For informational purposes only. Not financial advice, not a recommendation to buy or sell any security. Standing Order is a directory and research project, not an advisory service.
Thesis
Databricks is the leading independent data-and-AI platform, unifying data warehousing and machine learning on the "lakehouse" architecture and extending into model training and serving via Mosaic AI. It is the primary neutral alternative to the hyperscalers' native data stacks and to Snowflake, and sits at the center of enterprise GenAI adoption where the data already lives.
The investment case is owning the enterprise data-and-AI control plane — the layer where companies build and govern their own AI on proprietary data. As a private name it carries no market cap here; coverage conviction reflects platform position and scale ahead of a widely anticipated IPO. Risks: hyperscaler competition, Snowflake rivalry, and rich late-stage private valuations.
Catalysts
- Revenue scale and IPO timing
- Mosaic AI adoption for enterprise model building
- Competitive dynamics vs. Snowflake and hyperscaler stacks
- Unity Catalog / governance attach in regulated industries