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  1. Abstract
  2. PowerExchange for Amazon Redshift
  3. PowerExchange for Amazon S3
  4. PowerExchange for Cassandra
  5. PowerExchange for Google Analytics
  6. PowerExchange for Google BigQuery
  7. PowerExchange for Google Cloud Spanner
  8. PowerExchange for Google Cloud Storage
  9. PowerExchange for Greenplum
  10. PowerExchange for HBase
  11. PowerExchange for HDFS
  12. PowerExchange for Hive
  13. PowerExchange for JDBC V2
  14. PowerExchange for JD Edwards EnterpriseOne
  15. PowerExchange for Kudu
  16. PowerExchange for LDAP
  17. PowerExchange for Microsoft Azure Blob Storage
  18. PowerExchange for Microsoft Azure Cosmos DB SQL API
  19. PowerExchange for Microsoft Azure Data Lake Storage Gen1
  20. PowerExchange for Microsoft Azure Data Lake Storage Gen2
  21. PowerExchange for Microsoft Azure SQL Data Warehouse
  22. PowerExchange for Microsoft Dynamics CRM
  23. PowerExchange for MongoDB
  24. PowerExchange for Netezza
  25. PowerExchange for OData
  26. PowerExchange for Salesforce
  27. PowerExchange for SAP NetWeaver
  28. PowerExchange for Snowflake
  29. PowerExchange for Tableau
  30. PowerExchange for Tableau V3
  31. PowerExchange for Teradata Parallel Transporter API
  32. Informatica Global Customer Support

PowerExchange Adapters for Informatica Release Notes

PowerExchange Adapters for Informatica Release Notes

PowerExchange for Microsoft Azure Cosmos DB SQL API (10.5)

PowerExchange for Microsoft Azure Cosmos DB SQL API (10.5)

Known Issues

The following table describes known issues:
Bug
Description
OCON-26473
Microsoft Azure Cosmos DB SQL API mappings that run on the Databricks Spark engine 7.2 might fail with the following error:
java.lang.NoSuchMethodError: scala.Predef$.refArrayOps
OCON-11892
When you create a data object, the system fields, for example
_ts
,
_etag
, appear by default in the write operation.
Workaround: Go to
Column Projection
and edit the schema to remove the system fields.

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