e6data received four production data team comments from last month about SQL warehouse issues, customer-facing dashboards, and a Genie question on 3,000 rows.

Agents don't query like people do. They fan out across sources, retry on failure, and run at concurrency no dashboard ever asked for. Traditional warehouses meter all of it in coarse step jumps - so a 20% increase in load can double your bill. e6data is a data engine built for that reality. Our atomic architecture scales one vCPU at a time, with no central coordinator and no step-jump warehouse sizing. Cost tracks load instead of outrunning it. In production: 50% lower compute cost, 1,000+ QPS at p95 under 2 seconds, 99.9% reliability. It runs directly on the open tables you already own: Iceberg, Delta, Hudi, with any catalog, inside your own cloud, VPC, on-prem, or air-gapped environment. Zero data movement. Zero query rewrites. No migration. THE PRODUCTS • Query: High-concurrency SQL and AI analytics on your open tables, scaling in 1-vCPU increments. • Ingest & Index: Streaming ingest to open Iceberg tables, queryable in ~15 seconds. • AgentFlow: Domain-extensible agent builder for analytics and operational automation. WHY TEAMS ADOPT E6DATA It runs alongside Databricks, Snowflake, and Trino on the same tables, so you move only the workloads where it wins. The exit is re-pointing, not re-platforming. SOC 2 Type II · ISO 27001 · GDPR. Only metadata and metrics leave your plane, never your data. See the problems we're solving: e6data.com/problems

Founded 2020