Databricks vs Cropin

Databricks has a disclosed valuation of $134B, while Cropin's valuation is not publicly available, making a direct size comparison difficult. Databricks employs 6,000 people.

Databricks has raised more in total funding at $20.2B, compared to Cropin's $110M — a gap of $20.1B. Combined, the two companies have completed 6 known funding rounds.

Databricks leads with an Awaira Score of 93/100, while Cropin sits at 70/100. That 23-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Databricks was founded by Ali Ghodsi in 2013. Cropin was founded by Krishna Kumar in 2010. Visit each company's profile on Awaira for a full founder biography.

Databricks: Databricks is an AI and data platform founded in 2013 that provides a unified analytics workspace for data engineering, data science, and machine learning. The company developed Databricks Lakehouse, which combines data lake and data warehouse capabilities, built on Apache Spark technology. Its platform enables organizations to process large-scale data, build machine learning models, and deploy AI applications through a single interface. The company offers several core products: Databricks SQL for analytics, Databricks Machine Learning for model development, and Databricks Jobs for workflow automation. The platform supports multi-cloud deployment across AWS, Azure, and Google Cloud. Databricks serves enterprises across various industries, with customers including organizations in financial services, technology, and healthcare sectors. As of its latest funding round, Databricks has raised $11.2 billion in total funding and maintains a valuation of $134 billion, positioning it among the highest-valued private AI and data companies. The company achieved Series J funding status, indicating significant capital accumulation and investor confidence. Databricks competes with platforms like Snowflake, Teradata, and cloud-native data solutions from major hyperscalers. The company's growth trajectory reflects strong market demand for integrated data and AI infrastructure, driven by increasing enterprise adoption of machine learning and data-driven decision-making. Databricks unified the traditionally separate data warehouse and data lake approaches through its Lakehouse architecture, creating a single platform for analytics and AI workflows. Cropin: Cropin is a digital agriculture and crop intelligence platform that collects, processes, and analyzes data from satellite imagery, weather systems, IoT sensors, and farm management records to generate AI-powered crop performance analytics and risk assessments for agribusinesses, food companies, governments, and financial institutions with agricultural exposure. The platform enables enterprise-level visibility into crop production, supply chain traceability, and climate risk across large farmer networks.\n\nThe company raised approximately $110M in funding from investors including Google, ABC World Asia, and the Bill and Melinda Gates Foundation, and has built a platform covering tens of millions of acres of farmland across 60 countries. Cropin's satellite-based crop monitoring capabilities are used by multinational food companies to track sustainability commitments and supply chain traceability requirements.\n\nCropin occupies a unique position as a global agri-intelligence platform with deep roots in India and emerging market agriculture. The combination of Google investment and Gates Foundation support signals both commercial and development impact relevance, and the company's scale of farmland coverage creates a satellite and AI training data advantage that will be difficult for new entrants to replicate.

Cropin got there first, launching in 2010 — that's 3 years of extra runway. Databricks didn't arrive until 2013. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Databricks has about 6,000 employees; Cropin has about 200-500. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Databricks and Cropin compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.