The architecture question behind agentic AI Forrester just published a piece on why Context Lake matters for agentic AI. If you’re building multi-agent systems and assuming analytics-era data stacks will hold up, this is worth a careful read. forrester.com/blogs/why-cont…

Last week on the AWS re:Think podcast, our CEO Xiaowei Jiang detailed the architectural principles behind Tacnode Context Lake™ that enable it to deliver instant, scalable context for AI agents, vector search, and real-time analytics. Listen here: art19.com/shows/aws-re-think…

Heading to AWS re:Invent 2025? Us too! Tacnode will be live at Booth 1728 with real-time, PostgreSQL-compatible performance for AI and analytics. See how to run transactional, analytical, and vector workloads on one platform with instant scale.

When data is delayed, business opportunities go extinct. Boyd Stowe explains how #livecontext helps you code like a mammal. tacnode.io/post/code-like-a-…

🎉 Join us for a relaxed evening at the Tacnode Happy Hour during @PASSDataSummit 📅 November 20, 2025 | 4:30 PM-6:30 PM 📍 Alder & Ash, 629 Pike St, Seattle Connect with data architects, engineers & innovators over drinks & bites: RSVP here: luma.com/e3py7nc9

👋 to our new followers from #Current25! Curious about #ContextLake? Start here for a deep dive from our Amazon Web Services (AWS) Partner Spotlight: aws.amazon.com/blogs/apn/pow… #AWSPartner #ContextEngineering #AIInfrastructure #Kafka #StreamingData

Expo's open. Come thru! Confluent hashtag#Current25 is officially underway here in hashtag#TacNOLA. Swing by the Startup Hub to meet CEO Xiaowei Jiang and the Tacnode team, snag some swag, and learn how hashtag#ContextLake makes real-time data instantly available at any scale.

✨ It's Feature Friday! ✨ This week: Incremental Materialized Views, the secret sauce behind how Tacnode keeps queries fresh without full rebuilds. Instead of batch jobs, we update only what’s changed, providing always-fresh data, blazing performance, and lightweight ops.

Ever tried scaling #Flink jobs and felt like you were managing a second distributed database? You’re not alone. Apache Flink *is* powerful ... but also complex, brittle, and expensive to operate. Tacnode was built to give you the freshness of streams, without the frustration.

Most so-called “real-time” #data platforms are really just batch jobs with lipstick. 👉 Latency still piles up 👉 Complexity still explodes at scale 👉 #AI/ML agents still can’t act on true now At Tacnode, we’re proving that “real-time” isn’t real enough. You need instant. ]

⭐ New from the Tacnode blog: Our “#ContextLake in Practice” series is here — and it kicks off with a vital topic: Preventing Customer Churn with Predictive AI. With the right tools, #ContextEngineering can help avoid customer loss before it happens. tacnode.io/post/context-lake…

You do data engineering in Data Lakes.
Where do you do Context Engineering? In the Context Lake.
👉 tacnode.io/context-lake #ContextLake

I spy with my little eye...👀 Proud to share the stage at @awscloud Summit NYC alongside category-defining #agenticAI innovators like @asana @Articul8_AI @CyberArk and more. More here: tacnode.io/post/tacnode-cont…

Is your data platform truly real-time—or just real-ish? Join us on June 12 at 1 PM ET for a webinar that pulls back the curtain on what "real-time" really means in 2025—and why most modern stacks still fall short when it matters. Register here: app.getcontrast.io/register/…