With data sharing, workloads accessing shared data are isolated from each other. Users and groups that have access to shared data on consumer clusters can discover and query the data with high performance using standard SQL and analytics tools. You can securely share data at many levels including schemas, tables, views, and user defined functions, providing fine grained controls that can be tailored for different consumers that all need access to data. To change the data sharing settings and permissions, you need to use the ALTER DATASHARE. You need to know exactly what your uses cases will be in order to set it up correctly. Amazon allows you to share your Redshift data using the datashare. Data sharing enables seamless collaboration across business groups for broader analytics and to analyze cross-product impact. AWS Redshift data sharing is an excellent way of segregating different workloads as well as securely sharing your Production data with different departments within the same company. Popular columnar database products include Snowflake and Amazon Redshift.
Redshift data sharing software#
Data sharing allows you to share live, transactionally consistent data by leveraging Amazon Redshift managed storage across different clusters without the complexity and delays associated with data copies and data movement. A database management system (DBMS) is software to create and manage databases. With Amazon Redshift data sharing, you can rapidly onboard new analytics workloads and provision them with flexible compute resources to meet their workload-specific performance SLAs while allowing them to access common data.
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