A modern, extensible framework that makes it simple to get stateful streaming data & event-driven applications to production fast, regardless of scale.

Wallaroo Example Use Cases

Streaming Data Analytics and Aggregations

Use Case: High Volume Join & Analysis of Events

• Wallaroo makes it easy to maintain in-memory state
• High volume data sources can be ingested with confidence of data integrity and resiliency
• Wallaroo handles the scaling of application processing capacity to efficiently support bursty event loads

On-Demand Data Science Processing at Speed & Scale

Use Case: Fast Analysis of Large Data Sets

• Framework allows data scientists to quickly operationalize their code without worrying about infrastructure
• Provide accurate and resilient completion of processing
• Automate dynamic provisioning, distribution of data and code, orchestration of the cluster and processes and release of the infrastructure

Run Algorithms & Analytics Where You Need To

Use Case: Process Continuous Streams of Data Near the Source

• IoT or cyber use cases where processing at the edge is important.
• Develop portfolio of interacting analytics & services running where they can be optimized.
• Leverage the same extensible framework for all of your algorithms no matter where they are running.