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. Data Preview
  8. Cluster Workflows
  9. Profiles
  10. Monitoring
  11. Hierarchical Data Processing
  12. Hierarchical Data Processing Configuration
  13. Hierarchical Data Processing with Schema Changes
  14. Intelligent Structure Models
  15. Stateful Computing
  16. Appendix A: Connections
  17. Appendix B: Data Type Reference
  18. Appendix C: Function Reference

PowerExchange Adapter Sources

PowerExchange Adapter Sources

PowerExchange sources can run in the Hadoop or Databricks environment, based on the adapter.
The following table lists PowerExchange sources and the non-native engines that support the sources:
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
  • Spark
  • Databricks Spark
Microsoft Azure SQL Data Warehouse
  • Spark
  • Databricks Spark
Snowflake
  • Spark
Teradata Parallel Transporter API
  • Blaze
  • Spark


Updated July 10, 2020