PANADATA vs Databricks
Side-by-side comparison of AI visibility scores, market position, and capabilities
Panama City YC W20 public data aggregation platform for LATAM corporate intelligence at $440K ARR; $150K seed serving MIT, Alcogal, and Codere with automated due diligence and portfolio monitoring for legal/compliance teams.
About
PANADATA is a Panama City, Panama-based public data aggregation and business intelligence platform — backed by Y Combinator (W20) with $150,000 in seed funding from YC, Asymmetry Ventures, Bali Venture Partners, and Relumin — providing legal firms, compliance teams, corporate counsel, and financial institutions across Latin America with automated access to public records including corporate registrations, property ownership data, trademark filings, court records, and regulatory compliance histories consolidated from government databases across Panama and the broader LATAM region. Founded in 2017 and generating $440,000 in annual revenue with a 9-person team, PANADATA serves enterprise customers including MIT, Alcogal (Panama's largest law firm), and Codere (international gaming company) with due diligence automation, portfolio monitoring, and corporate intelligence workflows.
$4.8B revenue run-rate; 55% YoY growth; $134B valuation (Series L). Mosaic AI for enterprise LLM fine-tuning and inference; Unity Catalog for data governance. DBRX open-source model; every major enterprise AI deployment runs on the lakehouse.
About
Databricks was founded in 2013 by the original creators of Apache Spark — Ali Ghodsi, Matei Zaharia, and five other UC Berkeley researchers — to unify data engineering, analytics, and machine learning on a single platform. The company commercialized the lakehouse architecture, combining the flexibility of data lakes with the reliability of data warehouses. Databricks runs on AWS, Azure, and GCP and leads the commercial distribution of the open-source Delta Lake and MLflow projects.\n\nThe platform includes the Databricks Lakehouse for unified data processing, Unity Catalog for governance and lineage tracking, and Mosaic AI for enterprise LLM fine-tuning, model serving, and generative AI application development. It supports data engineering, SQL analytics, BI, feature engineering, and model training within a single governance perimeter, serving enterprises in financial services, healthcare, manufacturing, and media.\n\nDatabricks achieved a $4.8 billion annualized revenue run-rate in early 2025 with 55% year-over-year growth and a $62 billion valuation from its Series L round — one of the most valuable private software companies globally. Its dual role as the leading commercial lakehouse vendor and steward of influential open-source projects gives it a unique ecosystem advantage as enterprises accelerate investment in AI infrastructure.
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