Intelligently manage big data engineering pipelines in the cloud and on premises for faster insights.
Execute data processes for highest performance, scalability, and utilization without any knowledge of the underlying technologies such as Spark and Hadoop.
Simplify and accelerate data engineering integration with mass ingestion and connectors to hundreds of data sources such as databases, applications, or the cloud.
Automate the deployment and management of distributed data processing resources with a serverless architecture on AWS, Microsoft Azure, and Google Cloud Platform.
See how the industry’s most comprehensive cloud data engineering product helps you access, integrate, clean, catalog, and govern big data.
Access all types of data including transactions, applications, databases, log files, social, machine, and sensor data.
Leverage innovations in the latest Spark engine for advanced data management, including data ingestion, data quality, data masking, and stream processing.
Access an extensive library of advanced prebuilt data transformations, including Python transformations to operationalize data science projects.
Employ the intuitive visual interface to build data engineering transformation logic used in creating the data pipeline.
Ingest data from source systems and applications into cloud and big data using high-performance connectivity, mass ingestion, and dynamic mappings.
Automatically scale and deploy big data workloads in cloud environments, such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
Parse complex multi-structured, hierarchical, and unstructured data automatically with Informatica Intelligent Structure Discovery. Easily handle schema drifts.
Automate deployment and management of data processing compute clusters with Spark Serverless services, such as Databricks, Qubole, and Google Dataproc.
Profile big data to better understand the data, identify data quality issues, and collaborate on data pipelines.
Give DataOps a single view to monitor and plan big data resources. Achieve better compliance and performance management.
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.
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.
Accelerate data pipelines for AI and analytics with intelligent data integration and ingestion from Informatica and Databricks.