InfinyOn的封面图片
InfinyOn

InfinyOn

软件开发

Santa Clara,CA 1,406 位关注者

Transform your data into real-time intelligence.

关于我们

InfinyOn is a next-generation streaming platform that unifies your data flows, accelerates processing with Rust and WebAssembly, and empowers developers to build responsive, intelligent applications at any scale. Turn streaming data into your competitive advantage. InfinyOn Cloud uses Fluvio data streaming runtime written in Rust, and composable building blocks for collecting, processing, and materializing events to build robust end to end data flows in one place. Technically, InfinyOn Cloud combines the power of a distributed event log, a stateful stream processing runtime, and a workflow orchestrator in a unified composable data platform with flexible primitives. Data Platform, Developers use InfinyOn cloud and Fluvio in their preferred WebAssembly compatible language to build efficient, inexpensive, reliable, reusable data flow patterns fast.

网站
https://www.infinyon.com
所属行业
软件开发
规模
11-50 人
总部
Santa Clara,CA
类型
私人持股
创立
2019

产品

地点

InfinyOn员工

动态

  • 查看InfinyOn的组织主页

    1,406 位关注者

    We just updated our page to improve clarity. Does this resonate with you? Is this clear? Do you understand what we do? Transform your data into real-time intelligence. InfinyOn is a next-generation streaming platform that unifies your data flows, accelerates processing with Rust and WebAssembly, and empowers developers to build responsive, intelligent applications at any scale. Turn streaming data into your competitive advantage.

  • InfinyOn转发了

    查看Debadyuti Roy Chowdhury的档案

    ?? Data product attaché

    Building AI agents? You're probably facing these 3 challenges: - 78% of agent systems fail at state management - 2.7s average response delay kills user experience - 63% accidentally expose API keys These are the top issues with Agentic AI applications at the moment. Curious how you are solving these problems. Have you looked at your infrastructure yet?

  • InfinyOn转发了

    查看Matthias Endler的档案

    Rust Consultant, host of 'Rust in Production' podcast

    'Rust in Production' Season 3 was a wild ride! You know the drill by now. It's time for our big finale. ?? We had 8 guests from a wide range of industries: From automotive to CAD software, and from developer tooling to systems programming. And now, sit back, get a warm beverage, and look back at the highlights of Season 3 with us. Go here for the episode: https://lnkd.in/e2qDgJ9b Special thanks to our amazing guests Conrad Irwin, Debadyuti Roy Chowdhury, Steve Klabnik, Scott Chacon, Kiril Videlov, Jessie Frazelle, Anton Lazarev, Julius Gustavsson (in order of appearance). You're the best! ?? See you in April for season 4! Subscribe to stay in touch.

  • InfinyOn转发了

    查看Debadyuti Roy Chowdhury的档案

    ?? Data product attaché

    Reality of Unified Composable Data Architecture. Unification. Composability. Shift left. Are things that you must have heard. What it means and how it applies to you could be skewed based on your context. There is an excellent VLDB paper on the topic published in 2023, not many implementations yet. Here is how we look at unified, composable data stack at InfinyOn. It must be: 1. Decoupled but integrated. 2. It needs to reduce system hops and impedance mismatch. 3. It needs to offer control, flexibility, and developer ergonomics. If you’re a resourceful innovator and builder, now's the time to get hands-on! Clone the public repository "Stateful DataFlows Examples" on InfinyOn GitHub and follow the instructions in the readme. [Link In Comments] You can have it all running in 7-10 minutes!

  • InfinyOn转发了

    查看Debadyuti Roy Chowdhury的档案

    ?? Data product attaché

    Beyond the $1.5B Red Panda Acquisition Rumors. Everyone's buzzing about what this means: Snowflake entering streaming? What's Databricks' move? $1.5B for $20M ARR (that 75x multiple! ?? allegedly) Thanks to Stanislav Kozlovski for the awesome take. And John Kutay for the raw humour. And Paul Dudley for calling out the BYOC pattern. And Daniel Palma for the "AI Data Cloud" reference. But here's what nobody's mentioned yet... So here I go: If you think Red Panda is the only high-performance alternative to Kafka, you're wrong. If you think Kafka wire compatibility is the end all be all, let's ask what happens to the data after Kafka? Let me explain: Consolidation in the data world has been a long time coming - ask Benjamin Rogojan But the puck does not stop there. There is fundamentally better technology on the horizon. Here's the reality: Market share matters, but... Kafka & Red Panda solved real problems. They deserve a lot of respect for blazing the trails. But.. massive funding & marketing ≠ technical superiority. The revolution in streaming isn't just about capital or consolidation. RedPanda will certainly get much stronger distribution with Snowflake. But account based marketing needs to be coupled with a outstanding product experience. There is an architectural upgrade coming. Core: Rust + WebAssembly = bare-metal performance Interface: SQL + Python = developer productivity Result: Single-digit milliseconds without the infra overhead The data platform market needs platforms that deliver: 1. True performance without resource waste 2. Developer ergonomics without compromise 3. Cost-effectiveness at scale 4. Edge-to-cloud flexibility Sounds like it's super simple. Simple but not easy.

  • InfinyOn转发了

    查看Debadyuti Roy Chowdhury的档案

    ?? Data product attaché

    Happy Saturday to data platforms and pipelines builders near Waterloo! Prateek and I are collaborating to create a series of events on data platforms and pipelines in Waterloo. Ideation around this series began in conversations with Arpit a while back. Continued with inputs from Ramona, Kalyan, Dipankar, Sarwar. Finally, here we are! The first event on 21st Jan 2025 at the Startup Barn a.k.a. Builders Club. It's a really cool space that I have enjoyed being at for the past few months. Checkout Jesse Rodgers' profile for more on the space. Grateful for the support from Fractalpoint Technologies, databeats, and InfinyOn as well. Will announce the agenda over the coming days and outline a cadence over the first few weeks. If you are into data pipelines, platforms, products, infra and you are within a reasonable distance from Waterloo - consider joining us.

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  • InfinyOn转发了

    查看Fractalpoint Technologies的组织主页

    17 位关注者

    ?? Exciting News! Fractalpoint Technologies and InfinyOn are thrilled to co-host the Data Platforms and Pipelines Meetup on January 21st in Kitchener, Ontario! This event will feature insightful tech talks in the Data Platform Engineering space and offer a great opportunity to network with fellow industry professionals. We’re excited to share that our founder, Prateek Sanyal, will be delivering a talk on building robust CDC (Change Data Capture) pipelines. ? Bonus: Attendance is free! However, space is limited, so sign up early to secure your spot! We can't wait to meet you—see you there! https://lu.ma/9otmju02

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