LLMs don’t fail because they’re not smart. They fail because they don’t know your schema. In this session, we'll show you how Firebolt’s MCP server connects your database #schema to Claude - so your #AI can generate context-aware queries that work. Register: www.firebolt.io/events/demo-...

🚀 We’re excited to announce we’ve opened a new hub in Singapore - and welcomed Deepak Ajmani as Head of Asia & ANZ. 👉 Read the announcement: en.prnasia.com/releases/apa... #dataengineering #AI #APAC

New in Firebolt: Automatic Cache Warmup 🌡️ Starting up or scaling out usually means cold caches and slower #queries until they fill. With AUTO_WARMUP, Firebolt engines restore their #cache state on startup, so performance ramps up much faster. ✍️Learn how: www.firebolt.io/blog/automat...

Beers + bots = the best kind of meetup 🍻🤖 At AICamp London, Demian Hespe talked about how to build data systems for interactive agents - and how Firebolt powers them with low-latency queries. ▶️ Watch Demian’s session here: www.youtube.com/watch?v=DtaO... #dataengineering #AI #datainfra

▶️ Missed the live #webinar? Now on-demand: 10ms Queries on Iceberg Benjamin Wagner breaks down how to run low-latency, high-concurrency #analytics directly on open table formats like #Iceberg. 🎥 Watch it here: www.firebolt.io/knowledge-ce...

This time on the Data Engineering Show: Paarth Chothani from Uber shares how they're innovating on-call support with AI 🤖 Tune in: www.firebolt.io/blog/buildin... Spotify: bit.ly/4nZd6wE #AI #dataengineering #podcast

Why pay just to run metadata queries? Our system engine is always-on & always-free: ✅Run show tables, describe, and other metadata #queries ✅Access system views and #databases, tables, views, locations ✅Skip the delay and cost of starting a primary engine More: docs.firebolt.io/guides/opera...

💻 We just shipped a version of our Web UI which works directly with Firebolt Core - our free forever, self-hosted, distributed query engine. Just like Firebolt Core itself, the Web UI can be run as a #Docker container. Details here: github.com/firebolt-db/... #dataengineer #analytics #database

We're happy to announce the #opensource release of Firebolt Auror - our #Kubernetes Admission Controller. Read more: bit.ly/4oki2fR Get the source code: github.com/firebolt-db/... #dataengineering #analytics

Firebolt automatically removes redundant JOINs from queries (even when other query engines struggle) It's common for apps generating SQL to produce complex #SQL queries with lots of JOINs. Firebolt can see through them and eliminate redundant ones, even in complex cases. Learn more: bit.ly/45sZJxr

Can you really get 10ms queries on Apache #Iceberg? Yes - and we’ll show you how. Join Benjamin Wagner as he explains how you can build low-latency, high-concurrency #analytics directly on open table formats like Iceberg. 📅 Aug 6, 11 AM PT 🔗 Save your seat: bit.ly/4mjSAFd

Tired of fake free? So are we. Get our production-grade, distributed query engine - without the games. Free forever here: bit.ly/4kqR1nJ #dataengineering #datainfra #selfmanaged

Performance benchmarks don’t lie. We ran 25 real-world queries across Firebolt, Snowflake, Redshift, and BigQuery. Firebolt’s smallest engine outperformed every config tested - even Snowflake XL. ▶️Watch: bit.ly/4532RyN 📝Read: bit.ly/3IE5VtP #dataengineering #benchmarks #cloudatawarehouse

🚀 From 2 million to 100 million users in just a few years How did Notion scale their data stack to handle this explosive growth? Sumit Gupta, Lead BI Engineer at Notion, breaks it down. Tune in: bit.ly/4527Xv0 Spotify: bit.ly/45is6z0 #datascaling #moderndatastack #analytics

New to Firebolt? Start here 🚩 Introducing Firebolt Workshops - a new hands-on video series to help you learn Firebolt fast. Get started with “What is Firebolt," a quick intro to Firebolt’s #architecture and how it supports low-latency #analytics at scale. 🎥 bit.ly/4o1nHHj

#Postgres, #S3, #Iceberg... and stream processing? In this episode of The Data Engineering Show, Yingjun Wu, founder and CEO of RisingWave unpacks the architecture behind their SQL-native streaming system. Tune in: bit.ly/46MRe1k Spotify: bit.ly/44rnshC

This one’s for the “just let me build” crowd. We’ve been expanding our client #ecosystem to make life easier for #developers who want to get things done—without glue code. The focus is on clear #SDKs, solid #connectors, and #integrations that behave the way you’d expect. ✍️Read: bit.ly/3UcgF4V

*This isn’t a product demo* It’s your cheat code for what’s coming next, and what to do about it now. Tomorrow, join our talk with #AWS about how #AI is reshaping data infrastructure, and what engineering leaders are doing to stay fast, scalable, and cost-aware. 🗓️ Save your seat → bit.ly/3UaaSwJ

Fast just got free. Here are 5 things you can do with Firebolt Core. 1. Run millisecond queries at scale 2. Power dashboards/data apps at high concurrency 3. Query Iceberg tables from object storage 4. Build and test analytics workflows locally 5. Scale out across multiple nodes bit.ly/4kqR1nJ

Upgrades shouldn’t mean downtime. We handle upgrades by spinning up a shadow cluster with the new version, mirroring real read traffic, and warming caches in parallel. Full breakdown: bit.ly/4lbubBH #dataengineering #reliability

*This time on The Data Engineering Show* DuckDB Labs CEO Hannes Mühleisen explores what happens when you don’t optimize for distributed compute—and instead focus on elegance, simplicity, and local analytical power. Tune in: bit.ly/4l9EDKb Spotify: spoti.fi/41C0wJx

🔥 Curious how Firebolt stacks up in real-world workloads? We’re breaking down the results from our new FireScale benchmark, where we proved 8x better price-performance over Snowflake, 18x over Redshift, 90x over BigQuery Watch the upcoming Ravit Show 👉 www.linkedin.com/events/73139...

Firebolt just launched FireScale - our real benchmark that demonstrates performance on real queries and eavhily concurrent workloads. We showed that Firebolt runs better than the competition... but how'd we do it? Cole Bowden wrote a blog exploring exactly that: www.firebolt.io/blog/firesca...

Watch Dev Advocate Cole Bowden explain how compute families work in Firebolt, and which compute family may be right for you: youtu.be/uu1cE83mhTA

AI applications demand more than traditional data platforms. Learn how Firebolt is powering next-gen workloads at #FireboltForward 🔗 Register Now: www.brighttalk.com/webcast/2075...

In our geospatial blog series part-II, we cover: 📌 Input validation & normalization 📌 S2-based indexing for fast lookups 📌 Geospatial data pruning for efficient scans Read the blog here: www.firebolt.io/blog/archite... #GeospatialData #DataEngineering #Firebolt #CloudDataWarehouse

Firebolt Forward is coming! Learn how Firebolt is powering AI applications with low-latency, high-concurrency infrastructure. 🔗Register Now at- brighttalk.com/webcast/2075... #FireboltForward #ai #data #datawarehouse #datainfra #cdw #ArtificialInteligence

🔒 Streamline Access with Firebolt’s RBAC 🔒 Simplify data security with Role-Based Access Control (#RBAC)—grant the right #permissions, manage #access at scale, and stay in control. 🔗 Learn more: bit.ly/3Dk2Lc2 #datasecurity #accesscontrol

Firebolt is expanding into #APAC 🌏🚀 We're bringing our high-performance, low-latency data warehouse to one of the most exciting and fast-growing markets. Sandeep Mathur will lead regional GTM and build global teams based in #India. 👉 Read more: bit.ly/4kbdO8e

🏗️ AI is transforming data movement, not just analysis. Daniel Pálma from Estuary joins us to discuss AI-driven optimization, vector databases, and the future of #ApacheIceberg & #datalakehouses. Tune in: bit.ly/4k8BHNt Spotify: spoti.fi/42Ss5jQ

What does it take to build high-performance #geospatial #analytics?🌍⚙️ This blog covers: 🔹 GEOMETRY vs. GEOGRAPHY – key accuracy trade-offs 🔹 S2 Geometry for efficient spatial #indexing 🔹 Challenges of integrating geospatial data at scale 📖https://bit.ly/4bcTRd1

Location data just got Firebolt Fast 🌍⚡ Firebolt’s #GeospatialAnalytics brings #lowlatency spatial queries at scale. 🔹 Process massive datasets 🔹 Use #GEOGRAPHY for precise spherical calculations 🔹 Optimize queries with S2 #indexing (coming soon) 📖 bit.ly/4k5pGZw #dataengineering

We were honored to host Magdalena Balazinska for our #SHEQL women’s group event! She shared her journey from Poland to MIT to leading UW’s CS school, plus insights on #WomenInEngineering & #DataSystems. Thank you, Magdalena!🔥 cs.washington.edu/people/faculty/magdalena-balazinska

Got #dataengineering questions? We’ve got answers. Introducing The SQL Clinic 🩺 Join Firebolt’s open #officehours this Wednesday, where Connor Carreras & Guy Duer will tackle your toughest questions. Drop in and leave with answers you can use. 📅 www.linkedin.com/events/7294744937873489920

🚀 Exciting news! Firebolt welcomes Hemanth Vedagarbha as our first-ever President. Hemanth will drive our global GTM expansion as we push the limits of #AIapplications and high-performance #analytics. Welcome, Hemanth! 📰 www.businesswire.com/news/home/20250206759260/en

Tomorrow! Join Cole Bowden & Demian Hespe for a LinkedIn Live on Scaling Geospatial Analytics with Firebolt 🌐 See how we built it, tackled snap rounding, and optimized for speed—plus a live demo! 🔗 linkedin.com/events/howfireboltwentgeospatial7291157020823445505/theater

Simplify data loading with Firebolt's #Ingestion Wizard ✨ This tutorial walks through how to use the wizard to ingest data from various sources into your Firebolt tables. ▶️ Watch: youtube.com/watch?v=zNLJbhimbAU #dataingestion #dataengineering #clouddata

🔗 Stop wasting time and resources copying massive datasets. With Firebolt’s Zero-Copy Clone, you can: ⚙️ Clone tables in seconds at the #metadata level. ⚙️ Avoid storage duplication entirely. ⚙️ Keep clones independent for testing, staging, or historical snapshots. 👉 bit.ly/3E7wvJt #dataengineering

🚨 Still running clunky, outdated #ETL pipelines? Start building fast and efficient #pipelines with Firebolt and @dbt. Tune in to learn how to set up #databases, transform data from external sources, and optimize performance with incremental loading. 🎧https://buff.ly/4hkpJyc #datatransformation

Ever wonder how to utilize all those #CPU cores? Firebolt's Director of Engineering, Benjamin Wagner, explains: ♦️ Multithreading in action ♦️ Optimized #compute for fast #queries ♦️ Real-world #scaling demo ▶️ Watch: youtu.be/vRhsF4Ta_qk

🚀Kickstart 2025 with $200 Free Credits on Firebolt! Sign up with a personal or professional email—no credit card needed— and unlock: 💰 Cost efficiency ⚡ High #concurrency for data-intensive workloads 📈 Multidimensional #scalability 🛠️ #SQL simplicity Start building: bit.ly/4jkiM1S #dataengineering

🎙️ On the Data Engineering Show, Chad Sanderson discusses innovative ways to manage #datachange. He covers data quality challenges, bridging producer-consumer gaps, using #AI for #datamanagement, and more. Tune in: bit.ly/42cfmbq Spotify: spoti.fi/4225DEq

🛒 Vrio delivers 28X faster ecommerce #analytics By switching from #MySQL to Firebolt, Vrio handle 50K #queries daily in milliseconds instead of minutes—while reducing costs through Firebolt’s efficient architecture. Ryan McWilliams, CTO at Vrio shares how they did it: bit.ly/40xOdi5

Serving the Internet at Millisecond Speed 🚀 VP R&D Yoav Shmaria breaks down how they do it at Similarweb: 🔹Value stores vs. SQL engines 🔹Firebolt for fast, complex queries 🔹Optimizing speed & efficiency Watch: bit.ly/4h19VQP #dataengineering #scalability

From Minutes to Milliseconds ⚡ Ryan McWilliams, CTO of Vrio, demos #ecommerce #analytics powered by Firebolt: ✅ Data refresh every 30 min vs. 3X/day (MySQL) ✅ 50K daily #queries with millisecond latency ✅ Lower costs with efficient #architecture Watch: bit.ly/40knwx7

#2024recap 🎉 Here's a look back: 🚀 Firebolt launched with unmatched #analytics efficiency 🏆 #benchmarks showing millisecond #querylatency at scale 🌎 New #AWS regions 📊 Exponential performance gains and cost savings for Firebolt users #happynewyear

Stay operational during engine upgrades with Firebolt’s online upgrade feature.💻 This video walks through upgrading your engine without downtime, ensuring that queries continue running without interruption. Watch it here: youtube.com/watch?v=6oxXnOPw7Bk #clouddatawarehouse #SQL #dataengineering

As you stack up memories and enjoy time with loved ones, we at Firebolt want to thank you for your partnership and support this year. Here’s to a prosperous new year full of growth, speed, and new possibilities! #happyholidays #seasonsgreetings

Managing #metadata just got easier for #dataengineers 🚀 ✨ Zero-Copy Cloning: Duplicate tables with no data redundancy ✨ Dynamic Schema Evolution: ADD COLUMN & RENAME TABLE with no downtime ✨ Streamlined workflows for modern data engineering Blog➡️ https://buff.ly/4fvlPkO

You may only need one reason to try Firebolt on your toughest #analytics—but we’ll give you five. From millisecond #query response times to resource efficiency, Cole Bowden shares why #dataengineers are moving to Firebolt. 👉 Tune in or read the blog: https://buff.ly/4iQN9Nd