Simplify Your GCP environment
Run Crosser in Your Cloud and cut your cost
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
- Reverse ETL - bidirectional
- Event Processing
- Stream Analytics
- Run AI/ML models
- Automation Workflows
Example of simplification of the architecture:
An alternative to Google Cloud Services
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:
- Apigee Integration
- Cloud Data Fusion
- Cloud Functions
- Cloud Composer
- Dataproc (Apache Spark)
Multi-cloud. The same solution.
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
Get a predictable and low bill. That you easily understand.
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.
Deliver ready-to-use data direct to BigQuery and other Google storage services from the Edge.
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.