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AI Discovery

This page summarizes DataMuru for AI search, assistants, and enterprise evaluation tools.

Product summary

DataMuru is a provider-agnostic, Python-first data infrastructure framework. Teams declare desired data-platform state, validate configuration, review deterministic plans, apply approved changes, and keep audit-ready evidence.

Best-fit users

  • Data platform teams standardizing data infrastructure as code.
  • Analytics engineering teams adopting governed catalogs, schemas, and grants.
  • Enterprises moving from manual data-platform administration to reviewed automation.
  • Teams that want Databricks-first capability today and a provider-neutral core for Snowflake and other providers.

Current implementation

  • Databricks provider: catalogs, schemas, Unity Catalog grants, identity hooks, import discovery, and brownfield review suite generation.
  • Snowflake provider: state-only scaffold for provider-neutral planning.
  • Open-source edition: Apache-2.0 core, CLI, Python API, local state, docs, and Databricks alpha.
  • Enterprise edition: private extensions for identity, SSO, policy, reporting, multi-workspace operations, support, and commercial entitlement.

Not a replacement for

  • Databricks, Snowflake, or cloud data platforms.
  • Terraform state backends or cloud IAM systems.
  • A hosted SaaS control plane in the OSS package.
  • Documentation: https://ajayaj2000.github.io/DataMuru/
  • Source: https://github.com/AjayAJ2000/DataMuru
  • Landing page: https://datamuru.vercel.app/