HEAVY.AI

HEAVY.AI is a GPU-accelerated analytics platform (formerly OmniSci / MapD, now part of NVIDIA) built to interactively query and visualize very large, often geospatial and time-series, datasets. It pairs an open-source, GPU-accelerated SQL database (HeavyDB) with a server-side rendering engine (HeavyRender) and a web-based visual analytics application (Heavy Immerse). Developers interact with the platform through native SQL, an Apache Thrift API, JDBC/ODBC drivers, the heavysql command-line console, a Python data-science client (heavyai) and a JavaScript connector (@heavyai/connector), plus a Vega-based rendering API. The documentation is published on the NVIDIA docs site and exposes an llms.txt index and a hosted MCP server for AI agents.

HEAVY.AI publishes 1 API on the APIs.io network. Tagged areas include Company, Ai, Analytics, Database, and GPU.

HEAVY.AI’s developer surface includes documentation, API reference, getting-started guide, changelog, CLI, authentication, and 11 more developer resources.

23.7/100 emerging Agent 25/100 agent aware Full breakdown ↓
scored 2026-07-20 · rubric v0.4
1 APIs 1 MCP Servers 0 Features
CompanyAiAnalyticsDatabaseGPUSQLGeospatialData VisualizationData ScienceBusiness Intelligence

API Rating

API Evangelist API Evangelist Rating How this is scored →
scored 2026-07-20 · rubric v0.4
Composite quality — 23.7/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 13.5 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 2.7 / 13
Governance 0.0 / 12
Discoverability 7.5 / 10
Agent readiness — 25/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 4 / 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/heavyai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs

HEAVY.AI Platform APIs

The developer interfaces to the HEAVY.AI platform: native SQL against the GPU-accelerated HeavyDB engine, an Apache Thrift API, JDBC/ODBC drivers, the heavysql CLI console, a Py...

MCP Servers

heavyai-mcp.yml

MCP SERVER

Resources

Get Started 2

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 4

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Company 1

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: heavyai
name: HEAVY.AI
description: HEAVY.AI is a GPU-accelerated analytics platform (formerly OmniSci / MapD, now part of NVIDIA) built to interactively
  query and visualize very large, often geospatial and time-series, datasets. It pairs an open-source, GPU-accelerated SQL
  database (HeavyDB) with a server-side rendering engine (HeavyRender) and a web-based visual analytics application (Heavy
  Immerse). Developers interact with the platform through native SQL, an Apache Thrift API, JDBC/ODBC drivers, the heavysql
  command-line console, a Python data-science client (heavyai) and a JavaScript connector (@heavyai/connector), plus a Vega-based
  rendering API. The documentation is published on the NVIDIA docs site and exposes an llms.txt index and a hosted MCP server
  for AI agents.
url: https://raw.githubusercontent.com/api-evangelist/heavyai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- gv
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Ai
- Analytics
- Database
- GPU
- SQL
- Geospatial
- Data Visualization
- Data Science
- Business Intelligence
apis:
- name: HEAVY.AI Platform APIs
  description: 'The developer interfaces to the HEAVY.AI platform: native SQL against the GPU-accelerated HeavyDB engine,
    an Apache Thrift API, JDBC/ODBC drivers, the heavysql CLI console, a Python client (heavyai) and a JavaScript connector,
    and the Vega server-side rendering API. HeavyDB is typically self-hosted, so the base endpoint (default port 6274) is
    deployment-specific.'
  humanURL: https://docs.nvidia.com/heavyai/apis-and-interfaces
  properties:
  - type: APIReference
    url: https://docs.nvidia.com/heavyai/apis-and-interfaces
  - type: Documentation
    url: https://docs.nvidia.com/heavyai/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.heavy.ai
- type: DeveloperPortal
  url: https://docs.nvidia.com/heavyai/
- type: Documentation
  url: https://docs.nvidia.com/heavyai/
- type: APIReference
  url: https://docs.nvidia.com/heavyai/apis-and-interfaces
- type: GettingStarted
  url: https://docs.nvidia.com/heavyai/overview
- type: GitHubOrganization
  url: https://github.com/heavyai
- type: ChangeLog
  url: https://docs.nvidia.com/heavyai/release-notes
- type: ChangeLog
  url: changelog/heavyai-changelog.yml
- type: LLMsTxt
  url: llms/heavyai-llms.txt
- type: MCPServer
  url: mcp/heavyai-mcp.yml
- type: Packages
  url: packages/heavyai-packages.yml
- type: SDKs
  url: packages/heavyai-packages.yml
- type: CLI
  url: cli/heavyai-cli.yml
- type: Authentication
  url: authentication/heavyai-authentication.yml
- type: Lifecycle
  url: lifecycle/heavyai-lifecycle.yml
- type: WellKnown
  url: well-known/heavyai-well-known.yml
- type: DomainSecurity
  url: security/heavyai-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence