Templatize Microsoft and Azure Data Integration
Visualize, build, and manage the full lifecycle of data in any Microsoft and Azure data platform.
All the Data, None of the Friction
When too many tools, too much complexity, and too much hand coding slows your data integration down, you need a better way to provision data for Microsoft Azure Data Warehouse migration, Azure Data Lake ingestion, and taking advantage of SQL Server 2019 Big Data Clusters.
StreamSets natively supports all the Microsoft and Azure data platforms, so you can use one platform for the entire Microsoft stack and beyond. A visual interface makes it easy to build and operate smart data pipelines that detect and respond to change and pre-built sources and destinations help you quickly connect to systems in the Microsoft ecosystem.
Native Integrations to Azure and SQL Server
Power your Microsoft and Azure data projects with rapid data integration.
Native Execution on
Azure
Easily move between on-premises and multiple cloud environments with native execution on these platforms:
- Azure virtual machines (VMs)
- Azure Kubernetes
- Azure HDInsight
- SQL Server 2019 Big Data Clusters
- Azure Databricks
Accelerate your Microsoft and Azure Projects
Modern Data Warehouse on Azure
StreamSets makes it easy to migrate entire data sets from and into Azure Data Lake Storage (ADLS) Gen 1, Gen2, and Azure SQL databases. Auto-create partitions in ADLS and tables in Azure SQL.
Migrate to a Cloud Data Lake
Migrating from an on-premises data lake to a cloud data lake does not have to take months or even weeks. With intent-driven data pipelines, you can migrate data from Hadoop FS to Azure Data Lake in hours.
AI and Machine Learning
SQL Server 2019 Big Data Clusters provides an elastic data platform built exclusively using containerized applications, incorporating Apache Spark and HDFS plus SQL Server. Leverage the power of new engines like Apache Spark and scale out storage with the confidence and structure of Microsoft SQL.
Power of Microsoft Hybrid without the Complexity
Detect and Respond to Data Drift
Other tools let you do data integration into SQL Server and Azure. But those data pipelines break when the unexpected happens, and they are hard to move to new data processing and cloud platforms. Only StreamSets Data Platform features smart data pipelines with built-in data drift detection and handling, and a hybrid cloud architecture, so that your operations run smoothly despite constant change.
Design-Deploy-Operate Continuously
In a static data world, up-front developer productivity matters more than operations. In a continuous data world, operations is everything. Close the loop between operations and development with automation and collaboration across the design-deploy-operate lifecycle. StreamSets Control Hub monitors data in flight to detect changes and predicts downstream issues to ensure continuous data delivery without errors or data loss.
Go Fast and Be Confident
When your business moves fast on a traditional architecture, things can break. But when you take your time, you fall behind. A purposeful data integration framework gives you end-to-end transparency across your data infrastructure, so you can detect emergent patterns and designs. A live data map, enforceable data performance SLAs and data protection help you focus on making data reliable as your users experiment and innovate.
Data Engineer’s Handbook: 4 Cloud Design Patterns
Ready to Get Started?
We’re here to help you start building pipelines or see the platform in action.