What do #realtime analytics and re:Invent have in common? They both run better with the right connections. 🤝 We’re heading to #reinvent to connect builders and data leaders with AI-era performance. Want to connect while we’re there? 📅 Book some time with the team to discuss

Real-Time Vector Search at Scale: 100× Faster. ⚡ Every company talks about vector search - few have taken it to production at scale. Similarweb did. By building on Firebolt, they delivered #realtime semantic search across hundreds of millions of rows - achieving 100× faster

We’re heading to #SaaStr AI London 🎡 Whether you're building #realtime apps, scaling agentic #AI systems, or just sick of slow dashboards… come by 𝗕𝗼𝗼𝘁𝗵 𝗚𝟭𝟬𝟰 to see how we’re helping teams ship faster and query bigger.

Firebolt 🤝 Mitzu We’re excited to announce that Mitzu now integrates directly with Firebolt! You can now run Mitzu #productanalytics directly on your Firebolt database. This #integration unlocks instant journey mapping by backing Mitzu’s deep exploration capabilities with

Heading to #reinvent? So are we - and we're bringing the team that makes data move faster: 🧠 Darlene Volas - engineering fast, flexible pipelines for #realtime apps. 🤝 Bryan Emig - bringing Firebolt’s efficiency to data and #AI teams. 🌐 Abhishek Reddy - connecting the

Tomorrow: #MerchJar joins us to show how they deliver sub-second #analytics on live transactional data - powered by Firebolt. We’ll cover: 🔹 How vectorized execution and aggressive pruning power #realtime queries 🔹 Why first-class upserts make mutable data painless 🔹 What it

Running compute-optimized workloads on Firebolt? You’ll see a performance boost.⚡ Our compute-optimized clusters now run on AWS #Graviton (c7gd) - swapping x86 for ARM to squeeze out more performance per core. You get: 🔹 Faster CPU performance, DDR5 memory (50% higher

Analytical speed or operational flexibility - modern data teams know the trade-off. ⚖️ Join us on Nov. 19 to see how #MerchJar, an ad optimization platform, delivers sub-second #analytics on live transactional data using Firebolt. We’ll break down how Firebolt’s first-class

#reInvent is almost here, and the Firebolt team is heading to Vegas.  If you’re building #dataapps that demand speed, let’s connect. Darlene Volas, Bryan Emig, and Abhishek Reddy will be meeting with data and engineering leaders to talk about: ⚡ Real-time analytics for

Happening tomorrow 🗓️ Learn how to make your #AI assistant actually analyze data - not just talk about it. We’ll show how to connect it directly to Firebolt using the Model Context Protocol (#MCP) and query data in milliseconds. 👉 Save your spot at the #workshop:

CRN thinks we’re stellar - and we’ll take it. 😎 Honored to be recognized for building the analytical #database powering real-time applications - where #lowlatency queries, complex joins, and heavy batch #ELT all run efficiently in one place. 🔗 Check out the list of

Are you treating your ingestion and transformation layers like traditional data engineering work? That’s a mistake that costs you time and money. 💸 Ashok Singamaneni, Principal Data Engineer at @Nike says it best: 👉 “Treat that as a software product, not like a data

Most AI assistants can talk about data - but can’t analyze it. Join our hands-on virtual #workshop to learn how to connect an #AI assistant directly to Firebolt’s analytical engine using the Model Context Protocol (#MCP) - the open standard for linking #LLMs to live data. Run

Coming to #Databricks Amsterdam? So are we - and we’re bringing the fastest way to query Apache #Iceberg. 🧊⚡ Stop by b𝗼𝗼𝘁𝗵 #𝟭𝟮𝟮𝟱 to see how Firebolt delivers low-latency, high-concurrency #analytics on open table formats through: 🔹Caching of data and metadata

Heading to #RaySummit? Catch Benjamin Wagner's talk:  💡SQL or Python? Wrong Question for the AI Era 🗓️Nov 4, 12:15 PM | Lightning Theater  As #GenAI reshapes data systems, the lines between data and model infrastructure are blurring. Benjamin will explore how Pythonic

🕷️Haunted by latency? If slow queries are haunting your dashboards, Firebolt might be your magic potion ⚡🪄 Comment  “𝗛𝗮𝘂𝗻𝘁𝗲𝗱 𝗾𝘂𝗲𝗿𝘆” below and see what you get! 🍬 If it’s a treat — you’ll win a prize from https://t.co/8BKPyImCHM   👻 If it’s a trick — well, let’s

Building #realtime dashboards in Tableau Cloud? 📊 You don’t need extracts or pipelines - just connect #Tableau directly to Firebolt. Run live #queries with sub-second latency, without the complexity of managing ETL or refresh cycles. Kushagr Nagpal walks through how to set it

Heading to New Orleans for #Current by Confluent? Come see us! We'll demo #streaming data directly from Confluent into Firebolt and power #realtime applications, dashboards and #AI pipelines - all with sub-second query performance at scale. 📍 Find us at Booth #203 📅 October

🛠️ Building MCP-powered Applications: Join our workshop with #AWS, tomorrow in NYC This hands-on #workshop will show how modern analytical databases like Firebolt unlock a new class of high-performance, #realtime analytics experiences. Connor Carreras & Antony Prasad Thevaraj