For the Head of Data Engineering
Pipelines break at 2am and your on-call queue is rebuild requests.
Pipelines that resolve their own failures, agentic schema-drift remediation, and an open-format storage layer mean your team writes new value, not glue. APIs first, notebooks second, infrastructure-as-code by default.
60%
fewer pipeline pages
<100ms
agent API target
100%
infrastructure-as-code
0
vendor-format gravity
Outcomes
What stops being your problem.
60% fewer pipeline incidents after the first 90 days
Pipelines fix their own schema drift without paging on-call
Per-query routing across the right engine for the workload
Open-format storage on customer-owned object storage
Sub-100ms agent-native APIs, MCP-protocol native, infrastructure-as-code by default
A week in your role on Eisberg
The agenda the platform writes for you.
- 01Schema drift incidents auto-remediate; you review the patch, you don't write it
- 02Cost optimizer surfaces routing improvements with measured-savings backing
- 03Every workspace is a Terraform module with policy and agents declared as code
- 04On-call rotation gets quieter every quarter as the platform learns
From the design-partner pipeline
What buyers like you are saying.
GPU-native compute on Iceberg is what every CDW vendor will eventually claim. Eisberg has it now. The conversation starts there.
Head of Platform Engineering
Series-D Fintech
Bring Eisberg to your head of data engineering agenda.
A 30-minute demo against a sample of your real workload. No SDR funnel. Real engineer in the room.