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Big Data Management

Enable faster, flexible, and repeatable big data ingestion and integration.

Overview

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Key Features

The industry’s most advanced big data management product that accesses, integrates, cleans, catalogs, and governs big data.

Universal Data Access

Access all types of data including transactions, applications, databases, log files, social, machine, and sensor data.

Advanced Spark Support

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

Data Integration on Hadoop and Spark

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

Visual Design Interface

Builds on top of the open-source Hadoop framework and preserves all the transformation logic without specialized development.

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.

Flexible Deployment

Deploy and manage big data workloads automatically both on-premises and in cloud environments, such as Amazon AWS, Microsoft Azure, and Google Cloud Platform.

Data Profiling on Hadoop

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

Serverless Management

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

Intelligent Data Parsing

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

Operational Insights for Big Data

Give data ops a single view to monitor and plan big data resources. Achieve better compliance and performance management.

Big Data Management in the Cloud

Big Data Management on AWS

Leverage 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.

Big Data 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.

Integration at Scale

Process big data integration tasks without managing servers or requiring big data expertise using the cloud-native Integration at Scale service.

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Informatica Operational Insights

Use machine learning to efficiently monitor and manage your Big Data Management deployments across domains and locations.

 

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Customer Success Stories

Western Union

Western Union built a data platform based on Hadoop and Informatica Big Data Edition

M.D. Anderson Cancer Center

Informatica empowered scientific and clinical collaboration at this renowned cancer center by turning data into knowledge and facilitating self-service business intelligence.

Tinkoff Bank

Tinkoff Bank acquires and retains more customers at a lower cost with Informatica Big Data Management.