Simplify Your GCP Big Data Integration
When it’s time to try the next innovation in big data analytics, AI or machine learning and you need GCP processing power and product innovation, StreamSets delivers your data fast with big data integration.
Use the platform to design, deploy, and operate big data pipelines from on-premises and across the entire Google stack. A visual interface makes it easy to build and operate smart data pipelines that detect and respond to change.

Native Integrations to GCP
Accelerate your Google data projects on GCP with modern data integration






Manage Your GCP Data Platforms with StreamSets

Simplify Cloud Adoption and Continuous Sync to GCP
Simplify your migration to GCP and keep your environments in sync using StreamSets’ pre-built connectivity to 100s of data sources, powerful data transformation, change data capture (CDC), and a full lifecycle approach to data engineering.

Load data into Google BigQuery on Dataproc
StreamSets provides a single, easy-to-use platform to integrate unstructured, semi-structured, and multi-structured data. Build smart data pipelines to execute natively on Google Dataproc for large scale ETL and machine learning operations.

Setup Scalable Brokers with Google Pub/Sub
Connect to the most desired data sources with Google Pub/Sub and use StreamSets to manage the streaming and transformation of new data to your business. Identify and capture the data that is most strategic for your company and make it available instantly for analytics.
Power of Hybrid without the Complexity
Detect and Respond to Data Drift
Other tools let you do data integration into GCP. But those data pipelines break when the unexpected happens, and they are hard to move to new data processing and cloud platforms. Only StreamSets 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 break. But when you take your time, you fall behind. Strong data integration 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
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