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e6 Query Engine

e6 Query Engine runs SQL and AI workloads directly against existing lakehouse storage, without copying data into a separate warehouse.

Place
#15 of 28
Score
6.0
e6 Query Engine's website

What e6 Query Engine is

e6 Query Engine runs SQL and AI workloads directly against existing lakehouse storage, without copying data into a separate warehouse. It supports joins, window functions, and aggregations over large fact tables, plus vector search with cosine similarity on the same tables. The product page claims up to 10x faster queries at p95 and 1,000+ QPS at p95 under 2 seconds. Compute scales in 1-vCPU increments, with bounded autoscaling and per-cluster thresholds that can log, alert on, or cancel queries. Listed storage includes S3, ADLS Gen2, and GCS, with Iceberg, Delta, and Hudi formats. Connections include JDBC, ODBC, Python, and BI tools. It can run serverless or in a customer's Kubernetes cluster in a VPC, with on-premises, hybrid, air-gapped, and sovereign environments also listed. Pay-as-you-go compute is billed at $0.175 per vCPU-hour; bring-your-own-cloud pricing is by contact. There is no free plan.

Good

  • Works directly against existing lakehouse storage
  • SQL and vector search use the same tables
  • Compute scales in 1-vCPU increments
  • Supports multiple storage services and table formats
  • Offers serverless and customer-cluster deployment

Watch out

  • No free plan
  • Pay-as-you-go compute is billed at $0.175 per vCPU-hour
  • Bring-your-own-cloud pricing is by contact

Who it suits

e6 Query Engine suits teams running SQL and AI workloads over lakehouse data who want query guardrails and flexible deployment options. Its listed interfaces and adjacent-platform compatibility may also suit organizations integrating it into existing data environments.

Verdict

e6 Query Engine brings SQL and vector search to existing lakehouse storage, with configurable scaling and query controls. Review its metered compute pricing and deployment choices against your environment before adopting it.

Plans and prices

From e6 Query Engine's own pricing page, checked 30 Sep 2026.

All about pricing
PlanPriceWhat it gives you
Pay for ComputePriced on requestPay-as-you-go · no minimum commitment · consumption metered in increments as small as 1 vCPU-hr · $0.175 / vCPU-hour
Outcome-Based PricingPriced on request30–50% savings for 1 to 3 years · guaranteed savings · contracts listed as 6 months to 3 years · Custom · contact us

The facts

Each one read from e6 Query Engine's own pages, with the date it was checked.

What it does

Compatibility
The product page lists Databricks, Snowflake, Trino, SageMaker, and Microsoft Fabric as platforms it runs alongside.checked 30 Sep 2026
Data handling
The security page says the data plane runs in the customer's cloud account, while the control plane receives metadata and metrics rather than customer data.checked 30 Sep 2026
Deployment
It can run serverless or inside the customer's Kubernetes cluster in a VPC; the page also lists on-premises, hybrid, air-gapped, and sovereign environments.checked 30 Sep 2026
Interfaces
Listed client interfaces include JDBC, ODBC, Python, and BI tools.checked 30 Sep 2026
Pricing limits
The pricing page gives a consumption rate of $0.175 per vCPU-hour and says bring-your-own-cloud pricing is by contact.checked 30 Sep 2026
Purpose
e6 Query Engine runs SQL and AI workloads directly against existing lakehouse storage without copying data into a separate warehouse.checked 30 Sep 2026
Query guardrails
Per-cluster thresholds can log, alert on, or cancel a query in real time.checked 30 Sep 2026
Scaling
Compute capacity scales in 1-vCPU increments, and autoscaling can be bounded with configured floors and ceilings.checked 30 Sep 2026
Security certifications
The Security & Trust page lists SOC 2 Type II, ISO 27001, and GDPR.checked 30 Sep 2026
SQL features
It supports joins, window functions, and aggregations over large fact tables without down-sampling or pre-aggregation.checked 30 Sep 2026
SQL performance
The product page claims up to 10x faster queries at p95 and 1,000+ QPS at p95 under 2 seconds.checked 30 Sep 2026
Storage and formats
The product page lists S3, ADLS Gen2, and GCS, and the Iceberg, Delta, and Hudi table formats.checked 30 Sep 2026
Support
The documentation directs customers to their e6data CSM or support engineer for setup-specific questions.checked 30 Sep 2026
Vector search
Vector search runs on the same tables as SQL and supports cosine similarity for semantic lookups.checked 30 Sep 2026

The company

Founded
2021checked 28 Sep 2026
Headquarters
San Francisco, California, USAchecked 28 Sep 2026

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