SQL2Fabric-Mirroring
Striim, Inc.
SQL2Fabric-Mirroring
Striim, Inc.
SQL2Fabric-Mirroring
Striim, Inc.
Fabric mirroring, SQL Server replication, Fabric Data warehouse, Striim replication
SQL2Fabric Mirroring: Seamless, Real-Time Data Integration to Microsoft Fabric
Striim's SQL2Fabric Mirroring is a fully managed, zero-code solution that seamlessly replicates on-premises SQL Server data to Microsoft Fabric. Powered by Striim's high-performance, secure, and scalable cloud platform, this service simplifies complex data integration and migration scenarios.
Key Benefits:
Rapid Deployment: Quickly set up and start replicating data to Fabric with minimal effort.
Real-Time Data Integration: Stream data from SQL Server to Fabric in real-time, enabling real-time analytics and insights.
High Performance and Scalability: Handle large volumes of data with ease and ensure optimal performance.
Enhanced Security: Benefit from Striim's robust security measures to protect your sensitive data.
Simplified Management: Manage your data integration pipelines with a user-friendly interface.
How it Works:
Connect Your Source: Easily connect your on-premises SQL Server database to the Striim Cloud platform.
Configure Your Target: Specify the target Fabric workspace and database where you want to replicate data.
Start Replicating: With a few clicks, initiate real-time data replication to Fabric.
Leverage Fabric's Power: Utilize Fabric's powerful analytics and visualization capabilities to gain valuable insights from your data.
Sign up for a 30-day trial on the Azure Marketplace or a 60-day trial on the Striim website to experience the benefits of SQL2Fabric Mirroring firsthand.
Pricing
Striim Cloud's pricing model is based on the number of cores used to process data. Please refer to the Azure Marketplace or Striim's website for specific pricing details.
Plan includes - Compute, Data transfer and unlimited events to process data
By leveraging Striim's SQL2Fabric Mirroring, you can unlock the full potential of your data and drive better business decisions.