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e6 Query Engine
What e6 Query Engine is
e6 Query Engine runs SQL and AI workloads directly on existing lakehouse storage instead of copying data into another warehouse. It supports joins, window functions and aggregations on large fact tables, plus vector search with cosine similarity over the same tables. The product page claims up to 10x faster p95 queries and 1,000+ QPS at p95 under two seconds. Compute scales in one-vCPU increments, with bounded autoscaling floors and ceilings. Per-cluster thresholds can log, alert on or cancel queries in real time. Listed storage includes S3, ADLS Gen2 and GCS, with Iceberg, Delta and Hudi formats. Connections include JDBC, ODBC, Python and BI tools. Deployment can be serverless or inside a customer Kubernetes cluster in a VPC, including on-premises, hybrid, air-gapped and sovereign environments. The data plane stays in the customer cloud account; the control plane receives metadata and metrics. Pay-as-you-go compute is $0.175 per vCPU-hour with no minimum commitment.
Who it suits
e6 Query Engine suits teams running SQL, AI and vector workloads over lakehouse data. It is relevant when federated access, deployment control and consumption-based compute are priorities.
What it does well
- Queries existing lakehouse storage directly
- Supports SQL and vector search together
- Autoscaling uses one-vCPU increments
- Real-time query guardrails
- Serverless and customer-cluster deployment
What to know first
- No free plan
- Consumption pricing is metered per vCPU-hour
- Outcome-based pricing requires contact
- Performance figures are product-page claims
Limits
Pay-as-you-go compute is metered in increments as small as one vCPU-hour and has no minimum commitment. Outcome-Based Pricing is custom, with contracts listed from six months to three years.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Pay for Compute | $0.175 / vCPU-hour · Pay-as-you-go · no minimum commitment · consumption metered in increments as small as 1 vCPU-hr | $0.18 |
| Outcome-Based Pricing | Custom · contact us · 30–50% savings for 1 to 3 years · guaranteed savings · contracts listed as 6 months to 3 years | On request |
As e6data.com lists them, read 30 Sept 2026. The maker's own page has the final word.
Getting started
- Open the e6 Query Engine website
- Choose pay-as-you-go compute or contact e6data about custom pricing
- Select serverless or deployment in a Kubernetes cluster, VPC, on-premises, hybrid, air-gapped, or sovereign environment
- Connect through JDBC, ODBC, Python, or a BI tool
- Set compute floors, ceilings, and per-cluster query thresholds
Verdict
e6 Query Engine combines SQL, AI and vector workloads over existing lakehouse tables with flexible deployment and query controls. Its pay-as-you-go model has no minimum commitment, while other pricing options require contact.
Questions
How is e6 Query Engine priced?
Pay-as-you-go compute is billed at $0.175 per vCPU-hour, with no minimum commitment. Bring-your-own-cloud pricing is by contact, and Outcome-Based Pricing is custom.
Which storage and table formats are supported?
The listed storage services are S3, ADLS Gen2, and GCS. Supported formats are Iceberg, Delta, and Hudi.
Where can e6 Query Engine run?
It can run serverless or inside a customer's Kubernetes cluster in a VPC. On-premises, hybrid, air-gapped, and sovereign environments are also listed.
Does it support vector search?
Yes. Vector search runs on the same tables as SQL and supports cosine similarity for semantic lookups.
What interfaces can connect to the engine?
Listed client interfaces are JDBC, ODBC, Python, and BI tools.
Facts from e6 Query Engine's own pages
- Compatibility
- The product page lists Databricks, Snowflake, Trino, SageMaker, and Microsoft Fabric as platforms it runs alongside. · e6data.com, 30 Sept 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. · e6data.com, 30 Sept 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. · e6data.com, 30 Sept 2026
- Founded
- 2021 · e6data.com, 28 Sept 2026
- Headquarters
- San Francisco, California, USA · e6data.com, 28 Sept 2026
- Interfaces
- Listed client interfaces include JDBC, ODBC, Python, and BI tools. · e6data.com, 30 Sept 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. · e6data.com, 30 Sept 2026
- Purpose
- e6 Query Engine runs SQL and AI workloads directly against existing lakehouse storage without copying data into a separate warehouse. · e6data.com, 30 Sept 2026
- Query guardrails
- Per-cluster thresholds can log, alert on, or cancel a query in real time. · e6data.com, 30 Sept 2026
- Scaling
- Compute capacity scales in 1-vCPU increments, and autoscaling can be bounded with configured floors and ceilings. · e6data.com, 30 Sept 2026
- Security certifications
- The Security & Trust page lists SOC 2 Type II, ISO 27001, and GDPR. · e6data.com, 30 Sept 2026
- SQL features
- It supports joins, window functions, and aggregations over large fact tables without down-sampling or pre-aggregation. · e6data.com, 30 Sept 2026
- SQL performance
- The product page claims up to 10x faster queries at p95 and 1,000+ QPS at p95 under 2 seconds. · e6data.com, 30 Sept 2026
- Storage and formats
- The product page lists S3, ADLS Gen2, and GCS, and the Iceberg, Delta, and Hudi table formats. · e6data.com, 30 Sept 2026
- Support
- The documentation directs customers to their e6data CSM or support engineer for setup-specific questions. · docs.e6data.com, 30 Sept 2026
- Vector search
- Vector search runs on the same tables as SQL and supports cosine similarity for semantic lookups. · e6data.com, 30 Sept 2026
Where e6 Query Engine stands on Freedom251
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