Firebolt

Firebolt isn’t magic. It’s fundamentals + design. We all know Firebolt delivers sub-second latency for complex analytical queries. But what's behind that speed? One of the secret weapons in our arsenal: Filter and Scan Integration. ⚡ 💡 What is Filter and Scan Integration? It’s a query optimization feature that pushes filters directly into table scans. Instead of loading all columns and then filtering, Firebolt flips the script - filter first, load later. That means skipping expensive values (like long strings or arrays) that would’ve been discarded anyway — saving I/O and time. 🔥 But we didn’t stop there We enhanced the filter push-down to accept filters on the first primary index column, perfect when your first primary index column has high cardinality and wide columns in play. In our upcoming release, we're taking it further: pushing down all predicates into the scan unconditionally - even join pruning predicates. In real customer benchmarks, we’ve already seen up to 𝟯𝘅 𝗳𝗮𝘀𝘁𝗲𝗿 𝗾𝘂𝗲𝗿𝗶𝗲𝘀. That’s Firebolt beating Firebolt. 😉 Combine Filter and Scan Integration with aggregating indexes, and you’ll see the results for yourself. 👉 Come test it out with $200 free credits: https://okt.to/eWc3ZX #analytics #dataengineering #database

Firebolt × Confluent: Real-time streaming meets real time analytics With the new Firebolt Connector for Confluent, teams can stream data directly from Confluent into Firebolt and power real-time applications, dashboards and AI pipelines - all with sub-second query performance at scale. This integration makes it easier than ever to build modern Data & AI experiences without complex data engineering work. 👉 Learn more in our blog: https://lnkd.in/g7TrHbyx

What a great turnout to our Agentic AI Meets Data meetup powered by Firebolt with DevRelSquad®️in Bangalore. Developers got to see complex aggregations on production-scale data happen in real-time. No pre-aggregation, no materialized views, just raw speed. Where traditional databases make you wait or precompute, Firebolt’s architecture delivers sub-second analytics on massive datasets, making what used to feel impossible feel normal. Thanks to everyone who took part!

You’ve set up your database and engine… now what? The next step is getting your data in. 📥 In this Firebolt Workshop, Connor Carreras breaks down the different ways to load data into Firebolt: 🔹 Batch ingestion 🔹 Trickle ingestion 🔹 External tables 👉 Watch: https://lnkd.in/gUDdnqvr

What an incredible week at Big Data London! 🚀 We had a great time connecting with engineering and data leaders and showcasing how Firebolt powers the next generation of real time applications. We're still buzzing from the energy and conversations from the event! A huge thank you to everyone who stopped by our booth, joined our sessions, or just came over to chat — your enthusiasm fuels our mission to make data faster, more efficient and more impactful. Until next time, Big Data London! 💙 🔥 Connor Carreras John Kennedy Ryan Hartman Dave Johnson Lance P. Stephen Berg Shazain Iqbal

From 8.8 seconds… to 40 milliseconds ⏱️ Benjamin Wagner demos how Firebolt queries 1TB of data on Iceberg — pruning it down to just 20GB, then reusing sub-results for an instant response. This is how real-time analytics on open table formats should look. 🎥 Watch the full webinar: https://lnkd.in/gmbkWDqY

8 apps. Billions of rows. Millisecond query speed.⚡ We put together an eBook showing how data-app builders run high-performance analytics on Firebolt. Inside you’ll find: 🔹 Real-world use cases with massive datasets 🔹 How teams engineer low-latency queries at scale 🔹 Examples of lowering costs with efficient scaling 📥 Download the eBook: https://lnkd.in/gw6EVwsA

There's a big upfront cost that most overlook in self-service BI implementation. In this episode of the Data Engineering Show, Lei Tang, CTO and Co-founder of Fab AI breaks down the challenges: • Heavy initial setup requirements • Complex data semantic definitions • Centralization hurdles • Documentation gaps Tune in to learn how AI is changing this landscape: https://lnkd.in/gnqiJgg3 🎧Spotify: https://bit.ly/4n2s03T

Stress free real time analytics 🚀 Your muscles and your queries will thank you! Arsh Goyal

London, we’re coming for your data 🎡 Meet the team next week at Big Data London 🎤 Join Connor Carreras on stage with: '100s of users? 100s of TB? Millisecond response times? No problem!' 📍 Stop by booth #K20 to have a chat and see live demos how to tackle your real time analytics challenges!