Crosser and Google Cloud

Remove complexity and lower the barrier of innovation by running Crosser on GCP, serverless with the Flow-as-a-Service offering or by deploying Crosser Nodes on GCP VMs. Get everything you need from one low-code and low-effort platform instead of trying to put multiple GCP services together. 

• Data Ingestion & Integration
• ETL/ELT
• Reverse ETL - bidirectional
• Event Processing
• Stream Analytics
• Functions & custom code (python, C#, javascript)
• Run AI/ML models
• Automation Workflows

Example of simplification of the architecture:

Crosser can, for most use cases, be used as an alternative for the following Google Cloud services. All in one single low-code and low-effort platform:

• DataFlow
• Datastream
• Apigee Integration
• AppSheet
• Cloud Data Fusion
• Cloud Functions
• Pub/Sub
• Cloud Composer
• Dataproc (Apache Spark)
• Workflows

Contact our product experts for a conversation about your specific use cases →

More and more businesses use more than one cloud provider and have to learn multiple services for stream analytics & integration.

• Run Crosser in all your clouds
• Flows-as-a-service for a serverless experience
• Build cloud-to-cloud integrations
• On-premise to Cloud
• Managed from one Control Center

Very few people manage to understand how much their cloud stream analytics & integration will cost them. Crosser uses a wildly simplified model compared to the hyperscaler cloud providers. 

Contact Sales to know how much you can save

By running the Crosser Node in the edge/on-premises you can deliver ready-to-use data directly to Google Storage & DataLake services. Bypass expensive and complicated cloud services and run stream analytics & integration and ETL on-premises. All managed from one cloud Control Center.