🐝 +🔍 = ❤️ 𝐁𝐢𝐠 𝐍𝐞𝐰𝐬: 𝐁𝐲𝐭𝐞𝐰𝐚𝐱 𝐚𝐧𝐝 𝐋𝐞𝐧𝐬𝐞𝐬.𝐢𝐨 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐦𝐞𝐧𝐭. At Bytewax, we believe stream processing should be accessible to everyone. As organizations scale, handling stream processing efficiently becomes increasingly

✨ 𝘏𝘢𝘱𝘱𝘺 𝘞𝘰𝘮𝘦𝘯’𝘴 𝘋𝘢𝘺 𝘵𝘰 𝘵𝘩𝘦 𝘤𝘩𝘢𝘯𝘨𝘦𝘮𝘢𝘬𝘦𝘳𝘴, 𝘵𝘩𝘦 𝘥𝘳𝘦𝘢𝘮𝘦𝘳𝘴, 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘥𝘰𝘦𝘳𝘴!✨. Your brilliance, resilience, and kindness shape a better world.💛 May today be a reminder of your power and an inspiration for all the incredible things

👀 Following our S2 connector announcement this week, we're continuing the conversation on stream storage as a cloud-native primitive—this time with S2 (Stream Store). S2 rethinks storage for streaming data: unlimited streams, no brokers, elastic scaling down to zero. And now,

🚀 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐢𝐧𝐠 𝐭𝐡𝐞 𝐁𝐲𝐭𝐞𝐰𝐚𝐱 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐨𝐫 𝐟𝐨𝐫 𝐒𝟐! 🚀. We’re excited to introduce the Bytewax connector for S2 (StreamStore). S2 is the Stream Store, geared at bringing the object storage experience to streaming data. This means not worrying about

🤔 Who Should Care About Bytewax + @lensesio Integration—And Why?. Streaming is powering next-generation applications & AI. Here are a few industries that could benefit from this integration:. ✓ 𝐑𝐞𝐭𝐚𝐢𝐥 – Real-time brand detection in retail environments provides a

Following up on last week's announcement, we want to talk more about @bytewax and @lensesio integration. 𝐖𝐡𝐚𝐭 𝐃𝐨𝐞𝐬 𝐈𝐭 𝐌𝐞𝐚𝐧 𝐅𝐨𝐫 𝐎𝐮𝐫 𝐔𝐬𝐞𝐫𝐬?. Bytewax users can now:. ◆ Discover what real-time data already exists with 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚 𝐂𝐚𝐭𝐚𝐥𝐨𝐠.◆

🚀 𝐍𝐞𝐰 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐀𝐥𝐞𝐫𝐭! 🚀. Streaming data from Kafka into @SingleStoreDB just got easier. We've built a custom Bytewax sink that enables seamless real-time data ingestion, transformation, and storage—without unnecessary complexity. 🔹 𝐖𝐡𝐚𝐭’𝐬

🤔 𝐖𝐡𝐲 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧 𝐂𝐚𝐥𝐥𝐢𝐧𝐠 𝐀𝐥𝐨𝐧𝐞 𝐈𝐬𝐧’𝐭 𝐄𝐧𝐨𝐮𝐠𝐡. LLMs calling functions? Cool. LLMs executing functions? That’s where things get real. While OpenAI’s function calling lets an LLM request actions, it still relies on humans to execute them. The next

Stream processing should accelerate innovation, not slow teams down. Yet, many companies struggle with:. ⚡ Flink’s complex Java-based architecture that limits accessibility.🛑 High memory consumption—up to 25× more than Bytewax.⏳ Long development cycles that demand specialized

More details you can find in our recent blog ➡️

𝐃𝐚𝐭𝐚 𝐎𝐯𝐞𝐫𝐥𝐨𝐚𝐝? 𝐇𝐞𝐫𝐞’𝐬 𝐇𝐨𝐰 𝐭𝐨 𝐓𝐚𝐦𝐞 𝐭𝐡𝐞 𝐈𝐨𝐓 𝐂𝐡𝐚𝐨𝐬 🚀. By 2025, we’ll have over 75 billion IoT devices connected worldwide. 🌍 That’s more than 9 devices per person on Earth. Each device generates data nonstop from smart homes to industrial

RT @eigenrobot: my 3yo has had tons of dental/cavity issues. we've been taking her to dentists for years, and they have spent an awful lot….

Everyone’s talking about real-time AI—from streaming ML models to LLM-powered applications—but the tools for handling live data pipelines are still largely stuck in the Big Data era. Many AI engineers today aren’t data engineers—they focus on building and deploying models, not

The streaming ecosystem is filled with powerful tools, but not all of them have aged ❗️ gracefully. Some are resource-hungry, overly complex, or just don’t scale well for real-time demands. Others might have been the “default” choice years ago but now feel like baggage in a

🎙 𝐑𝐞𝐦𝐢𝐧𝐝𝐞𝐫: ByteTalks Podcast Is Here to Help You Build Better Analytics. We’ve noticed it’s easy to forget about great resources, so here’s a quick nudge—don’t miss our ByteTalks 🐝 podcast!. In one episode, we walk through using Bytewax with ClickHouse to set up.

🧐 "𝐃𝐮𝐫𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐢𝐬𝐧’𝐭 𝐨𝐩𝐭𝐢𝐨𝐧𝐚𝐥. 𝐈𝐭’𝐬 𝐬𝐮𝐫𝐯𝐢𝐯𝐚𝐥 𝐟𝐨𝐫 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬.". AI agents have come a long way, evolving from early rule-based systems to the self-learning reinforcement agents of the 2010s, to today’s LLM-powered orchestrators of

🤔 "𝘞𝘩𝘢𝘵 𝘩𝘢𝘱𝘱𝘦𝘯𝘴 𝘸𝘩𝘦𝘯 𝘢𝘯 𝘓𝘓𝘔 𝘴𝘵𝘰𝘱𝘴 𝘫𝘶𝘴𝘵 𝘢𝘯𝘴𝘸𝘦𝘳𝘪𝘯𝘨 𝘺𝘰𝘶𝘳 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯𝘴 𝘢𝘯𝘥 𝘴𝘵𝘢𝘳𝘵𝘴 𝘳𝘶𝘯𝘯𝘪𝘯𝘨 𝘺𝘰𝘶𝘳 𝘸𝘰𝘳𝘬𝘧𝘭𝘰𝘸𝘴?". In our blog, we unpack the agentic design pattern and demonstrate how tool calling empowers agents

🎯 “Operationalizing RAG: From batch processing to real-time APIs”. As part of our ongoing exploration into 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥-𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 (𝐑𝐀𝐆), we’re tackling one of the biggest challenges of 2025: bringing RAG workflows to real-time applications.

🚀 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐀𝐈 𝐈𝐬 𝐇𝐞𝐫𝐞 𝐭𝐨 𝐒𝐭𝐚𝐲 🚀. 2025 is here, and if there’s one thing we learned in 2024, it’s this: real-time AI isn’t optional anymore. Last year, we wrote about 𝘙𝘦𝘵𝘳𝘪𝘦𝘷𝘢𝘭 𝘈𝘶𝘨𝘮𝘦𝘯𝘵𝘦𝘥 𝘎𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘰𝘯 (𝘙𝘈𝘎) and how it’s

From our Bytewax family 🐝 to yours, we wish you a Merry Christmas and a spectacular New Year! ❄️💫 . This season, we celebrate not just the milestones we’ve achieved but the incredible community that makes it all worthwhile—you! . 💛 May your holidays be as unique and wonderful