Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings
  4. Sources
  5. Targets
  6. Transformations
  7. Cluster Workflows
  8. Profiles
  9. Monitoring
  10. Hierarchical Data Processing
  11. Hierarchical Data Processing Configuration
  12. Hierarchical Data Processing with Schema Changes
  13. Intelligent Structure Models
  14. Stateful Computing
  15. Connections
  16. Data Type Reference
  17. Function Reference

User Guide

User Guide

PowerExchange Adapter Targets

PowerExchange Adapter Targets

PowerExchange targets can run in the Hadoop or Databricks environment, based on the adapter.
The following table lists PowerExchange targets and the non-native engines that support the targets:
PowerExchange Adapter
Supported Engines
Amazon Redshift
  • Blaze
  • Spark
Amazon S3
  • Blaze
  • Spark
Google Analytics
  • Spark
Google BigQuery
  • Spark
Google Cloud Spanner
  • Spark
HBase
  • Blaze
  • Spark
HDFS
  • Blaze
  • Spark
Hive
  • Blaze
  • Spark
MapR-DB
  • Blaze
  • Spark
Microsoft Azure Blob Storage
  • Spark
  • Databricks Spark
Microsoft Azure Cosmos DB
  • Spark
  • Databricks Spark
Microsoft Azure Data Lake Store
  • Blaze
  • Spark
  • Databricks Spark
Microsoft Azure SQL Data Warehouse
  • Spark
  • Databricks Spark
Snowflake
  • Spark
Teradata Parallel Transporter API
  • Blaze
  • Spark

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