🧐Rerunning the same query for every user? Maintaining complex streaming pipelines by hand? DolphinDB Streaming SQL lets you write SQL once and receive live, incremental results as data changes. medium.com/@DolphinDB_Inc/do… Learn more and try it in the latest #DolphinDB release. dolphindb.com/product#downlo… #StreamingSQL #TimeSeriesDatabase #RealTimeAnalytics #StreamProcessing #LowLatency #QuantTrading #DataEngineering

What happens when Materialize R&D gets a day and a half to build whatever they want? 🔹WASM UDFs 🔹 S3-backed upsert 🔹 Formal verification 🔹 EXPLAIN ANALYZE (now live!) All from our hackathon 🔗 bit.ly/4oGdXTu  #streamingSQL #databases #rustlang

👏Just wrapped up the very first #DolphinDB Tech Deep Dive livestream! We spent an hour diving deep into streaming SQL — the tech that's making real-time, high-frequency data processing actually possible. For everyone who joined live (and those catching up later), here's what we explored: ⚡ Our recipe for speed: → Process only new data (skip costly full scans) → Keep data hot in memory (no I/O bottlenecks) → Supercharge queries with hybrid indexing ✅ The numbers? We're talking 1,000 mixed operations per second with just 7ms from start to finish. That's the kind of speed that lets companies react to market changes, sensor data, or customer behavior in real-time. 👍Huge thanks to everyone who joined and brought such sharp questions — the Q&A was a highlight. 🔜 Next session: JIT-accelerated computation — you’ll want this on your calendar. 🌐 More info: dolphindb.com/ #RealTimeComputing #StreamingSQL #BigData #TechTalk #DataEngineering #JIT #FinTech #IoT #SmartManufacturing

💭DolphinDB Tech Deep Dive | #1: Streaming SQL Processing We’re excited to kick off our new “#DolphinDB Tech Deep Dive” series — a three-part tech talk designed to unpack the core technologies behind DolphinDB, built for high-performance real-time computing at scale. In this series, we’ll explore: 1️⃣ Streaming SQL Processing 2️⃣ Just-In-Time (JIT) Compilation 3️⃣ GPU Acceleration 🔹 Episode 1 Details 🗓 Date: Thursday, August 7 | 7:30 PM (GMT 8) 🎙 Speaker: Dr. Xuntao Cheng, Deputy Director of R&D Don't miss this opportunity to hear directly from our engineering team about the technical innovations driving real-time data processing. 📩 Register via email: info@dolphindb.com 🌐 More info: dolphindb.com/ #RealTimeComputing #StreamingSQL #BigData #TechTalk #DataEngineering #JIT #GPU #FinTech #IoT #SmartManufacturing

Day 1 at #Current2025 ✅ “Batch to streaming, data integration & GenAI in real data platforms — hot topics for a reason.” – @ESchmiegelow We’re back tomorrow. Come by the booth U1 — Kafka, Iceberg & real-time infra that works. #Kafka #StreamingSQL #GenAI #HivemindTechnologies

🚨 Today at #Current2025: MASTERING STREAMING. POWERING SIMPLICITY. KAFKA AND BEYOND. Come see us at the Hivemind booth — and let’s talk real-time data, GenAI, and scalable infrastructure.🗓 📍 Booth U1, 20–21 May #Kafka #StreamingSQL #ApacheIceberg #GenAI #ModernDataStack

Read most read article on PACMMOD, "What's the Difference? Incremental Processing with Change Queries in Snowflake" by Tyler Akidau, Paul Barbier, Istvan Cseri, Fabian Hueske, et al. bit.ly/47dX4Xa #datamanagement #streammanagement #streamingSQL #openaccess @SnowflakeDB

What sets transactional apart from analytical stream processing?🎙️ Find out in Ep.32 of the Real-time Analytics Podcast, as @tlberglund shares his insights on #StreamingSQL, @ApachePinot, and @apachekafka 📺 YouTube: stree.ai/youtube 🎧 Podcast: stree.ai/podcast

🔍 Diving Deeper into Caching & Computation Graphs! 🚀 When dealing with intricate computation graphs, the key lies in: Granular Change Tracking: Using CDC, we can capture not just that a change occurred, but specifically what changed. This granularity is pivotal for dependency management. Real-time Dependency Management with Streaming SQL: Modern streaming SQL platforms allow for on-the-fly data processing. As CDC captures changes, they're fed into these platforms. By implementing logic within our streaming SQL, we can track which parts of our computation graph are affected by a change. Scoped Memoization: Store intermediate computations and, when a change occurs, recompute only the affected parts of the graph. Efficiency at its best! In essence, combining CDC's detailed change tracking with the real-time processing capabilities of streaming SQL provides a robust solution to the challenges of caching in complex computation environments. #Caching #CDC #StreamingSQL #DataManagement

I just started a new YouTube series `Learn Streaming SQL in 3 min` youtube.com/playlist?list=PL… For anyone wants to get started with #datastreaming and #streamingsql or just #realtime #dataprocessing, hopefully you can learn something new(and useful) in each 3min short video

1/ We're back with a new post in our #streamingSQL series, this time exploring the Sliding Window Hash Join (SWHJ) algorithm. Shout out to @ApacheArrow and #DataFusion for providing us a great foundation on which we built our implementation. synnada.medium.com/the-slidi…

In this article, we compare running the same job in Flink's Datastream and Table APIs and discuss how the job's performance differs depending on the chosen API. Follow us in this journey of beating #FlinkSQL's performance 👇 bit.ly/3wfwL2a #SQL #streamingSQL

if you are remotely working on #datastreaming , you don't want to miss this talk by Hojjat Jafarpour, founder and CEO of DeltaStream.io. @DeltaStreamInc #kafka #kinesis #flinkforward #flink #streamingsql #streamingdatabase #deltastream

You know T-SQL? Then you're ready for stream processing with #AzureStreamAnalytics - Ok there's a thing or 2 more to know but the good thing is I'm going over it on Sept 23 at @dataaisummit - and it's free! dataplatformgeeks.com/dps202… @AzureStreaming #Azure #StreamingSQL

This articles showcases how you can build real-time applications with Flink #SQL and the use of MATCH_RECOGNIZE without touching a line of Java or Scala code Find out more 👇 bit.ly/3lbSPVB #ApacheFlink #FlinkSQL #streamingSQL

StreamingSQL完全に新しい世界な感じで面白そうだなー #CloudNativeDB

We the use of #FlinkSQL, we perform #realtimeanalytics on Apache Flink’s very own git repository. Follow the article below and learn how to do that with the use of #UDFs in Ververica Platform: bit.ly/3CJqvSp #SQL #streamingSQL

Using an ad tech #usecase, we showcase how you can leverage #FlinkSQL to build a monitoring system for the advertising industry. Check the details: bit.ly/3ouKdve #SQL #streamingSQL #realtimedata

Throwback to #flinkforward Global 2021 when Olena Babenko from @aiven_io discussed how #FlinkSQL can be used for both one-off analysis and for streaming #datapipelines. Check the recording: bit.ly/3KXKb8B #SQL #streamingSQL

📺 🎧 Listen to our very own @MartijnVisser82 explaining how #dataanalysts can use Flink #SQL to explore and transform data into insights and actions, without writing any Java or Python code in this #flinkforward talk: bit.ly/3fl5OBi #streamingSQL #FlinkSQL #ApacheFlink