When we reach for it
Analytics on AWS where data residency, existing pipelines or networking make staying inside the account the deciding factor.
Redshift engineering
AWS’s data warehouse, at its best inside an estate whose data already lives in AWS and needs to stay there.
When we would argue against it
It carries more operational tuning than its newer competitors. If the estate is not already committed to AWS, that is worth weighing rather than defaulting past.
What it looks like in delivery
Distribution and sort keys chosen from the queries that matter, and loads batched rather than trickled — the two decisions that account for most of the difference between a fast warehouse and a slow one.
Where this appears on the site
Nothing on this site names it yet
We work in Redshift, and no case study or service page currently published on this site prints it in its stack. Rather than describe an engagement you cannot check, this space stays empty until one does. Ask us and we will talk you through it directly.
Also in data and storage
Working in Redshift?
Tell us what it is running, what it costs you today, and what you need it to do next. A senior engineer will tell you what we would keep and what we would change.