The Modern Data Company

Founded by Amit Prakash in N/A

Turn existing enterprise data into reusable data products for analytics and AI applications

Pricing model

N/A

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use DataOS to build, manage, and share governed data products across your organization without replacing your existing data infrastructure. It connects directly to systems like Snowflake, Databricks, and BigQuery, layering semantic definitions, data quality contracts, and access controls over raw records. Business and technical teams can discover curated data assets, monitor data lineage, and prepare information for automated workflows or AI models. This setup cuts engineering time, enforces consistent data policies, and delivers dependable data directly to analytics tools.

What The Modern Data Company does

Define semantic models and metrics for business reportingCreate automated access control policies for sensitive datasetsInspect end-to-end data lineage from source to consumptionValidate incoming data against defined quality contractsPackage transformed data tables into versioned data productsConnect cloud storage buckets and analytical warehousesExpose governed datasets via APIs to downstream applicationsBuild reusable data products with embedded semantic models and quality rulesLayer data governance policies directly over existing warehouses without migrationTrack end-to-end data lineage across disparate data sourcesEnforce access controls and compliance policies automaticallyConnect directly to cloud warehouses including Snowflake, BigQuery, and DatabricksExpose ready-to-use data through consumption APIs for AI models and applicationsMonitor data quality contracts and metadata centrally

Pricing breakdown

Pricing model: N/A

Frequently asked

Snowflake

Databricks

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