Timeplus

📢 Timeplus 3.0 is now GA! This version of our single-binary, vectorized #streaming #SQL platform simplifies real-time data pipelines & scales efficiently to massive workloads. 50GB/s processing throughput. Zero replication. Zero lag. 👉 Learn more: timeplus.com/post/timeplus-…

#OpenClaw is one of the most popular open-source AI agent frameworks, but has significant security flaws w/ up to 20% of community packages flagged as malware. In our CTO @GangTao3's blog, we show how to secure OpenClaw w/ Timeplus: timeplus.com/post/securing-…

📣 Introducing Timeplus PulseBot, the stream‑native AI agent framework built by our CTO @GangTao3. With PulseBot, our #Timeplus #streaming engine is the backbone for #o11y, memory, communication, & scheduling. Learn more in Gang's blog: timeplus.com/post/pulsebot

Timeplus Vistral is our #opensource data viz library that provides 3 temporal binding modes: axis-, frame-, & key-bound. Let's look at frame-bound today 👇 Shows latest timestamp: When new data arrives, the previous frame is replaced. 👀 Playground: timeplus-io.github.io/vistral

📣 Timeplus Vistral, our viz library powering our dashboards, is now #opensource! With Vistral, we introduce temporal binding, a new grammar primitive defining how streaming data maps to the visual frame. See @GangTao3's blog to learn more! timeplus.com/post/vistral

Time to bring #AI to #realtime data: introducing Timeplus support for the Model Context Protocol (#MCP)! AI assistants like #Claude can now directly help you build pipelines, with natural language. 👉Our CTO @GangTao3 shares details in his latest blog: timeplus.com/post/mcp-suppo…

What do you do when #SQL isn't enough? 🤔 We got you: check out our new #Python Table Functions, letting you embed Python code directly into your streaming SQL pipelines. Our CTO @GangTao3 shares more details & example code 👉 timeplus.com/post/python-ta…

🎙️ Join us for our webinar, hosted by co-founders @GangTao3 & Ken Chen. We'll show you how to build a #realtime #telemetry pipeline using Timeplus, w/ full data flow: collect ➡️ parse ➡️ enrich ➡️ transform ➡️ route ➡️ & store/stream ⏰ Jan 29, 10am PT timeplus.com/webinar-teleme…

#SIEM struggles w/ too much raw data reaching the analytics layer before a security signal is established ⚠️ Timeplus fills the missing layer to show what security signal the data represents in #realtime. Our CEO Ting Wang breaks it down in this blog: timeplus.com/post/siem-real…

From our Timeplus team to yours, happy holidays! ☃️ 2025 was a wonderful year of building & scaling our product in the real world. We’re deeply grateful to our customers, partners, & community for the trust, feedback, & momentum that shaped our year🫶 timeplus.com/post/2025-recap

Our team is proud to release Timeplus Proton 3.0 🙌 The most significant performance release of our #opensource, #singlebinary data processing pipeline engine, for analytics, o11y, & security. Join our webinar to see what’s new! ⏰ Dec 10, 10am PT 🎟️ timeplus.com/webinar-proton…

🤩 Check out a real-world challenge from our customer, a leading online gaming company w/ 10M+ daily active users: building a #realtime feature pipeline for their AI/ML models 👀 See live demo: timeplus.demo.timeplus.com user: demo pass: demo123 See Data Lineage: 'game' namespace

Traditional #telemetry pipelines only passively move observability data from A to B. No wonder they are failing 😱 Meanwhile, Timeplus provides stateful #stream processing w/ built-in analytics & alerts, thru #SQL. Learn more in this blog by @GangTao3: timeplus.com/post/rethinkin…

Our eng team ran a benchmark comparing #Timeplus vs #Logstash, w/ identical conditions. 💪 8 cores CPU & 16GB RAM memory: Timeplus dramatically outperformed in both parsing (4x faster) & aggregation (10x faster). Learn more in our CTO @GangTao3's blog: timeplus.com/post/beating-l…

"What if we don't keep everything in memory? What if we only keep hot data in memory & kick cold data to disk?" 🤔 Our CTO @GangTao3 shares an example of our Hybrid Hash Join feature, which uses 3.8x LESS memory compared to a pure memory approach. timeplus.com/post/hybrid-ha…

Our #Timeplus team had a wonderful time at #Current25 in New Orleans, organized by @confluentinc! 👋 The chats at our booth reinforced what we’ve been building w/ Timeplus 3.0: faster, simpler & more accessible streaming for everyone Thanks everyone for coming by our booth 🙌

Here's why developers love Proton: (3/3) ✅ Native integrations for @apachekafka, @redpandadata, #ApachePulsar, @ClickHouseDB, @splunk, @elastic, @MongoDB, #AmazonS3, @ApacheIceberg, and more ✅ Python and JavaScript UDF/UDAF Special thanks to our contributors!

Here’s why developers love Proton: (2/3) ✅ 1st vectorized streaming SQL engine in modern C++ (Apache 2.0 license) ✅ Single binary, no dependencies - deploy in seconds ✅ 90M EPS, low ms end-to-end latency ✅ Full-fledged streaming processing (ETL, JOIN, & aggregation)

Our team is starstruck - #TimeplusProton hit 2k stars on GitHub! 🤩 We're proud to see so many developers choosing lightweight, fast streaming #SQL for their #realtime data pipelines. Grateful for our community’s continued support! Why do devs love Timeplus Proton? 🧵(1/3)

In this blog, our intern Junyue Xue explores how to build a #realtime anomaly detection system w/ #Timeplus, identifying potential issues before they affect trading strategies. 👀 Read Junyue's blog here: timeplus.com/post/detecting…