Modernizing databases by offloading workloads to the cloud requires building real-time data pipelines from legacy systems. The Striim® platform is an enterprise-grade streaming data integration solution that continuously ingests, processes, and delivers high volumes of streaming data from diverse sources, on-premise or in the cloud. Cloud architects, data architects, and data engineers can use Striim to move data into Azure Database for PostgreSQL in a consumable form, quickly and with sub-second latency to easily run critical transactional and analytical workloads in Azure.
Benefits: Striim eases extending your data center to Azure by continuously moving real-time data to Azure Database for PostgreSQL.
Increase IT productivity, while reducing cost of ownership, by integrating and enriching data from a wide variety of sources
Increase the value of applications that use PostgreSQL Database by providing more timely and relevant data
Migrate to Azure Database for PostgreSQL without impacting business operations
Optimize storage by ingesting only the relevant data you need
Features: Striim ROAR for Azure PostgreSQL offers:
Fast-to-deploy, template-based service for real-time data integration from. Oracle, SQL Server, PostgreSQL, MySQL, and other sources.
Automatically prepare Azure Database for PostgreSQL for data integration with target schema and tables creation that reflect the source database
In-flight transformations via SQL-based language reduce end-to-end latency, and enable real time analytics and operational reporting workloads
Zero database downtime migration to Azure Database for PostgreSQL from existing databases by running them in parallel
Striim is a secure, reliable, and scalable service for non-intrusive, real-time data ingestion from enterprise databases via low-impact change data capture (CDC), data warehouses, log files, messaging systems, sensors, Hadoop, and NoSQL solutions with in-flight transformations and optimized delivery.
Unlike batch-based ETL solutions, Striim continuously ingests granular data sets for richer reporting and analytics without impacting sources, and processes the streaming data in memory for sub-second latency. Striim differs from logical replication tools with its support for a wide range of data types, data sources, and targets, and out-of-the-box stream processing capabilities.