Firebolt

What is #Fuzzing, and why is it key to Firebolt? Fuzzing is a popular software testing technique that Firebolt uses to discover and address potential?#vulnerabilities?under real-world conditions quickly. In this blog, Product Security Researcher Abhishek Sen explains: 1. The challenges of uncovering vulnerabilities unique to complex #datawarehouses 2. How fuzzing rigorously tests Firebolt’s #dataplatform by simulating unpredictable input and attack vectors 3. How Firebolt deploys fuzzing to deliver a #secure product ?? Read: https://lnkd.in/dCkUcYpB #clouddatawarehouse #datasecurity

Firebolt is now available in Asia Pacific (Singapore) ?? We’re excited to bring Firebolt’s low-latency, high-concurrency analytics closer to your data and users in APAC. With millisecond response times and flexible infrastructure, you can now leverage Firebolt’s power for your data-intensive workloads. Learn more: https://lnkd.in/dcD6TsjY #DataEngineering #CloudDataWarehouse #Analytics

Tomorrow: Eldad Farkash on #TheRavitShow! Ravit Jain & CEO Eldad Farkash will discuss how Firebolt tackles the toughest challenges in high-performance #analytics. ??Tune in: https://lnkd.in/duJJARvp #CloudDataWarehouse #DataEngineering

Has your data warehouse become a speed bump? From millisecond #query responses to multidimensional #scalability, here are five reasons #dataengineers and organizations are switching to Firebolt. ?? Read this blog from Cole Bowden, developer advocate at Firebolt, for more information: https://lnkd.in/gc3dT4AU #clouddatawarehouse #lowlatency #highconcurrency #sqlsimplicity #highefficiency

Want to learn about query subresult reuse and how Firebolt uses it to speed queries up? Students at Carnegie Mellon University's "Intro to Database Systems" course heard about it directly from Mosha Pasumansky, CTO, Firebolt, and now you can, too. ?? Read our blog and listen in to the talk: https://lnkd.in/gdfQ_rkh #DataEngineering #SQL #QueryOptimization

Next week: Eldad Farkash on The Ravit Show?? Join Ravit Jain and CEO Eldad Farkash on Nov 19th for a discussion about Firebolt’s approach to high-performance #analytics. They'll explore: ?? Firebolt’s consistent, low-latency performance on TBs of data ?? How top companies achieve 400x faster query times with Firebolt ?? A SQL-first design built specifically for data engineers ?? https://lnkd.in/duJJARvp #CloudDataWarehouse #TheRavitShow

??? Are we teaching data engineering wrong? ??? Today’s release features best bits from the Bros' conversations with Zach Morris Wilson and Krishnan Viswanathan. It was in their chat with Joe Reis ?? and Matthew Housley however, where they explored why, despite so many innovative tools, we keep circling the same problems in data engineering. ??? Tune in for highlights from their far-reaching discussion where they unpack the gaps in current education, the need for real-world skills, and how their approach to teaching data techniques over tools is reshaping the way engineers learn. ?? https://lnkd.in/dZ6emnJX #DataEngineering #TechEducation #PracticalLearning #TechAgility

Data governance shouldn’t be a bottleneck. Our whitepaper explains how Firebolt simplifies #datawarehouse governance with #RBAC, query auditing, and granular resource management—giving you control and compliance without compromising speed. ?? Learn more: https://lnkd.in/dMPAN5Pe #DataGovernance #DataEngineering

Firebolt’s benchmark shows that scalability isn’t just about ingesting large volumes, but also maintaining sub-second DML performance as your data grows. Workload isolation ensures that fast DML is delivered with no impact on read performance. Explore how Firebolt handles fast and scalable incremental ingestion: https://lnkd.in/dUbbscmN #DataIngestion #DML #Scalability #CloudDataWarehouse

When your data warehouse scales, so do the security challenges. Our whitepaper explains how Firebolt’s multi-layered security architecture protects your data with Role-Based Access Control (#RBAC), #encryption, and network isolation while maintaining high performance for your workloads. ?? Read it here: https://lnkd.in/gKkb4iRX #DataSecurity #DataProtection #CloudDataWarehouse