🍂 November flew by at full speed as we raced toward the end of the year! We packed the month with exciting updates to our product and documentation. And guess what? December is shaping up to be even busier with a lineup of amazing events! Don’t miss out—check out our latest newsletter to stay in the loop! 📩✨ #risingwave #dataprocessing #streamprocessing
RisingWave
Software Development
San Francisco, California 9,568 followers
Reimagine stream processing. SQL database for stream processing, analytics, and management. Postgres-compatible.
About us
RisingWave is an open-source distributed SQL database for stream processing. It is designed to reduce the complexity and cost of building real-time applications. RisingWave offers users a PostgreSQL-like experience specifically tailored for distributed stream processing. Learn more: https://risingwave.com/github. RisingWave Cloud is a fully managed cloud service that encompasses the entire functionality of RisingWave. By leveraging RisingWave Cloud, users can effortlessly engage in cloud-based stream processing, free from the challenges associated with deploying and maintaining their own infrastructure. Learn more: https://risingwave.cloud/. RisingWave Labs is the company behind the development of RisingWave. Established in early 2021, the core vision of RisingWave Labs is to augment enterprise data platforms by delivering timely, reliable, and cost-efficient processing of event data in real time. RisingWave Labs has raised over $40 million from some of the world's best investors. Talk to us: https://risingwave.com/slack.
- Website
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http://www.risingwave.com/
External link for RisingWave
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2021
Locations
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Primary
95 3rd St
2nd Floor
San Francisco, California 94103, US
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16 Collyer Quay
Downtown Core, Central Region 049318, SG
Employees at RisingWave
Updates
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Build a ChatGPT RAG Data Pipeline with RisingWave Stream Processor and Vector Store 🌊 Live hands-on as Mary Grygleski & Rayees Pasha build a ChatGPT RAG Data Pipeline using RisingWave and PgVector⚒️ Key highlights: 🔹 Stream X (Twitter) data with Kafka 🔹 Analyze hashtags in real-time with RisingWave 🔹 Create smart prompts using vector embeddings for ChatGPT-powered insights! 📺 Live coding demo WATCH NOW: https://lnkd.in/d76pGnxm #GenAI #RisingWave #Kafka #PgVector #RealTimeAnalytics #RAG #streamprocessing
Build a ChatGPT RAG Data Pipeline with RisingWave Stream Processor...- Mary Grygleski & Rayees Pasha
https://www.youtube.com/
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It's poll time 🔎 let's find how RisingWave + Apache Iceberg is being leveraged among the community 👇 let us know your take! #RisingWave #datastreaming #ApacheIceberg #SQL #DataLake #Analytics
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🔥 We’re thrilled to invite you to an in-person meetup with our partners & friends, QuestDB, on December 12 in Singapore! Join us for an insightful discussion on leveraging #realtime stream processing to tackle key challenges in capital markets! 💲 🎙️ Speakers: Nicolas Hourcard, CFA and Vlad Ilyushchenko 🇺🇦 (QuestDB) - Analyzing Financial Markets with #SQL: Functions and Queries Xiangyu (Samuel) Hu (RisingWave) - Real-time Market Analysis: SQL in Stream 🎟️ Save your spot here: https://lnkd.in/ghYXDdk3 #risingwave #dataprocessing #streamprocessing
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Sail the data ocean with ICEBERG & RISINGWAVE ⛵ Check out this snippet which demonstrates Append-only sink from append-only source 🌊 If you have an append-only source and want to create an append-only sink, set type = append-only in the CREATE SINK SQL query. Read more in our docs👉 https://lnkd.in/gDt_DXij #RisingWave #ApacheIceberg #SQL #DataLake #DataStreaming
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🔥 Join us on December 5 for a Streaming Connect webinar – Real-Time Production Line Monitoring Using Coreflux and RisingWave – with Hugo Vaz (Coreflux) and Emily L. (RisingWave)! 🏭 Manufacturers are transforming operations with #realtime #dataprocessing to boost efficiency, detect issues faster, and streamline supply chains. However, implementing the right solution can be challenging. Rising and Coreflux seem like a perfect match. Learn why! 🤓 🎫 Save your spot here: https://lnkd.in/gggpRdmd #risingwave #smartmanifacturing #IIoT #IoT
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🔎Real-Time IoT Monitoring with RisingWave & HiveMQ! In this Blog, we explore how to achieve real-time IoT device monitoring using RisingWave and HiveMQ! 📊 👀 We’ll walk you through: ▶️ Setting up a cluster in HiveMQ Cloud ▶️ Publish the Data from IoT devices to an MQTT broker in the HiveMQ Cloud. ▶️ Ingesting the IoT data into RisingWave from the HiveMQ broker using RisingWave MQTT source connector ▶️ Analyzing real-time data with materialized views using time-window functions and aggregations ▶️ Visualizing the analyzed data to detect anomalies and trends 📃Read the full blog by our dev advocate Fahad Shah to get started: https://lnkd.in/g5K4U7Ts 🚨 Join our slack : go.risingwave.com/slack #MQTT #IIOT #digitaltransformation #realtimeanalytics #SQL
IoT device monitoring using the dynamic duo of RisingWave and HiveMQ
https://risingwave.com
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What’s your preferred format for managing data in a lakehouse environment? 👀 Looking forward to your insights ⚡what makes your pick the ultimate choice? #DataStreaming #ApacheIceberg #DataLake #SQL #LakeHouse
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Take the leap with ICEBERG & RISINGWAVE 🚀Apache Iceberg is a table format designed to support huge tables. Check out this snippet which shows HOW to batch ingest data from Apache Iceberg to RisingWave using the Iceberg source in RisingWave⚙️ We use the storage catalog for this one , storage catalog stores all metadata in the underlying file system, such as Hadoop or S3. Below is an example of how a big retailer manages their sales data. Read more within our docs 👉 https://lnkd.in/dxQWwtPC #RisingWave #ApacheIceberg #SQL #DataLake #DataStreaming