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 531,755 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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ICYMI: #ApacheKafka 3.8 dropped last week, featuring 17 new KIPs! From a container for enterprise Java environments to more control over compression levels, learn all about what's 🆕 on The New Stack.
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Getting started with retrieval-augmented generation (RAG) for GenAI? Here's your chance to learn from the experts! 📚 On August 29, Britton LaRoche and MongoDB's vasanth kumar will take you through the 4️⃣ key steps to implement RAG, share a step-by-step vector embedding tutorial, answer your burning questions, and more! Don't miss out—secure your spot today: https://cnfl.io/4dzzKX3
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When adding all of their clients to a new Confluent Cloud-based architecture, interactive ad-tech platform Skai realized their initial design would require 90,000 topics in order to accommodate everyone. Using many-to-one relationships between producers and topics, and between consumers and topics, Skai devised an ingenious architecture that reduced that number to 1,800 topics. Learn how they did it in a new blog: https://cnfl.io/3WIEQcf
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If you are stuck using a Kafka client based on a non-recent version of Apache Kafka, there are many reasons why you should consider upgrading, including: ➤ Greater compatibility and support ➤ Critical bug fixes and security patches ➤ Improved performance ➤ Exciting new features ➤ Reliable long-term maintenance In his new Medium post, Gilles Philippart shows you exactly what you're missing—version by version! Read it here ➡️ https://cnfl.io/3M2YZVi
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🔒 Protect your data streams with confidence! Join our upcoming webinar to explore the latest security features in Confluent Platform and learn how to safeguard your real-time data. From Secret Protection to guard critically sensitive information and OAuth support to reduce your operational burden, we’ve got you covered! Save your spot now ➡️ https://cnfl.io/3SCBu9n
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🟢 Start using whatever processing or query engine is best for the job. 🔴 Stop worrying about coordinating multiple copies of the same data. That's the beauty of a headless data architecture. Want to learn more? Check out Adam Bellemare's InfoWorld guide to learn how you can manage your data from a single logical location!
A developer’s guide to the headless data architecture
infoworld.com
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It's never been easier to run integration tests for Kafka applications with Testcontainers using the new GraalVM-based native Kafka Docker image, available in #ApacheKafka 3.8. The image is slim, resulting in quicker downloads, starts super fast, and its low memory footprint means more tests can be run in parallel on your laptop or CI/CD server. Watch the below demo to see 100 tests being run, each with its own isolated native Kafka container, in just over 20 seconds (on a 2019 MacBook Pro). Want to learn more? Check out the tutorial here ➡️ https://cnfl.io/4dDLtDg
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The Confluent Cloud Homepage has a new look! Using customer feedback, usage data, and UX research—the Confluent Cloud Homepage UI was redesigned, and now provides more relevant and actionable information immediately when you arrive in the Confluent console. Features include: ★ The ability to click on the Clusters or Topics overview and see a modal with all Clusters/Topics you have access to in a single place. ★ Improved health indicators show things like Errors (red diamond), Warnings (orange triangle), and Healthy (green circle) statuses. ★ The new Favorites and Recently visited resources tiles on the Homepage provide quick access to frequently used and/or favorite resources. ★ The Discover data tile allows you to easily discover, explore, and access newly created topics. ★ The Recommended actions tile contains recommendations and configuration options that will help you more easily build your data streaming infrastructure. ★ The Learn more section on the new Homepage keeps you informed and up to date with the latest blog posts. … and more! Get all of the details here ➡️ https://cnfl.io/3SCEa6X
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🚨 Complete Course Alert: Designing Event-Driven Microservices 🚨 Learn the fundamentals of microservices and their role in building event-driven architectures with this 3-hour, intermediate level course from Wade Waldron. Topics include: ▸ Data ownership ▸ The dual-write problem ▸ Event sourcing ▸ Schema evolution ▸ Asynchronous events ▸ A rich set of case studies … and more! Get started on Confluent Developer ➡️ https://cnfl.io/3YHmURA
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