InfinyOn, a real-time event streaming company, announces the v0.10 beta release of the InfinyOn Cloud platform. Building an infrastructure for real-time event streaming is challenging, expensive to scale, and difficult to operate. InfinyOn Cloud provides a modern approach that reduces the cost and complexity of operating and managing real-time data pipelines.
Enterprises can bring real-time intelligence to data pipelines for Edge and Cloud use cases with InfinyOn Cloud. “We were able to rapidly build an event driven architecture with end to end data pipelines that sourced MQTT data, with inline transformations and sink it to a postgres database” said Ben Cleary, CTO of Klarian. “InfinyOn Cloud has enabled Klarian to build highly tuned data models, delivering actionable insights within the energy sector.”
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InfinyOn SmartModules, powered by WebAssembly, allows users to program unique functions, apply intelligence and enrich data. “WebAssembly allows small data processing modules to be moved anywhere at a fraction of the cost when compared with VMs or containers” said Alex Williams, Founder and Publisher for The New Stack. InfinyOn users can apply filters, mask private fields, remove invalid records, and use machine learning at the edge or in the Cloud in a single platform.
Shift from ETL to STL
InfinyOn introduces a new concept of Stream, Transform and Load (STL), a fundamental paradigm shift from Extract, Transform and Load (ETL). Traditional ETL pipelines are batch driven and often consist of a fragmented architecture that is difficult to manage and includes lots of software or microservices to make data usable.
“Implementing the novel concept of STL, users can quickly build programmable data pipelines for real-time actionable insights.” said Grant Swanson, InfinyOn VP of Marketing. “Eliminating ETL tools creates substantial cost savings and a simplified architecture for our users.”