structured, hierarchical, and unstructured data automatically with Informatica Intelligent Structure Discovery. Easily handle schema drifts.

Flexible deployment

Automate deployment and management of data processing compute clusters with Spark Serverless services, such as Databricks, Qubole, and Google Dataproc.

Big data profiling

Profile big data to better understand the data, identify data quality issues, and collaborate on data pipelines.

Advanced DataOps

Improve collaboration with DevOps by deploying data engineering jobs in a CI/CD pipeline, and using Informatica Operational Insights to monitor big data resources.

Data Engineering in the Cloud

Informatica Data Lake Management on AWS

Take advantage of the security and scalability of the managed Hadoop framework in AWS EMR to easily find, prepare, and govern big data to quickly drive business value.

Informatica Data Lake Management on Microsoft Azure

Leverage the flexibility of the managed Hadoop framework in Microsoft Azure HDInsight to easily find, prepare, and govern big data to quickly drive business value.

Intelligent Data Pipelines with Databricks

Accelerate data pipelines for AI and analytics with intelligent data integration and ingestion from Informatica and Databricks.

Customer Success Stories


Avis Budget Group partnered with Informatica to optimize its vehicle rental business by cataloging, ingesting, preparing, processing, and governing real-time data at scale.


Informatica Data Engineering helps MD Anderson change the future of medicine by facilitating self-service analytics to empower scientific and clinical collaboration.


See how Takeda leverages Informatica Data Engineering and Databricks solutions to deliver breakthrough therapies with faster analytics and lower costs.