Amazon Kendra releases connectors for 11 JDBC data sources to enable structured data search
Amazon Kendra is an intelligent search service powered by machine learning, enabling organizations to provide relevant information to customers and employees, when they need it. Starting today, AWS customers can use the Amazon Kendra connectors for the following 11 databases, Aurora (MySQL Compatible), Aurora (PostgreSQL Compatible), RDS (MySQL), RDS (PostgreSQL), RDS (Oracle), RDS (Microsoft SQL Server), MySQL, PostgreSQL, Oracle, Microsoft SQL Server and DB2 to index and search messages from these data sources.
Amazon Kendra is an intelligent search service powered by machine learning, enabling organizations to provide relevant information to customers and employees, when they need it. Starting today, AWS customers can use the Amazon Kendra connectors for the following 11 databases, Aurora (MySQL Compatible), Aurora (PostgreSQL Compatible), RDS (MySQL), RDS (PostgreSQL), RDS (Oracle), RDS (Microsoft SQL Server), MySQL, PostgreSQL, Oracle, Microsoft SQL Server and DB2 to index and search messages from these data sources.
Critical information can be scattered across multiple data sources in an enterprise, including messaging platforms like these structured databases. Amazon Kendra customers can now use the Kendra connectors for these databases to index content and search for information across this content using Kendra Intelligent Search.
These 11 connectors are available in all AWS regions where Amazon Kendra is available. To learn more about the connector, visit the documentation page. To explore Amazon Kendra, visit the Amazon Kendra website.