The results are in...🥁The 2024 Data Streaming Report is HERE. We surveyed +4K IT leaders around the world to find out how they’re driving up to 10x ROI using data streaming. Inside, learn how streaming data plays a game changing role in: 🤖 Powering AI adoption and business agility 📈 Driving Impressive ROI and benefits 🌟 Maximizing data product adoption 👊 Combatting data challenges This is a must-read for data pros! Check it out now ➡️https://cnfl.io/3x0tTda
Confluent
Software Development
Mountain View, California 527,169 followers
Set data in motion.
About us
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Our cloud-native offering is the foundational platform for data in motion --- designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, our customers can meet the new business imperative of delivering rich, digital customer experiences and real-time business operations. Our mission is to help every organization harness data in motion so they can compete and thrive in the modern world.
- Website
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http://confluent.io/
External link for Confluent
- Industry
- Software Development
- Company size
- 1,001-5,000 employees
- Headquarters
- Mountain View, California
- Type
- Public Company
- Founded
- 2014
- Specialties
- Apache Kafka, Open Source, Stream Processing, Streaming Data, Event Streaming Platform, and Event-Driven Architecture
Products
Confluent Cloud
Event Stream Processing (ESP) Software
Confluent Cloud is the cloud-native service for Apache Kafka®. Connect and process all of your data in real time with a fully managed data streaming platform available everywhere you need it. Try it now for free!
Locations
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Primary
899 W. Evelyn Ave
Mountain View, California 94041, US
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1 Bedford Street
London, Greater London WC2E 9HG, GB
Employees at Confluent
Updates
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76% of IT leaders are achieving 2x-5x ROI on data streaming investments. See what over 4K tech leaders had to say about the game changing role of real-time data. Check out our 🆕 2024 Data Streaming Report. ➡️ https://cnfl.io/3x0tTda
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🚀 New Video Alert: "Schema Evolution with Zero Down Time"! 🚀 Dive into the complexities of updating production data streams without downtime as Wade Waldron explores a real-world banking system case study, focusing on compatibility guarantees, flexible data formats, and versioned events. Discover how Tributary Bank tackles #frauddetection with innovative techniques and faces the challenges of evolving schemas. Learn how they can evolve their message protocols and replace encryption algorithms in a live system without impacting end-users. Whether you're dealing with additive changes or critical security updates, this video provides insights into managing #schemaevolution effectively, minimizing risks, and avoiding downtime. Perfect for developers and architects in the event-driven landscape. 🎥 Watch now and join the discussion ➡️ https://cnfl.io/469xsuy
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🩺 In #healthcare, every second counts. That's why real-time data is mission-critical for City of Hope's clinicians and patients. Head to our blog to learn how one of the largest cancer research treatment organizations in the United States unlocked the power of their data using #ApacheKafka and Confluent to build a real-time AI prediction model to prevent and predict the risk of sepsis in bone marrow transplant patients. → https://cnfl.io/46nUPAZ
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Writing a KIP (Kafka Improvement Proposal) is one of the most impactful ways to contribute to the #ApacheKafka community, but getting started can be daunting. In her recent blog post, Lucia Cerchie walks you through the process, so you can take your KIPs from zip to VIP! Read it here ➡️ https://cnfl.io/4bkAcHh
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What's RAG got to do with it? Whether you're using GenAI to build a chatbot, make personalized recommendations, or even optimize a supply chain, you'll need to ensure it's using reliable, up-to-date, and contextualized data. That's where Retrieval-Augmented Generation comes in. Take a deep dive into RAG and how it enhances the accuracy and relevancy of LLM responses to minimize hallucinations. ➡️ https://cnfl.io/3VO5voI
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Last Friday, we hosted our annual #WomenInTech event at our Bangalore office! Across a keynote, two interactive sessions, a panel discussion, and plenty of networking, we spent the evening learning, connecting, and—most importantly—working together to foster an empowering and inclusive environment for women in the tech space. We're incredibly grateful to everyone who attended and want to extend a major thank you to our speakers: Ankita Yadav, Surabhi Singh, Nidhi Sadanand, Sanjay Awatramani, Pooja Kuntal, Debasree Mitra, and Srinivasulu Grandhi! Same time next year?
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Meet #ConfluentCatalyst Pavan Keshavamurthy! Pavan shared with us how he got involved in the #apachekafka/#apacheflink community, what he enjoys most about being a part of it & advice for new developers. Check out his story below and learn more about our Catalysts of the week here ➡ https://cnfl.io/3vV53uC
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As a Customer Marketing Manager on the brand marketing team, #ConfluentChampion Alexri Patel-Sigmon collaborates with teams across marketing, sales, product, and more to help bring our customers' stories to life. Head to our blog to learn more about her love for customer storytelling, her personal & professional growth, and what she sees coming next for her career! 👉 https://cnfl.io/3Wiu2Cv
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In a world where digital threats are constantly evolving, having accurate, real-time data for security scanning cannot be overstated. To keep up with the ever-increasing number of security threats, SecurityScorecard analyzes over 300 types of issues and identifies 200+ billion security vulnerabilities daily using real-time data streaming. Discover how this cybersecurity platform saved $2M+ in their streaming infrastructure using Confluent compared to managing open-source #ApacheKafka in-house. Read the full story in The New Stack. ↓