# e6data

**Canonical:** https://apis.io/providers/e6data/  
**Website:** https://www.e6data.com/  
**APIs profiled:** 0

e6data is a lakehouse compute engine built to run high-concurrency, complex SQL analytics and AI workloads directly on open table formats (Apache Iceberg, Delta Lake, Apache Hudi, Hive) with zero data movement, claiming 10x faster queries at 60% lower cost through a decentralized, Kubernetes-native "atomic" architecture that scales compute incrementally. It deploys serverless or in a customer VPC across AWS, GCP and Azure, and interoperates with Databricks, Snowflake, Redshift and Microsoft Fabric. Developers connect over SQL via a JDBC type-4 driver, an official Python connector, and common BI/SQL tools (DBeaver, Superset, Tableau, Power BI, Metabase, Zeppelin, Jupyter), plus a narrow REST surface for query-history reporting. Access is authenticated with Personal Access Tokens and Service Accounts and governed by RBAC with row/column-level controls and SSO. Backed by Accel.

## Kin Score — 33.7 / 100 (thin)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 33.7).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 18.2 |
| Contract Governance | 18.2 |
| Operational Transparency | 18.4 |
| Developer Ergonomics | 64.3 |
| Commercial Clarity | 52.6 |
| Access Clarity | 52.6 |

## Agent readiness — 12.0 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | yes |
| Idempotency | no |
| Error Semantics | documented |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Self-serve signup — onboarding: self-serve, pricing: unknown, trial: no (confidence: medium).

## Security (2)

- **E6Data Authentication** — http/oauth2 · 4 schemes
- **E6Data Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, B2B, Data, Analytics, Lakehouse, SQL, Query Engine, Data Infrastructure, Big Data

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/e6data/). Scores are computed from the provider's own public artifacts under a published rubric.