How Firebolt maps Execute, Validate, Order, Persist steps using MVCC, OCC, LSN, FoundationDB, and Kafka.
Data Mesh is hot stuff. But from a technology perspective it’s still not very well defined.
In our recent ‘Big Data Analytics for Gaming Workshop’ we let the audience do the talking, here’s a summary of the talk.
"When I see David Jayatillake and Tristan Handy comment on Firebolt's approach it is clear that Firebolt is on track."
Firebolt provides an alternative to Druid, delivering fast response times, high concurrency and the convenience of a Saa
In this post, we look at factors to consider when building a data warehouse.
How to Set Up Your Data Analytics Stack with Kafka, Hevo, and Firebolt.
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.