Bytewax

?? Level Up Your Data Processing with Bytewax v0.20! Bytewax v0.20 brings critical updates to improve?your workflow. The newly added Dataflow Visualizer provides a graphical representation of your data pipelines, making them easier to navigate and optimize. ?? We've also restructured our core operators to boost data handling efficiency, ensuring smoother operations within your applications. Ready to upgrade your data streams? ?? https://lnkd.in/e-WQPyxk

?? ???????????????? ???????????? ???????????????????? ?????? ?????????????????? ???????????? ???????????????? Real-time data demands real-time solutions. That’s why we’re excited to announce Bytewax’s integration with?DuckDB?and?MotherDuck, combining the power of stream processing with high-performance analytics. This integration offers practical new capabilities: ?? ????????-???????? ????????????????????:?Seamlessly stream metrics into DuckDB for live insights. ?? ???????????? ??????????????????:?Merge on-premises processing with cloud scalability using MotherDuck. ?? ?????????????????? ?????? ??????????????????:?Stream, transform, and store data in real-time without complexity. ???????? ?????????????????????? ???? ?? ?????????????????? ???????????????? ?????? ???????????????? ???????????????????? ?????? ???????????????? ?????? ??????????????????. Find out how it works in our own Laura Funderburk's latest blog (link in the comments).

One hour ALERT! ?? Don’t Miss This at #OSACON! ?? ???? ????:???? ???? ??????,?our very own Laura Funderburk will share how?real-time data streaming is shaping AI’s future. ???Topic: ?????????? ?????????????????? ???? ????: ?????????????????????? ?????????????? ???????????????????? ?????? ????????????? - Learn how to make your AI systems more adaptive and responsive. - Discover the role of Python and Bytewax connectors in processing live data streams. - Explore real-world applications of real-time data for edge devices, events, and distributed databases. ??? Free to join— https://lnkd.in/gmJt_rdH Come and see how?streaming data meets AI innovation.?? The Open Source Analytics Conference (OSA Con)

????????? ???????????? ???? ????????-???????? ???????? ?????????????????????? ???? ??????????????. We recently announced ?????????????? ?????????????? and wanted to share a bit more about them. ???? ?????? ???????????? ?????? ??????????????, ?????????? ?????? ?????? ???????? (???????? ???? ?????? ????????????????). Building and maintaining real-time pipelines has always been resource-intensive. According to McKinsey,?????% ???? ???????? ??????????????????’ ???????? ???? ???????????????? ???? ???????????????????? ??????????, while Gartner reports that?????% ???? ?????????????????????????? ???????????????? ???????? ?????????????????????? ???????? ???????? ?????????????? ??????????????.?These challenges slow progress and inflate costs. ? Bytewax Modules are built to address these exact pain points: ? ??????-?????????? ?????????????????????for seamless integration with systems like Kafka, Redis, and Snowflake. ? ???????????????? ?????????????????? to handle stateful transformations and dynamic workflows with ease. ? ?? ????????????-???????????? ???????????????????that empowers teams without the need for JVM expertise. ?? The result? Faster pipelines, lower overhead, and a renewed focus on innovation. The State of Data Management report confirms that?????% ???? ?????????????????????? ???????? ???? ?????????? ???????????????? ????-?????????? ????????????????????—time that could be saved using our modular approach. And this is just the beginning. Over the coming weeks, we’ll explore each module, showcasing its real-world applications and the impact it can have on your workflows. ?? In the meantime, we’d love to know what the biggest barrier to scaling your data pipelines today is.

?????? Reaching 500k downloads isn’t just a number; it’s a reflection of a vibrant, growing community. ?? Thank you to every developer who’s chosen Bytewax to build real-time dataflows. We’re excited to keep evolving and delivering even more with our new modules!

?? While building a company that delivers open source software, definitive metrics aren't always the easiest. You don't have signups, you don't know who churned, you don't have usage metrics and all the other nice SaaS metrics. As a result, at Bytewax there are many metrics we use as a guide to the growth and health of the open source project: GitHub stars, contributions, community size on Slack, newsletter subscribers, LinkedIn followers, website visits, documentation views, and downloads. A combination of those metrics are important in providing a holistic view, but if there is one metric that most closely tracks the adoption of our open source framework it is the number of downloads.* ?? That’s why reaching 500k downloads on PyPi is a milestone I’m really proud of! ?? It reflects a large and growing number of developers placing their trust in our dataflow framework to build powerful real-time applications in Python. It’s a testament to the hard work of the Bytewax team and the amazing group of users that decided to take a leap of faith on Bytewax. At the time of this exciting milestone, we have also changed our offerings to adapt to user requests as they grow with Bytewax. Last week we added pre-built extensions to the open source framework in Bytewax modules. Modules are stand alone Python packages that contain connectors, operators, or complete dataflow code to speed up development and increase capabilities. We endeavor for the software we build to align with the principle of making one developer go faster and further and we think modules do just that! Modules are commercially licensed and source available so you can give them a spin locally before you push to production with a license. Check out the modules here - https://lnkd.in/gJz5_tQ5 and read more about it here - https://lnkd.in/gGWSfJSP A big thank you to everyone who has supported us, whether you’re using Bytewax in the open source, on our platform, or following our journey. We owe it to you in reaching this milestone. * PyPi downloads are notoriously noisy! But it's the best data available

Stale data and hallucinations are the Achilles’ heel of AI applications. As Daniel Palma highlights, managing context lengths, embedding generation, and ensuring data relevance are critical challenges for RAG systems. At Bytewax, we ???????????????? ????????-???????? ??????????????????, helping ?????? applications ???????? ???????????????? and up-to-date with ?????????????? ??????. Real-time insights are no longer a luxury—they're essential for AI to deliver real value. That’s the question: ?????? ???? ???????? ???????? ???????????????? ?????? ?????????????????? ???? ?????????????? ???? ?????????????? ?????????? ?????? ?????????????????

????????? ???????????????? ????????: ?????????????? ?????????????????? ?????????????????? Discover how Bytewax makes real-time dataflows simpler and more effective. ?? ???????? ???????????????? ?????????? ?????? ?????????????? ?????? ????: · Set up tumbling windows for fixed-time aggregations · Use sliding windows for smooth data trends · Dynamically group events with session windows This tutorial also covers ????????-???????????? ???????? ???????????????????? ???????? ???????????? ???????? and a ???????????????????? to help you get started quickly ?? Check it out here: https://lnkd.in/gyYeVK6b #Python #RealTimeData #DataEngineering

?????????????? ??????????! ?? Let’s be honest—data engineering is full of bottlenecks. Building custom connectors, writing boilerplate code, debugging integrations… it’s the work no one wants, but everyone needs. That’s exactly why we launched the Module Hub. It’s not just a toolset; it’s a smarter way of thinking about real-time pipelines. "???????? ?????????? ?????? ???????? ???????????? ???????? ?????? ????????. ?????????? ???????????????? ???? ???????? ???????????? ??????????????." That’s what our CEO,?Zander Matheson,?envisions for every team using Bytewax. ?? These are the incredible companies whose technologies power the new Bytewax modules — find all the details in our blog. ?? https://lnkd.in/eCi-hNjG Apache Kafka, Google BigQuery, Hopsworks FS, AWS Kinesis Streams, ClickHouse, MongoDB, MQTT, Delta Lake, RabbitMQ, AWS IoT Gateway, Azure IoT Data Hub, Redpanda Data, Amazon MSK, Confluent, Redis, Websockets, Snowflake, Qdrant, Milvus, Pinecone, Oracle MySQL, Google Vertex AI, Amazon SageMaker, Feast, Weaviate, InfluxData, Microsoft Azure AI Search, and more.

Thrilled to be listed among Estuary’s partners! ??? At Bytewax, we’re passionate about simplifying real-time dataflows, and our collaboration with Estuary is a huge step toward making that happen. Check out their new partner page and see what we’re building together! ??