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Introduction to e6 Query Engine

Welcome to e6data's Query Engine documentation. Continue on, to go from zero to your first running query, regardless of which cloud you are on.

What is e6 Query Engine?

e6 Query Engine is a lakehouse compute engine for data teams who need fast, cost-efficient analytics directly on their data lake. It runs SQL and AI workloads against your existing storage - S3, ADLS Gen2, or Iceberg-managed data - without copying data into a separate warehouse.

It is designed for the three things that make modern analytics hard:

  • High concurrency - many users running many queries at the same time.

  • Complex SQL - joins, window functions, and aggregations over large fact tables.

  • Cost discipline - paying for what you actually use, not for idle infrastructure.

How customers use e6 Query Engine

  • BI dashboards at the scale of thousands of concurrent users, with sub-second query times.

  • Operational analytics for product, ops, and revenue teams that need fresh answers, not warehouse refresh cycles.

  • Ad-hoc exploration on data lakes too large to load into a traditional warehouse.

  • AI/ML feature pipelines running close to the data.

Getting Started

Everything you need to start querying with e6data - from understanding the platform to running your first query.

Architecture - Understand e6data's query engine architecture, key constructs, and supported deployment models.

Identity and access setup - Sign up, log in, set up your organization, and invite your team.

Deployment models - Two ways to run e6 Query Engine, both keeping your data in your cloud:

  • Serverless - e6 Query Engine manages the compute infrastructure. Fastest to get started.

  • In Your VPC - compute runs inside your own Kubernetes cluster. Useful when network isolation is a hard requirement.

Quickstart - your first end-to-end query, or jump straight to Deployment for your cloud.

Where to ask questions

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