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2. What is Metaustral?

Enterprise-grade data governance — without the enterprise price tag or months of implementation.

2.1 The Problem We Solve

Traditional data catalog tools were built for large enterprises with dedicated data engineering teams, six-figure budgets, and months to spare for implementation. The result: most mid-sized companies simply go without — their data remains undocumented, ungoverned, and inaccessible to the people who need it most.

Metaustral changes that equation. It delivers the same capabilities — automated discovery, lineage mapping, data quality scoring, audit trails, AI-powered search — in a product you can set up in minutes and that your entire team can use on day one without training.

2.2 Why Metaustral?

What others charge for How Metaustral delivers it
6–12 months of implementation Operational in minutes — no professional services required
Dedicated data engineering team to maintain it Any admin can manage it from a single web panel
Enterprise licenses starting at $50,000/year Plans starting free — scale as you grow
Complex integrations and vendor lock-in Connect to your existing databases in one click
Months of user training Intuitive UI — analysts are productive on day one
Built for real teams Whether you're a 3-person startup or a 500-person company, Metaustral fits. The Free plan lets you start documenting your most critical assets today — no credit card, no sales call required.

2.3 Plans & Limits

Plan Data Assets DB Connections Users
Free Free Up to 30 1 Up to 3
Starter Starter Up to 300 5 Up to 10
Pro Pro Up to 5,000 25 Up to 30
Business Business Unlimited Unlimited Unlimited
Downgrade safety If you downgrade to a plan with fewer assets, existing assets are preserved. You won't be able to create new ones until you're within the limit.

2.4 Typical Use Cases

  • Data governance programs: assign owners, stewards, and sensitivity to every asset — without a dedicated data governance tool costing six figures.
  • Self-service analytics: enable analysts to find and understand datasets without asking the data team, reducing back-and-forth by hours each week.
  • Regulatory compliance: track sensitive PII columns and audit every change with a full log — ready for SOX, GDPR, or HIPAA reviews.
  • Onboarding acceleration: new team members explore the catalog to understand the data landscape in hours, not weeks — saving days of senior engineer time.
  • Impact analysis: use data lineage to understand which reports break when a source table changes, before making the change.
  • Metadata synchronization: keep the catalog up to date automatically with scheduled imports — no manual work required.