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Enterprise Layer Intelligence
Categories/Data Platform & Integration/InfinyOn
InfinyOn

InfinyOn

Founded 2019

Build and run real-time event streaming data pipelines from edge to cloud

Pricing model

Free Tier, Paid

You can use InfinyOn to build and deploy real-time event streaming pipelines without managing complex infrastructure. It combines a lightweight distributed streaming engine with WebAssembly-based processing modules to filter, enrich, and transform incoming data on the fly. You can run data flows on edge devices or in the cloud using a tiny binary footprint. The system lets you connect data sources like MQTT, HTTP, and Amazon S3, query live event streams with SQL, and deliver clean data to consumer applications or databases.

What InfinyOn does

Ingest streaming records from MQTT and HTTP sourcesWrite stateful data transformations using Rust and WebAssemblyQuery live streaming data using standard SQL syntaxDeploy stream workers to lightweight edge devicesExport processed stream outputs into databases and S3 bucketsManage data schemas and state objects across data flowsSingle compact 37MB binary that runs on edge devices and serversWebAssembly modules for fast, isolated data transformationsStateful stream processing framework to track state across eventsStreaming SQL queries for real-time data analysisPre-built and custom connectors using the Connector Development KitLocal testing environment that deploys directly to the cloudBuilt-in offline caching and message mirroring to prevent data loss

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
On-Prem CommunityFree
On-Prem Startup$100 / mo
On-Prem Enterprise$2,000 / mo
Cloud Start$100 / mo
Cloud Scale$500 / mo
Cloud Enterprise$1,000 / mo

Frequently asked

KubernetesKubernetes

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InfinyOn, Fluvio, Data Pipeline, stream processing, real-time analytics, event-driven architecture, WebAssembly, Rust, Stateful Data Flow, edge processing, event streaming, data connectors, streaming SQL, Kafka alternative, Flink alternative