Use Cases
Docs
Blog Articles
BlogResources
Pricing
PricingTransform, Enrich, Materialize Event Streams
100x streaming system for developers to build AI native
data pipelines with APIs, edge, sensors, and logs.
The Modern Data Stack is Inefficient
InfinyOn Cloud
Accelerate Real-Time AI
Build with a complete framework for edge to core AI data pipelines.
- Edge AI:
- Run ML models on the edge.
- Continuous Enrichment:
- Enrich with Causality and Generative AI.
- Observable AI Pipelines:
- Monitor model performance, drift, and more.
Get Real-Time Insights
Operate end-to-end real-time data pipelines.
- Rust, Python, SQL:
- Compose data flows in Rust, Python, and more.
- Stateful DataFlow
- Build data pipelines with state management built in.
- Built in metrics
- Monitor and debug complex data flows at ease.
Control your data stack
Never lose data. Get the data you need on demand.
- Programmable Connectors:
- Get the data you need from any source.
- Edge Mirroring:
- Prevent edge data loss even with network disruptions.
- Delivery Guarantee:
- You control delivery semantics and idempotence.
Technology Leaders Experience
By adopting InfinyOn Cloud, we've transformed our engineering velocity and eliminated the roadblocks and delays associated with traditional systems and services, empowering our teams to focus on innovation and growth.
Capabilities
Lightweight
37 Mb Fluvio binary runs on ARM64 edge devices with minimal resources.
What data practitioners say
-
Artem
Data Platform Architect
"I would love a unified solution without the memory limitations of JVM based tools."
-
Joao
Cloud Infrastructure Architect
"It was awesome to see the CLI experience. That's like a million times better than Kafka. I think it's uncomfortable how much better it is than the Kafka."
-
Jowanza
Data Practitioner, CEO, Author
"The event based approach without babysitting a bunch of point solutions is the way I want to build."
Frequently Asked Questions
-
InfinyOn is a lightweight composable streaming system, diverging from existing solutions that cobble together multiple tools and libraries. At the core of InfinyOn is Fluvio distributed streaming engine built from the ground up to be lean, secure, and efficient. InfinyOn includes a complete suite of CLI tools, APIs, and SDKs, to give developers the control and the flexibility to create modular, end-to-end data flows. Majority of the streaming ecosystem is filled with tools which focus on optimizing existing components—such as enhancing storage speed, file formats, metadata usage, and infrastructure management. Fluvio takes a fundamentally different approach to build foundational tech. Built from scratch using Rust, it leverages cutting-edge advances in hardware, kernel, and compiler design to ensure superior performance, memory safety, and resource efficiency. InfinyOn uses WebAssembly for data processing packages to implement nimble, secure, and flexible components. This cohesive design offers developers a unified paradigm for building streaming applications, eliminating the complexity and integration challenges associated with piecing together disparate tools and libraries.
-
The components of InfinyOn are: Fluvio Core: Distributed streaming engine or runtime. Over 200k lines of code packaged in a single 37 MB binary. Download with a script, manage using fluvio version manager, deploy on ARM64 edge devices. Cloud native deployment using Kubernetes on InfinyOn Cloud. Fluvio CLI: Fluvio command line interface or CLI is for users to setup and run Fluvio streaming engine on their terminal. Fluvio Clients: Rust Client, Python Client, Node Client and additional community clients. Connector Development Kit(CDK): Fluvio connector development kit is for developers to build connectors to data sources like mqtt, http, s3 etc. as well as data sinks like s3, databases, consumer applications. Smart Module Development Kit(SMDK): Fluvio smart module development kit is for developers to build smart modules or packages to run unbounded transformations on connectors to collect and distribute data with deduplication, filters, flattening etc. Smart modules are like lambdas to transform streaming data. Stateful Data Flow(SDF): Stateful data flow is a developer toolkit to build, deploy and maintain end to end stateful streaming data flows on Fluvio. Stateful data flow provides developers with a ruby on rails type experience to express schema, types, state objects, and business logic operators to express chain of stateful and stateless transformation on streaming data.