Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. It frees you to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need.
Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server. You can use the AWS Database Migration Service to easily migrate or replicate your existing databases to Amazon RDS.
BA Insight’s Amazon RDS Connector is built upon industry standard database access methods, so it can equally support databases from other systems such as Oracle, MySQL, and IBM DB2. It indexes content from Amazon RDS into Azure, SharePoint Online or SharePoint 2016/2013, surfacing it through BA Insight’s SmartHub to provide users with integrated search results.
The Amazon RDS Connector honors the security of the source database and provides both full and incremental crawls so that users have the latest information available to them at all times.
Our Amazon RDS Connector is standard, off-the-shelf software that addresses the following requirements:
Works with all types of data.
Works with custom tables, documents, attachments, and BLOB data.
Indexes every desired item with a very high throughput. Many SQL databases have millions of rows, making high throughput critical to the success of the implementation.
Minimizes the impact on the source system through views or stored procedures as necessary, ensuring no impact to its performance.
Only surfaces the content that users are permitted to see, even if the security configuration is custom designed.
The source system retains the master information and the search index has only a representation (pointers). If applicable to the database being crawled, users click on a search result and are taken to their original item or document.