Turn an unpredictable bill into per-vCPU leverage
For CFOs and founders who own the data bill: move only the workloads where e6data wins and cut their cost by up to 50%, on the tables you already govern.
What moves
Usage-based, no reserved capacity
T-shirt sizing forces you to buy the next size up and pay for the idle gap. Atomic scaling sizes compute to the query, so over-provisioning stops being a line item.
No reserved capacity required, and nothing that penalizes leaving - the exit is re-pointing an endpoint, not re-platforming.
How e6data answers the bill
Move only what wins
Take the workloads where e6data is provably cheaper, and leave everything else untouched.
Billed by the vCPU
Replace an unpredictable per-cluster bill with compute metered to the query.
No reserved capacity
Pay for what runs. Nothing penalizes you for scaling down, or for leaving.
The outcomes for finance
On the workloads you move, measured against the incumbent.
Compute sizes to the query, so over-provisioning stops being a line item.
No commitments, no lock-in. The exit is re-pointing an endpoint.
See your numbers
Book a demo and we will scope it against the workloads that dominate your bill.
Book a demo