e6data

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.

e6data is profiled on the APIs.io network. Tagged areas include Company, B2B, Data, Analytics, and Lakehouse.

e6data’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, signup flow, support, and 16 more developer resources.

🌐 Visit website 📡 Source on GitHub

31.8/100 thin ▬ flat Agent 17/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5

AccessSelf serve

0 APIs

CompanyB2BDataAnalyticsLakehouseSQLQuery EngineData InfrastructureBig Data

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 31.8/100 · thin

Contract Quality 0.0 / 25

Developer Ergonomics 11.7 / 20

Commercial Clarity 10.5 / 20

Operational Transparency 2.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 17/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/e6data: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Lifecycle

Conformance

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 3

Authentication, authorization, and security posture

Authentication

Authentication

Compliance

Compliance

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: e6data
name: e6data
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/e6data/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://cdn.prod.website-files.com/6772770a5e5d008a7b3c6a6d/6821f8656a89dc1efd5b7bf4_Open%20Graph%20Image.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- accel
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- B2B
- Data
- Analytics
- Lakehouse
- SQL
- Query Engine
- Data Infrastructure
- Big Data
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.e6data.com/
- type: DeveloperPortal
  url: https://docs.e6data.com/product-documentation
- type: Documentation
  url: https://docs.e6data.com/product-documentation
- type: APIReference
  url: https://docs.e6data.com/product-documentation/connectors-and-drivers/jdbc-driver/api-support
- type: GettingStarted
  url: https://docs.e6data.com/product-documentation/get-started
- type: Blog
  url: https://www.e6data.com/blog
- type: Pricing
  url: https://www.e6data.com/pricing
- type: SignUp
  url: https://docs.e6data.com/product-documentation/sign-up
- type: TermsOfService
  url: https://docs.e6data.com/product-documentation/terms-and-condition
- type: PrivacyPolicy
  url: https://docs.e6data.com/product-documentation/privacy-policy
- type: Support
  url: https://www.e6data.com/contact
- type: GitHubOrganization
  url: https://github.com/e6x-labs
- type: LLMsTxt
  url: llms/e6data-llms.txt
- type: Packages
  url: packages/e6data-packages.yml
- type: SDKs
  url: packages/e6data-packages.yml
- type: Authentication
  url: authentication/e6data-authentication.yml
- type: Conventions
  url: conventions/e6data-conventions.yml
- type: ErrorCatalog
  url: errors/e6data-error-codes.yml
- type: Lifecycle
  url: lifecycle/e6data-lifecycle.yml
- type: ChangeLog
  url: changelog/e6data-changelog.yml
  name: Release Notes & Updates
- type: Conformance
  url: conformance/e6data-conformance.yml
- type: Compliance
  url: https://www.e6data.com/
- type: DomainSecurity
  url: security/e6data-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence