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Discover how Firebolt delivers seamless, no-downtime upgrades using shadow clusters and real-time performance.
Are you spending more than you planned on your Data Warehouse? Analyze more. Use less compute resources.
How to enable sub-second analysis across billions of rows of customer behavior data: Part I - Setting up the load
One of the ways Firebolt is able to support data-driven applications is by leveraging aggregating indexes on the tables.
Let us guide you through the process of identifying the performance bottlenecks in your query in just 5 simple steps.
The data warehousing market has gone absolutely mad over performance. Why is this the case?
Many programming languages are imperative – tell the compiler how to operate by providing the instructions in order.
Demand from engineering teams has skyrocketed since Firebolt emerged from stealth last year
Indexes are the primary way for users to accelerate query performance in Firebolt. Learn about them here.
Everything you needed to know about cloud data warehouses but were afraid to ask...
Learn when to use Postgres, MySQL, in-memory databases, HTAP, or data warehouses to meet the 1 sec SLA in analytics.
Lear the top 10 tips of how to improve your cloud data warehouse performance.
More and more, people are asking me “how do you compare Snowflake and Databricks?” We did our best to answer.