Databricks, the data infrastructure company behind Apache Spark, is moving toward its initial public offering. This prediction market tracks whether the company's market capitalization will close between $150 billion and $175 billion on IPO day. The company has established itself as a leader in data engineering and machine learning, providing critical tools that enterprises worldwide depend on for data processing and analytics. Private market valuations for Databricks have hovered around $43 billion as of early 2026, which provides important context for understanding market expectations around IPO pricing. The $150B–$175B band represents a significant valuation jump, reflecting optimism about the company's revenue growth trajectory, competitive advantages in the data and AI infrastructure space, and the broader market opportunity. At just 1% YES odds, traders appear skeptical of this specific valuation range at IPO, suggesting they anticipate either a lower or higher market capitalization when trading begins. Resolution occurs when Databricks' official market capitalization is recorded at close on its first day of trading. The market provides a transparent mechanism for prediction traders to express views on enterprise software and AI infrastructure valuations.