Integration for Data Lakes and Warehouses
Power your modern analytics with continuous data ingestion and ETL at scale
You Need Data Now, Not Later
Modern analytics, data science, AI, machine learning…your analysts, data scientists and business innovators are ready to change the world. If you can’t deliver the data they need, faster and with confidence, they’ll find a way around you. (They probably already have.)
The challenge to the provisioning of continuous data is the unexpected, unannounced, and unending changes to data that constantly disrupt dataflow. That’s data drift, and it’s the reason why, sometimes when you go fast, things break. But when you take your time, you fall behind.
The StreamSets DataOps Advantage
StreamSets offers a powerful, yet simple DataOps Platform to speed data integration for data lakes and data warehouses. Building and operating smart data pipelines drive value to data lakes and enrich data warehouse architectures.
Try StreamSets Data Collector
Design and run data pipelines in minutes with an easy-to-use modern execution engine and 100+ pre-built connectors
How It Works
Rapid Data Ingestion
StreamSets Data Collector delivers the right data the right way into your data lake or data store. Drag-and-drop from a rich library of connectors and components in support of a variety of dataflow patterns:
- Streaming data ingestion
- Edge data shipping
- Change data capture
- Bulk data loading
- Micro-batch integration
Powerful Data Transformation
StreamSets Transformer provides Apache Spark-native transformation and data processing for ETL and machine learning workloads, all without needing to hand code. Aggregate, standardize, and cleanse data during integration or in a data lake or other raw data storage.
Operationalize and Scale Data Pipelines
StreamSets Control Hub gives you one place to monitor and manage all your pipelines, regardless of design pattern or where the workload is being executed. Sleep easy at night with end-to-end real-time dashboards into data flows across your enterprise, enforceable data performance SLAs, and security policies for your data in motion.
