For those who watch
How Bigabid analyzes 30B AdTech records in milliseconds
Bigabid generates billions of records daily, which they use to help developers increase their app usage and optimize ad spend. BI Team Lead Yaron Cohen explains how they accelerated queries 400X while cutting costs by moving to Firebolt.
Why IQVIA relies on Firebolt for Life Science analytics
Jeremy Stroud, Director IT Architecture at IQVIA explains why they chose Firebolt as a key part of their tech stack. "Whether we have 100, 200, or 250 users accessing a BI tool, we need consistent sub-second query performance."
How AppsFlyer delivers sub-second self-service BI to 1000 users
1000 Looker users. That was the number that got AppsFlyer engineers saying “damn that’s a lot -- we need to rethink our data infrastructure.” Learn how AppsFlyer used Firebolt to scale its self-service BI to support 1000 users running analytics at any scale in seconds.
How Ezora drives profit growth for Food & Beverage customers by streamlining operations data
Alan O'Neill, Founder and CEO at Ezora explains how Ezora drives streamlines operations data Food & Beverage customers. "From speed of ingestion to speed of performance, Firebolt has blown expectations out of the water. We can provide better tools that answer far more of our customers' questions."
How Vrio customers get real-time data as fast as they possibly can
Ryan McWilliams, CTO at Vrio talks about the transition to Firebolt which enabled a huge increase in performance without changing the queries and while saving costs.
How Similarweb delivers interactive analytics to thousands of customers in production
It’s one thing to maintain a large-scale analytics platform that collects data about millions of websites. But it’s a whole other ball game when your platform supports thousands of customers worldwide while maintaining sub-second performance. Learn how Similarweb does it with Firebolt.
How Primer Accelerates Query Performance with SQL Only
Aaron Rank, Head of Data & Analytics at Primer explains how Primer moved to Firebolt to get speed while just using SQL. "As a customer-facing product, we can’t have a 3-4 second delay when trying to move from a 6-month to a 12-month view. I need that instantly. And that’s what we can get with Firebolt."
For those who read
Bigabid Slashes Latency and Boosts Query Performance 400x Using AWS and Firebolt
Bigabid has improved its search performance 400 times. It now only takes a few seconds to deliver analytics results that would previously have taken days or weeks to calculate.
Ezora delivers Customer value with Firebolt
Ezora’s cloud-native customer-facing analytics solution is built with Firebolt’s sub-second data warehouse at the heart of it. 10X the speed with 40% faster time-to-market.
How Dealer Trade Network delivered 60 X faster analytics
Leveraging Firebolt has opened new revenue streams for the Dealer Trade Network with the ability to provide dealer-specific reports on a daily basis.
How Explorium serves enriched data in production 3-50x faster with Firebolt
3-50x faster across queries, more predictable and production-quiet
How Audiohook uses Firebolt to prepare reports in no time
Firebolt’s indexing capabilities drew Audiohook as they looked to improve the performance on their ELT. They needed to design the data model to more effectively prune the unnecessary records at ELT job time to significantly cut down on run
AppsFlyer company wide operational analytics
When the company needed a new report that required the detailed results from a join of two multi-billion row tables, Appsflyer decided it was time to replace Athena.
How Similarweb uses Firebolt to deliver sub-second analytics over more than 1 trillion rows
Firebolt showed the best performance but also didn’t require any additional pre-processing. Raw data was loaded and was ready for dynamic querying at sub-second performance
OmniPanel Delivers Sub-second E-commerce Insights for Customers
Firebolt stood out as the leader in both current performance and projected growth. Firebolt’s performance was 15x faster than the current Postgres database, with an average query time of less than 500 milliseconds.